Koniag IT Systems, LLC a Koniag Government Services company
,
is seeking an AI/RPA Solutions Architect with a TS/SCI security clearance to support KITS and our government customer at Langley Air Force Base, Hampton, VA.
We offer competitive compensation and an extraordinary benefits package including health, dental and vision insurance, 401K with company matching, flexible spending accounts, paid holidays, three weeks paid time off, and more.
The AI/RPA Solutions Architect is a critical technical leadership position responsible for designing, prototyping, and transitioning artificial intelligence and robotic process automation solutions that deliver measurable mission value across Air Combat Command. This role requires deep technical expertise in AI/ML technologies, hands-on development capabilities, and the ability to translate complex operational requirements into scalable, secure, and compliant solutions across multiple classification levels.
Essential Functions, Responsibilities & Duties may include, but are not limited to:
Two specialized positions ensure parallel development pipelines:
(NIPRNet/SIPRnet/AFSCI Architect) will provide on-site AI/RPA technical advisory, solution development, and user-driven innovation facilitation.
Designs, prototypes, transitions AI and RPA workflows and tools in support of ACC/A589 mission requirements; provides dedicated on-site technical advisory and user-driven innovation support; ensures alignment with ACC data governance and security policies across classified environments.
Focuses on unclassified and Controlled Unclassified Information (CUI) solutions, classified solutions operating in Secret (SIPRNet) and Top Secret (AFSCI) environments, addressing intelligence, operational planning, and mission-critical applications requiring higher levels of security and compartmentalization.
Will enable rapid prototyping, broader user access, and cross-organizational knowledge sharing.
This architect will develop solutions that can be widely deployed, tested, and refined before potential classification upgrades.
Position Differentiation:
NIPRNet vs. SIPRNet/AFSCI NIPRNet Solutions Architect:
Focus Areas:
Unclassified and CUI solutions with broad ACC enterprise applicability
Administrative automation, logistics optimization, training tools, knowledge management
Solutions that can be widely shared, demonstrated, and refined with large user base
Prototypes that may serve as proof-of-concept for classified variants
Classified solutions for intelligence, operational planning, and mission-critical applications
ISR operations support, targeting, mission planning, intelligence analysis
Solutions requiring Secret or Top Secret classification due to data sensitivity
Compartmented solutions for AFSCI environments with strict access controls
Typical Use Cases:
Automated report generation from unclassified data sources
Natural language querying of logistics and maintenance databases
Training content generation and personalization
Administrative workflow automation (leave requests, travel processing, etc.)
Knowledge base intelligent search and Q&A systems
Intelligence report summarization and pattern analysis
Threat assessment and predictive analytics
Operational planning optimization and decision support
Targeting data processing and validation
Classified sensor data analysis and fusion
Environment:
Primary work on NIPRNet systems
Office environment at JBLE with standard IT access
Travel to ACC wings for training, demonstrations, and user engagement
Collaboration with broader DAF and joint community
Primary work in SCIFs and secure facilities at JBLE
Regular access to SIPRNet and AFSCI systems
On-site work at ISR Wings in classified spaces
Limited telework (classified work must be performed in approved facilities)
Clearance:
TS/SCI required (for access to program information and coordination with classified teams), but day-to-day work primarily unclassified.
Essential Job Functions:
AI/RPA Solution Design and Architecture (40%)
Prototype Development:
Design and develop AI/ML and RPA prototypes addressing operational challenges identified by ACC staff, wings, and directorates
Translate user requirements and mission needs into technical specifications and solution architectures
Leverage enterprise-approved AI platforms (e.g., AskSage, GenAI tools) and RPA platforms (e.g., UiPath, Power Automate) to build functional prototypes
Develop solutions including but not limited to:
Automation/RPA: Repetitive task elimination, data entry automation, report generation, workflow orchestration
Decision Support: Predictive analytics, pattern recognition, risk assessment, recommendation engines
Knowledge Management: Intelligent search, document summarization, question-answering systems, knowledge extraction
Data Analysis: Trend identification, anomaly detection, natural language querying, visualization automation
Maintain concurrent development of 3-6 prototypes at various stages of maturity
Conduct rapid prototyping cycles (4-6 weeks from concept to working demo)
Ensure solutions are designed for scalability, maintainability, and government sustainment
Technical Architecture:
Define solution architectures that integrate with existing ACC IT infrastructure, data sources, and security frameworks
Design data pipelines, API integrations, and middleware components
Ensure solutions comply with DoD Enterprise DevSecOps Reference Design and cloud-native principles where applicable
Document technical architectures using standard notation (e.g., UML, C4 model, data flow diagrams)
Conduct technical feasibility assessments for proposed use cases
Evaluate and recommend AI/RPA platforms, tools, and technologies based on mission fit, security posture, and total cost of ownership
Classification-Specific Responsibilities:
NIPRNet Architect:
Focus on solutions that maximize accessibility and collaboration across ACC enterprise
Develop prototypes that can serve as proof-of-concept for potential classified variants
Prioritize solutions with broad applicability (training, logistics, administrative automation)
Design for cross-domain solution (CDS) compatibility where classified variants may be needed
SIPRNet/AFSCI Architect:
Focus on intelligence, operational planning, and mission-critical applications requiring classification
Ensure solutions meet Impact Level 5 (IL5) and Impact Level 6 (IL6) security requirements
Design compartmentalized solutions for AFSCI environments with appropriate access controls
Prioritize solutions supporting ISR operations, targeting, mission planning, and intelligence analysis
Solution Transition and Deployment (25%)
User Validation and Testing:
Conduct user acceptance testing (UAT) with operational end-users in realistic mission contexts
Facilitate iterative refinement based on user feedback and performance metrics
Validate solution accuracy, reliability, and usability against defined acceptance criteria
Document test results, user feedback, and lessons learned
Operational Transition:
Transition successful prototypes to sustained operational use, meeting contractual target of 2+ solutions per quarter
Develop comprehensive transition packages including:
Technical documentation (architecture, configuration, dependencies)
User guides and standard operating procedures (SOPs)
Training materials and train-the-trainer content
Troubleshooting guides and FAQs
Sustainment and maintenance procedures
Conduct knowledge transfer sessions with government personnel designated as solution owners
Provide post-transition support (30-60 days) to ensure stable operations and address issues
Monitor solution performance and user adoption post-transition
Return on Investment (ROI) Documentation:
Quantify mission value for every transitioned solution using standardized methodology
Calculate time savings, cost avoidance, productivity gains, quality improvements, and strategic value
Document ROI with supporting data, user testimonials, and before/after metrics
Present ROI analysis to stakeholders and leadership for validation
Maintain portfolio of transitioned solutions with cumulative impact metrics
Quality Assurance:
Ensure all solutions meet quality standards before transition (security, performance, usability, documentation)
Conduct security reviews and obtain necessary approvals (A6, CDO, security office)
Verify compliance with DoD data handling, CUI marking, and classification requirements
Perform code reviews, vulnerability assessments, and performance testing
Technical Advisory and Consultation (20%)
Stakeholder Engagement:
Serve as technical advisor to ACC / A589 leadership, directorate chiefs, and wing commanders on AI/RPA capabilities and opportunities
Participate in technical working groups, governance councils, and planning forums
Provide expert recommendations on AI/RPA platform selection, integration strategies, and adoption roadmaps
Assess emerging AI/ML technologies and trends for potential ACC application
Conduct technology demonstrations and capability briefings for stakeholders
Use Case Identification and Prioritization:
Collaborate with ACC HQ staff, A589 supported Wings (32 branches), and operational units to identify high-value use cases
Conduct discovery sessions, process walkthroughs, and pain point analysis
Evaluate use cases for technical feasibility, ROI potential, security implications, and strategic alignment
Develop prioritization frameworks considering mission impact, effort, risk, and dependencies
Maintain backlog of prioritized use cases with documented business cases
Cross-Functional Collaboration:
Work closely with training, resource management, and user support teams to ensure holistic solution delivery
Coordinate with security and compliance leads to ensure solutions meet all requirements
Engage with platform vendors (AskSage, UiPath, Microsoft, etc.) for technical support and capability enhancement
Collaborate with other MAJCOM AI/RPA teams to share lessons learned and reusable components
Participate in DAF-wide AI community of practice and knowledge sharing forums
Classified Environment Support:
Provide on-site technical support in classified A589 facilities (SIPRNet SCIFs, AFSCI spaces)
Troubleshoot classified solution issues and provide expert guidance
Conduct in-person workshops and hackathons in classified environments
Mentor government personnel on AI/RPA development in classified contexts
Innovation and Continuous Improvement (10%)
Process Improvement:
Identify opportunities to automate internal program processes (e.g., reporting, resource management, quality assurance)
Develop tools and scripts to improve team productivity and efficiency
Contribute to program innovation targets (4+ process improvements per quarter)
Document and share best practices, lessons learned, and reusable code/components
Research and Development:
Stay current on AI/ML research, emerging technologies, and industry best practices
Experiment with new A589 AI platforms, frameworks, and techniques
Prototype innovative solutions that push the boundaries of current capabilities
Contribute to thought leadership through presentations, white papers, and publications
Hackathon and Innovation Event Support:
Plan and facilitate quarterly hackathons engaging 25+ participants per event
Provide technical mentorship to participants during problem-solving sessions
Evaluate hackathon outputs for potential prototype development
Foster culture of innovation and experimentation across ACC
Documentation and Knowledge Management (5%)
Technical Documentation:
Maintain comprehensive documentation for all A589 solutions (architecture, code, configuration, deployment)
Contribute to living knowledge base with articles, tutorials, and troubleshooting guides
Develop reusable templates, frameworks, and code libraries
Document lessons learned and best practices for future reference
Reporting and Metrics:
Provide regular updates on solution development pipeline status
Report on prototype progress, transition milestones, and ROI metrics
Contribute to monthly program reviews and quarterly performance briefs
Maintain accurate records in project tracking systems (Jira, Azure DevOps, AWS, etc.)
Performance Expectations:
Quarterly Targets (Minimum)
Prototypes Developed: 3+ AI/RPA prototypes per quarter
Solutions Transitioned: 2+ solutions transitioned to operational use per quarter (with documented ROI)
Use Cases Identified: 10+ new use cases identified and documented per quarter
Stakeholder Engagement: Participate in 4+ wing visits, technical working groups, or leadership briefings per quarter
ROI Documentation: 100% of transitioned solutions have quantified ROI with supporting evidence
User Satisfaction: Achieve ?4.0/5.0 average user satisfaction rating for transitioned solutions
Annual Targets:
Total Prototypes: 12+ prototypes developed
Total Transitions: 8+ solutions transitioned to sustained operations
Cumulative ROI: Document ?10,000 hours saved or ?$2M cost avoidance from transitioned solutions
Innovation: Contribute to 4+ process improvements or innovative capabilities
Knowledge Sharing: Deliver 2+ presentations or training sessions to broader community
Quality Standards:
Security Compliance: Zero security incidents attributable to architect's work
Code Quality: All code meets established standards (peer reviewed, documented, tested)
Documentation: 100% of solutions have complete technical documentation and transition packages
Timeliness: 90%+ of milestones delivered on or ahead of schedule
Stakeholder Satisfaction: ?4.5/5.0 rating from COR and key stakeholders
Physical Demands:
Prolonged periods of sitting and working at a computer workstation
Visual acuity for detailed technical work and data analysis
Manual dexterity for typing, coding, and operating computer equipment
Schedule and Availability:
Core Hours: EST, Monday-Friday), with occasional extended hours to meet mission deadlines or support operational events
Flexibility: Occasional early morning or evening meetings to accommodate wing schedules across time zones
Surge Periods: Increased hours during major milestones, events, or exercises (with advance notice)
Security Environment:
Work with classified information up to Top Secret/SCI level
Compliance with OPSEC, CUI handling, and classification protocols
Subject to security inspections, audits, and continuous evaluation
Adherence to base access, badge, and facility security requirements
Minimum Qualifications, Certifications, and Platform Credentials:
Required Qualfications:
Education:
Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Software Engineering, Information Systems, or related technical field
Master's degree preferred in AI/ML, Computer Science, or related discipline
Experience:
Minimum 5+ years of hands-on experience in AI/ML solution design, development, integration, and testing
Minimum 3+ years of experience in DoD, federal government, or defense contractor environments
Demonstrated experience prototyping and deploying AI/ML or RPA solutions that delivered measurable business value
Experience working in classified environments (SIPRNet, JWICS, or equivalent) - required for Position 2
Experience with multiple classification levels (unclassified, Secret, Top Secret) preferred
Certifications (Required):
AI Engineer Certification or equivalent (e.g., AWS Certified Machine Learning, Google Professional ML Engineer, Microsoft Azure AI Engineer, TensorFlow Developer Certificate)
RPA Certification: UiPath Certified RPA Associate OR Microsoft Power Automate certification (RPA Developer Associate or equivalent)
CompTIA Security+ (or higher DoD 8570 IAT Level II certification such as CISSP, CASP+, GIAC)
Certifications (Preferred)
Microsoft Power Platform Fundamentals (PL-900)
DoD 8140/8570 Compliance: Additional certifications meeting Cyber Workforce Framework (DCWF) requirements
Cloud Certifications: AWS Solutions Architect, Azure Solutions Architect, or equivalent
Data Science/Analytics: Certified Analytics Professional (CAP), SAS Certified Data Scientist, or equivalent
Security Clearance
TS/SCI clearance required - Must be current and in-scope at contract start (no exceptions)
Willingness to undergo polygraph if required for specific AFSCI access (Position 2)
Must be able to obtain and maintain additional compartmented accesses as mission requires
Technical Skills (Required)
AI/ML Technologies:
Proficiency with Large Language Models (LLMs) and Generative AI platforms (GPT, Claude, LLaMA, or similar)
Experience with ML frameworks: TensorFlow, PyTorch, scikit-learn, Keras, or equivalent
Knowledge of AI/ML techniques: supervised/unsupervised learning, deep learning, natural language processing (NLP), computer vision, reinforcement learning
Experience with prompt engineering and fine-tuning LLMs for domain-specific applications
Understanding of AI ethics, bias mitigation, and responsible AI principles
RPA Technologies:
Hands-on experience with UiPath (Studio, Orchestrator, Robots) or Microsoft Power Automate (Desktop, Cloud Flows, Process Advisor)
Ability to design, develop, and deploy end-to-end RPA workflows
Experience with process mining and automation opportunity identification
Knowledge of attended vs. unattended automation patterns
Programming and Development:
Proficiency in Python (required) - for AI/ML development, data processing, and scripting
Experience with SQL - for database querying and data extraction
Familiarity with additional languages: PowerShell, JavaScript, C#, or Java (preferred)
API development and integration - RESTful APIs, webhooks, authentication (OAuth, API keys)
Version control: Git, GitHub, GitLab, or Azure DevOps
Data and Analytics:
Data pipeline development - ETL/ELT processes, data transformation, data quality
Data visualization - Power BI, Tableau, or equivalent
Database technologies - SQL Server, PostgreSQL, MongoDB, or equivalent
Big data technologies - Spark, Hadoop, or cloud-native data platforms (preferred)
Cloud and Infrastructure:
Cloud platforms: Azure (preferred), AWS, or Google Cloud Platform
Containerization: Docker, Kubernetes (preferred)
Infrastructure as Code: Terraform, ARM templates, or equivalent (preferred)
CI/CD pipelines: Azure DevOps, Jenkins, GitLab CI, or equivalent
Security and Compliance:
DoD cybersecurity frameworks: RMF, NIST 800-53, DISA STIGs
Data classification and handling: CUI, Secret, Top Secret, compartmented information
Secure coding practices and vulnerability mitigation
Impact Level 5 (IL5) and Impact Level 6 (IL6) cloud security requirements (Position 2)
Soft Skills (Required)
Excellent communication skills - Ability to explain complex technical concepts to non-technical audiences (commanders, planners, analysts)
User-centered design mindset - Focus on solving user problems, not just applying technology
Collaboration and teamwork - Work effectively across functional teams and with government partners
Problem-solving and critical thinking - Analyze complex problems, evaluate alternatives, and recommend solutions
Adaptability and flexibility - Thrive in dynamic, fast-paced environment with shifting priorities
Self-motivated and proactive - Take initiative, identify opportunities, and drive results
Attention to detail - Ensure accuracy, quality, and completeness in all work products
Customer service orientation - Responsive, professional, and mission-focused
Preferred Qualifications:
7+ years of AI/ML or RPA experience in enterprise environments
Experience in military or intelligence community operations, workflows, and mission context
Prior Air Force or DoD contract performance with understanding of ACC mission and operations
Experience leading technical teams or mentoring junior developers
Published research, presentations, or thought leadership in AI/ML domain
Experience with specific platforms: AskSage, Palantir, Databricks, Snowflake, or other enterprise AI/data platforms
Knowledge of ISR operations, intelligence analysis workflows, or operational planning processes (Position 2)
Familiarity with Air Force data architecture and enterprise systems (DCGS, GCCS, MilCloud, etc.)
Our Equal Employment Opportunity Policy
The company is an equal opportunity employer. The company shall not discriminate against any employee or applicant because of race, color, religion, creed, ethnicity, sex, sexual orientation, gender or gender identity (except where gender is a bona fide occupational qualification), national origin or ancestry, age, disability, citizenship, military/veteran status, marital status, genetic information or any other characteristic protected by applicable federal, state, or local law. We are committed to equal employment opportunity in all decisions related to employment, promotion, wages, benefits, and all other privileges, terms, and conditions of employment.
The company is dedicated to seeking all qualified applicants. If you require an accommodation to navigate or apply for a position on our website, please get in touch with Heaven Wood via e-mail at or by calling to request accommodations.
Koniag Government Services (KGS) is an Alaska Native Owned corporation supporting the values and traditions of our native communities through an agile employee and corporate culture that delivers Enterprise Solutions, Professional Services and Operational Management to Federal Government Agencies. As a wholly owned subsidiary of Koniag, we apply our proven commercial solutions to a deep knowledge of Defense and Civilian missions to provide forward leaning technical, professional, and operational solutions. KGS enables successful mission outcomes for our customers through solution-oriented business partnerships and a commitment to exceptional service delivery. We ensure long-term success with a continuous improvement approach while balancing the collective interests of our customers, employees, and native communities. For more information, please visit Equal Opportunity Employer/Veterans/Disabled. Shareholder Preference in accordance with Public Law 88-352
,
is seeking an AI/RPA Solutions Architect with a TS/SCI security clearance to support KITS and our government customer at Langley Air Force Base, Hampton, VA.
We offer competitive compensation and an extraordinary benefits package including health, dental and vision insurance, 401K with company matching, flexible spending accounts, paid holidays, three weeks paid time off, and more.
The AI/RPA Solutions Architect is a critical technical leadership position responsible for designing, prototyping, and transitioning artificial intelligence and robotic process automation solutions that deliver measurable mission value across Air Combat Command. This role requires deep technical expertise in AI/ML technologies, hands-on development capabilities, and the ability to translate complex operational requirements into scalable, secure, and compliant solutions across multiple classification levels.
Essential Functions, Responsibilities & Duties may include, but are not limited to:
Two specialized positions ensure parallel development pipelines:
(NIPRNet/SIPRnet/AFSCI Architect) will provide on-site AI/RPA technical advisory, solution development, and user-driven innovation facilitation.
Designs, prototypes, transitions AI and RPA workflows and tools in support of ACC/A589 mission requirements; provides dedicated on-site technical advisory and user-driven innovation support; ensures alignment with ACC data governance and security policies across classified environments.
Focuses on unclassified and Controlled Unclassified Information (CUI) solutions, classified solutions operating in Secret (SIPRNet) and Top Secret (AFSCI) environments, addressing intelligence, operational planning, and mission-critical applications requiring higher levels of security and compartmentalization.
Will enable rapid prototyping, broader user access, and cross-organizational knowledge sharing.
This architect will develop solutions that can be widely deployed, tested, and refined before potential classification upgrades.
Position Differentiation:
NIPRNet vs. SIPRNet/AFSCI NIPRNet Solutions Architect:
Focus Areas:
Unclassified and CUI solutions with broad ACC enterprise applicability
Administrative automation, logistics optimization, training tools, knowledge management
Solutions that can be widely shared, demonstrated, and refined with large user base
Prototypes that may serve as proof-of-concept for classified variants
Classified solutions for intelligence, operational planning, and mission-critical applications
ISR operations support, targeting, mission planning, intelligence analysis
Solutions requiring Secret or Top Secret classification due to data sensitivity
Compartmented solutions for AFSCI environments with strict access controls
Typical Use Cases:
Automated report generation from unclassified data sources
Natural language querying of logistics and maintenance databases
Training content generation and personalization
Administrative workflow automation (leave requests, travel processing, etc.)
Knowledge base intelligent search and Q&A systems
Intelligence report summarization and pattern analysis
Threat assessment and predictive analytics
Operational planning optimization and decision support
Targeting data processing and validation
Classified sensor data analysis and fusion
Environment:
Primary work on NIPRNet systems
Office environment at JBLE with standard IT access
Travel to ACC wings for training, demonstrations, and user engagement
Collaboration with broader DAF and joint community
Primary work in SCIFs and secure facilities at JBLE
Regular access to SIPRNet and AFSCI systems
On-site work at ISR Wings in classified spaces
Limited telework (classified work must be performed in approved facilities)
Clearance:
TS/SCI required (for access to program information and coordination with classified teams), but day-to-day work primarily unclassified.
Essential Job Functions:
AI/RPA Solution Design and Architecture (40%)
Prototype Development:
Design and develop AI/ML and RPA prototypes addressing operational challenges identified by ACC staff, wings, and directorates
Translate user requirements and mission needs into technical specifications and solution architectures
Leverage enterprise-approved AI platforms (e.g., AskSage, GenAI tools) and RPA platforms (e.g., UiPath, Power Automate) to build functional prototypes
Develop solutions including but not limited to:
Automation/RPA: Repetitive task elimination, data entry automation, report generation, workflow orchestration
Decision Support: Predictive analytics, pattern recognition, risk assessment, recommendation engines
Knowledge Management: Intelligent search, document summarization, question-answering systems, knowledge extraction
Data Analysis: Trend identification, anomaly detection, natural language querying, visualization automation
Maintain concurrent development of 3-6 prototypes at various stages of maturity
Conduct rapid prototyping cycles (4-6 weeks from concept to working demo)
Ensure solutions are designed for scalability, maintainability, and government sustainment
Technical Architecture:
Define solution architectures that integrate with existing ACC IT infrastructure, data sources, and security frameworks
Design data pipelines, API integrations, and middleware components
Ensure solutions comply with DoD Enterprise DevSecOps Reference Design and cloud-native principles where applicable
Document technical architectures using standard notation (e.g., UML, C4 model, data flow diagrams)
Conduct technical feasibility assessments for proposed use cases
Evaluate and recommend AI/RPA platforms, tools, and technologies based on mission fit, security posture, and total cost of ownership
Classification-Specific Responsibilities:
NIPRNet Architect:
Focus on solutions that maximize accessibility and collaboration across ACC enterprise
Develop prototypes that can serve as proof-of-concept for potential classified variants
Prioritize solutions with broad applicability (training, logistics, administrative automation)
Design for cross-domain solution (CDS) compatibility where classified variants may be needed
SIPRNet/AFSCI Architect:
Focus on intelligence, operational planning, and mission-critical applications requiring classification
Ensure solutions meet Impact Level 5 (IL5) and Impact Level 6 (IL6) security requirements
Design compartmentalized solutions for AFSCI environments with appropriate access controls
Prioritize solutions supporting ISR operations, targeting, mission planning, and intelligence analysis
Solution Transition and Deployment (25%)
User Validation and Testing:
Conduct user acceptance testing (UAT) with operational end-users in realistic mission contexts
Facilitate iterative refinement based on user feedback and performance metrics
Validate solution accuracy, reliability, and usability against defined acceptance criteria
Document test results, user feedback, and lessons learned
Operational Transition:
Transition successful prototypes to sustained operational use, meeting contractual target of 2+ solutions per quarter
Develop comprehensive transition packages including:
Technical documentation (architecture, configuration, dependencies)
User guides and standard operating procedures (SOPs)
Training materials and train-the-trainer content
Troubleshooting guides and FAQs
Sustainment and maintenance procedures
Conduct knowledge transfer sessions with government personnel designated as solution owners
Provide post-transition support (30-60 days) to ensure stable operations and address issues
Monitor solution performance and user adoption post-transition
Return on Investment (ROI) Documentation:
Quantify mission value for every transitioned solution using standardized methodology
Calculate time savings, cost avoidance, productivity gains, quality improvements, and strategic value
Document ROI with supporting data, user testimonials, and before/after metrics
Present ROI analysis to stakeholders and leadership for validation
Maintain portfolio of transitioned solutions with cumulative impact metrics
Quality Assurance:
Ensure all solutions meet quality standards before transition (security, performance, usability, documentation)
Conduct security reviews and obtain necessary approvals (A6, CDO, security office)
Verify compliance with DoD data handling, CUI marking, and classification requirements
Perform code reviews, vulnerability assessments, and performance testing
Technical Advisory and Consultation (20%)
Stakeholder Engagement:
Serve as technical advisor to ACC / A589 leadership, directorate chiefs, and wing commanders on AI/RPA capabilities and opportunities
Participate in technical working groups, governance councils, and planning forums
Provide expert recommendations on AI/RPA platform selection, integration strategies, and adoption roadmaps
Assess emerging AI/ML technologies and trends for potential ACC application
Conduct technology demonstrations and capability briefings for stakeholders
Use Case Identification and Prioritization:
Collaborate with ACC HQ staff, A589 supported Wings (32 branches), and operational units to identify high-value use cases
Conduct discovery sessions, process walkthroughs, and pain point analysis
Evaluate use cases for technical feasibility, ROI potential, security implications, and strategic alignment
Develop prioritization frameworks considering mission impact, effort, risk, and dependencies
Maintain backlog of prioritized use cases with documented business cases
Cross-Functional Collaboration:
Work closely with training, resource management, and user support teams to ensure holistic solution delivery
Coordinate with security and compliance leads to ensure solutions meet all requirements
Engage with platform vendors (AskSage, UiPath, Microsoft, etc.) for technical support and capability enhancement
Collaborate with other MAJCOM AI/RPA teams to share lessons learned and reusable components
Participate in DAF-wide AI community of practice and knowledge sharing forums
Classified Environment Support:
Provide on-site technical support in classified A589 facilities (SIPRNet SCIFs, AFSCI spaces)
Troubleshoot classified solution issues and provide expert guidance
Conduct in-person workshops and hackathons in classified environments
Mentor government personnel on AI/RPA development in classified contexts
Innovation and Continuous Improvement (10%)
Process Improvement:
Identify opportunities to automate internal program processes (e.g., reporting, resource management, quality assurance)
Develop tools and scripts to improve team productivity and efficiency
Contribute to program innovation targets (4+ process improvements per quarter)
Document and share best practices, lessons learned, and reusable code/components
Research and Development:
Stay current on AI/ML research, emerging technologies, and industry best practices
Experiment with new A589 AI platforms, frameworks, and techniques
Prototype innovative solutions that push the boundaries of current capabilities
Contribute to thought leadership through presentations, white papers, and publications
Hackathon and Innovation Event Support:
Plan and facilitate quarterly hackathons engaging 25+ participants per event
Provide technical mentorship to participants during problem-solving sessions
Evaluate hackathon outputs for potential prototype development
Foster culture of innovation and experimentation across ACC
Documentation and Knowledge Management (5%)
Technical Documentation:
Maintain comprehensive documentation for all A589 solutions (architecture, code, configuration, deployment)
Contribute to living knowledge base with articles, tutorials, and troubleshooting guides
Develop reusable templates, frameworks, and code libraries
Document lessons learned and best practices for future reference
Reporting and Metrics:
Provide regular updates on solution development pipeline status
Report on prototype progress, transition milestones, and ROI metrics
Contribute to monthly program reviews and quarterly performance briefs
Maintain accurate records in project tracking systems (Jira, Azure DevOps, AWS, etc.)
Performance Expectations:
Quarterly Targets (Minimum)
Prototypes Developed: 3+ AI/RPA prototypes per quarter
Solutions Transitioned: 2+ solutions transitioned to operational use per quarter (with documented ROI)
Use Cases Identified: 10+ new use cases identified and documented per quarter
Stakeholder Engagement: Participate in 4+ wing visits, technical working groups, or leadership briefings per quarter
ROI Documentation: 100% of transitioned solutions have quantified ROI with supporting evidence
User Satisfaction: Achieve ?4.0/5.0 average user satisfaction rating for transitioned solutions
Annual Targets:
Total Prototypes: 12+ prototypes developed
Total Transitions: 8+ solutions transitioned to sustained operations
Cumulative ROI: Document ?10,000 hours saved or ?$2M cost avoidance from transitioned solutions
Innovation: Contribute to 4+ process improvements or innovative capabilities
Knowledge Sharing: Deliver 2+ presentations or training sessions to broader community
Quality Standards:
Security Compliance: Zero security incidents attributable to architect's work
Code Quality: All code meets established standards (peer reviewed, documented, tested)
Documentation: 100% of solutions have complete technical documentation and transition packages
Timeliness: 90%+ of milestones delivered on or ahead of schedule
Stakeholder Satisfaction: ?4.5/5.0 rating from COR and key stakeholders
Physical Demands:
Prolonged periods of sitting and working at a computer workstation
Visual acuity for detailed technical work and data analysis
Manual dexterity for typing, coding, and operating computer equipment
Schedule and Availability:
Core Hours: EST, Monday-Friday), with occasional extended hours to meet mission deadlines or support operational events
Flexibility: Occasional early morning or evening meetings to accommodate wing schedules across time zones
Surge Periods: Increased hours during major milestones, events, or exercises (with advance notice)
Security Environment:
Work with classified information up to Top Secret/SCI level
Compliance with OPSEC, CUI handling, and classification protocols
Subject to security inspections, audits, and continuous evaluation
Adherence to base access, badge, and facility security requirements
Minimum Qualifications, Certifications, and Platform Credentials:
Required Qualfications:
Education:
Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Software Engineering, Information Systems, or related technical field
Master's degree preferred in AI/ML, Computer Science, or related discipline
Experience:
Minimum 5+ years of hands-on experience in AI/ML solution design, development, integration, and testing
Minimum 3+ years of experience in DoD, federal government, or defense contractor environments
Demonstrated experience prototyping and deploying AI/ML or RPA solutions that delivered measurable business value
Experience working in classified environments (SIPRNet, JWICS, or equivalent) - required for Position 2
Experience with multiple classification levels (unclassified, Secret, Top Secret) preferred
Certifications (Required):
AI Engineer Certification or equivalent (e.g., AWS Certified Machine Learning, Google Professional ML Engineer, Microsoft Azure AI Engineer, TensorFlow Developer Certificate)
RPA Certification: UiPath Certified RPA Associate OR Microsoft Power Automate certification (RPA Developer Associate or equivalent)
CompTIA Security+ (or higher DoD 8570 IAT Level II certification such as CISSP, CASP+, GIAC)
Certifications (Preferred)
Microsoft Power Platform Fundamentals (PL-900)
DoD 8140/8570 Compliance: Additional certifications meeting Cyber Workforce Framework (DCWF) requirements
Cloud Certifications: AWS Solutions Architect, Azure Solutions Architect, or equivalent
Data Science/Analytics: Certified Analytics Professional (CAP), SAS Certified Data Scientist, or equivalent
Security Clearance
TS/SCI clearance required - Must be current and in-scope at contract start (no exceptions)
Willingness to undergo polygraph if required for specific AFSCI access (Position 2)
Must be able to obtain and maintain additional compartmented accesses as mission requires
Technical Skills (Required)
AI/ML Technologies:
Proficiency with Large Language Models (LLMs) and Generative AI platforms (GPT, Claude, LLaMA, or similar)
Experience with ML frameworks: TensorFlow, PyTorch, scikit-learn, Keras, or equivalent
Knowledge of AI/ML techniques: supervised/unsupervised learning, deep learning, natural language processing (NLP), computer vision, reinforcement learning
Experience with prompt engineering and fine-tuning LLMs for domain-specific applications
Understanding of AI ethics, bias mitigation, and responsible AI principles
RPA Technologies:
Hands-on experience with UiPath (Studio, Orchestrator, Robots) or Microsoft Power Automate (Desktop, Cloud Flows, Process Advisor)
Ability to design, develop, and deploy end-to-end RPA workflows
Experience with process mining and automation opportunity identification
Knowledge of attended vs. unattended automation patterns
Programming and Development:
Proficiency in Python (required) - for AI/ML development, data processing, and scripting
Experience with SQL - for database querying and data extraction
Familiarity with additional languages: PowerShell, JavaScript, C#, or Java (preferred)
API development and integration - RESTful APIs, webhooks, authentication (OAuth, API keys)
Version control: Git, GitHub, GitLab, or Azure DevOps
Data and Analytics:
Data pipeline development - ETL/ELT processes, data transformation, data quality
Data visualization - Power BI, Tableau, or equivalent
Database technologies - SQL Server, PostgreSQL, MongoDB, or equivalent
Big data technologies - Spark, Hadoop, or cloud-native data platforms (preferred)
Cloud and Infrastructure:
Cloud platforms: Azure (preferred), AWS, or Google Cloud Platform
Containerization: Docker, Kubernetes (preferred)
Infrastructure as Code: Terraform, ARM templates, or equivalent (preferred)
CI/CD pipelines: Azure DevOps, Jenkins, GitLab CI, or equivalent
Security and Compliance:
DoD cybersecurity frameworks: RMF, NIST 800-53, DISA STIGs
Data classification and handling: CUI, Secret, Top Secret, compartmented information
Secure coding practices and vulnerability mitigation
Impact Level 5 (IL5) and Impact Level 6 (IL6) cloud security requirements (Position 2)
Soft Skills (Required)
Excellent communication skills - Ability to explain complex technical concepts to non-technical audiences (commanders, planners, analysts)
User-centered design mindset - Focus on solving user problems, not just applying technology
Collaboration and teamwork - Work effectively across functional teams and with government partners
Problem-solving and critical thinking - Analyze complex problems, evaluate alternatives, and recommend solutions
Adaptability and flexibility - Thrive in dynamic, fast-paced environment with shifting priorities
Self-motivated and proactive - Take initiative, identify opportunities, and drive results
Attention to detail - Ensure accuracy, quality, and completeness in all work products
Customer service orientation - Responsive, professional, and mission-focused
Preferred Qualifications:
7+ years of AI/ML or RPA experience in enterprise environments
Experience in military or intelligence community operations, workflows, and mission context
Prior Air Force or DoD contract performance with understanding of ACC mission and operations
Experience leading technical teams or mentoring junior developers
Published research, presentations, or thought leadership in AI/ML domain
Experience with specific platforms: AskSage, Palantir, Databricks, Snowflake, or other enterprise AI/data platforms
Knowledge of ISR operations, intelligence analysis workflows, or operational planning processes (Position 2)
Familiarity with Air Force data architecture and enterprise systems (DCGS, GCCS, MilCloud, etc.)
Our Equal Employment Opportunity Policy
The company is an equal opportunity employer. The company shall not discriminate against any employee or applicant because of race, color, religion, creed, ethnicity, sex, sexual orientation, gender or gender identity (except where gender is a bona fide occupational qualification), national origin or ancestry, age, disability, citizenship, military/veteran status, marital status, genetic information or any other characteristic protected by applicable federal, state, or local law. We are committed to equal employment opportunity in all decisions related to employment, promotion, wages, benefits, and all other privileges, terms, and conditions of employment.
The company is dedicated to seeking all qualified applicants. If you require an accommodation to navigate or apply for a position on our website, please get in touch with Heaven Wood via e-mail at or by calling to request accommodations.
Koniag Government Services (KGS) is an Alaska Native Owned corporation supporting the values and traditions of our native communities through an agile employee and corporate culture that delivers Enterprise Solutions, Professional Services and Operational Management to Federal Government Agencies. As a wholly owned subsidiary of Koniag, we apply our proven commercial solutions to a deep knowledge of Defense and Civilian missions to provide forward leaning technical, professional, and operational solutions. KGS enables successful mission outcomes for our customers through solution-oriented business partnerships and a commitment to exceptional service delivery. We ensure long-term success with a continuous improvement approach while balancing the collective interests of our customers, employees, and native communities. For more information, please visit Equal Opportunity Employer/Veterans/Disabled. Shareholder Preference in accordance with Public Law 88-352
AI/RPA Solutions Architect Jobs in hampton at Unknown Company
This position is listed as contract and onsite.