Sr. AI Integration Engineer

Senior AI Integration Engineer

LightEdge Solutions is developing the IT solutions that will propel businesses forward over the next 10 years. Using a combination of shared and private/dedicated platforms, LightEdge has been successful in offering businesses alternatives that streamline operations, improve reliability and reduce costs.

If you are passionate about creating real solutions that help businesses with cutting-edge technology, want to be challenged to think out of the box and be in a position where you can impact change on a daily basis, then LightEdge can offer you a dynamic corporate environment built on teamwork and personal responsibility.

The Senior AI Integration Engineer plays a central role in building, integrating, deploying, and supporting AI-driven workflows across Lightedge's core operational and business systems. This position is an execution partner to AI architecture leadership, helping translate agentic design concepts and approved business needs into production-ready AI agents, automations, and integrations that improve workflow execution, operational efficiency, and decision support.

The ideal candidate combines strong software engineering and systems integration skills with practical experience delivering AI-enabled workflows in business environments. This person must be comfortable working directly with stakeholders to gather requirements, refine scope, and iterate quickly, while also owning a backlog of business-facing AI workflows and serving as the primary technical owner for those workflows once they move into production.

Key Responsibilities

• AI Agent, Harness & Workflow Development
• AI Agent & Workflow Lifecycle Management
• Stakeholder Partnership
• Owned Backlog
• System Integration
• Production Ownership
• Operational Support
• Controls and Readiness
• Engineering Standards
• Optimization
• Documentation
• Cross-Functional Collaboration
• Communications
• Architecture Contribution

Required Qualifications

• Experience building and supporting production workflow integrations across enterprise systems such as ServiceNow, Salesforce, APIs, middleware, and related business platforms.
• Experience taking prototypes, proofs of concept, or citizen-developed automations into governed production environments with appropriate controls, reliability, and supportability.
• Experience supporting production applications, integrations, or automations with direct operational ownership responsibilities.
• Working knowledge of security, access controls, logging, monitoring, and change-management practices for business-critical systems.
• Strong proficiency in Python for AI integrations, workflow automation, and data processing.
• Experience with one or more of JavaScript/TypeScript, Java, or C# for API and application development.
• Experience building and supporting APIs, microservices, distributed systems, and CI/CD pipelines.
• Experience translating business requirements into production-ready technical workflows and integrations.
• Experience evaluating AI outputs, prompt behavior, workflow quality, and operational reliability before production release.
• Experience deploying and supporting production systems in cloud environments such as AWS, Azure, or GCP.
• Ability to work directly with stakeholders to gather requirements, define scope, and iterate based on feedback.
• Excellent communication skills and ability to translate technical decisions into business impact.
• Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.
• 5+ years of relevant experience in software engineering, systems integration, workflow automation, or AI-enabled application delivery.

Preferred Qualifications

• Experience integrating AI-enabled workflows into ServiceNow, Salesforce, or similar enterprise platforms.
• Experience building LLM-based applications, agents, or workflow automations using frameworks such as LangChain, LlamaIndex, Semantic Kernel, or equivalent tools.
• Experience developing AI-powered assistants, copilots, or intelligent automation workflows used by business teams.
• Experience with prompt engineering, evaluation, and tuning of generative AI systems in production contexts.
• Experience with Kubernetes and container-based deployment models.
• Experience with MCP-style integration patterns, orchestration layers, or agent-accessible tool frameworks.
• Experience with SQL and working with operational or analytics data across enterprise platforms.
• Familiarity with vector databases, RAG pipelines, and workflow patterns that combine structured system context with LLM reasoning.
• Familiarity with observability, support runbooks, and incident response practices for automation or integration services.
• Experience with enterprise LLM platforms including ChatGPT, Claude, Gemini, Copilot, or similar tools.
• Previous experience owning a backlog of automation or AI workflow enhancements for internal business users.

Success Metrics

• Timely delivery of production-ready AI workflows that move approved use cases from prototype into governed production.
• Reduction in manual work, cycle time, or support effort through well-integrated AI automations.
• Reliable operation and first-level support of AI workflows that support critical business processes.
• Strong stakeholder adoption and satisfaction across the internal teams using delivered AI workflows.
• Clear business ROI from deployed AI workflows and automations.
• Growth of a prioritized backlog of business-facing AI workflows aligned to Lightedge objectives.

With over 20 years in business, LightEdge offers a full stack of best-in-class IT services delivering flexibility, security, and control. Our solutions include premier colocation across seven purpose-built data centers spanning Des Moines, IA, Kansas City, MO, Omaha, NE, Austin, TX, and Raleigh, NC, industry-leading private Infrastructure as a Service (IaaS) and cloud platforms, and the top global security and compliance measures. Our owned and operated facilities, integrated DR solutions, and premium compliant cloud choices make up a true Hybrid Cloud Solution Center. LightEdge annually undergoes third-party audits for ISO 20000-1, ISO 27001, HIPAA, PCI-DSS 3.2, and SSAE 18 SOC 1 Type II, SOC 2 Type II and SOC 3.