Senior Agentic AI/ML Engineer

Type of Requisition: Regular

Clearance Requirements: Must currently possess Top Secret/SCI Clearance. Must be able to obtain Top Secret SCI + Polygraph.

Job Family: Data Science and Data Engineering

Job Qualifications: 10+ years related experience; U.S. Citizenship required; Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent experience).

Job Description

Senior Agentic AI/ML Engineer – Crystal City, VA. Design, develop, deploy, and sustain machine learning, artificial intelligence, and agentic AI capabilities that support advanced analytics, automation, and mission‑focused decision‑making. Work across the full AI development lifecycle, including data preparation, model development, agentic workflow design, evaluation, integration, deployment, and operational sustainment.

Key Responsibilities

• Design, develop, train, evaluate, and deploy machine learning models for mission and business use cases.
• Develop clean, maintainable, and efficient Python code while adhering to best practices and coding standards.
• Build and maintain AI/ML pipelines for data ingestion, preprocessing, feature engineering, model training, evaluation, and deployment.
• Design, develop, and integrate modern AI model capabilities into applications and workflows, including prompting, tool calling, RAG, structured outputs, and agentic patterns.
• Develop and support agentic AI workflows that reason over tasks, use tools, retrieve relevant information, execute multi‑step processes, and interact with external systems under defined controls and guardrails.
• Evaluate agentic systems for accuracy, reliability, safety, task completion, tool‑use effectiveness, latency, and operational suitability.
• Support the development of AI‑enabled applications, analytics tools, automation capabilities, and decision‑support systems.
• Collaborate with data engineers, software engineers, analysts, and stakeholders to define requirements and deliver effective AI/ML and agentic AI solutions.
• Design, develop, and integrate APIs, services, and external tools to enable AI/ML and agentic capabilities within larger software systems.
• Establish and maintain reproducible environments, CI/CD workflows, and container‑based deployments using tools such as Docker.
• Work with structured and unstructured data sources to ensure data quality, integrity, usability, and performance.
• Implement and maintain version control using Git to streamline collaboration and code management.
• Ensure all developed solutions meet high standards for security, quality, reliability, explainability, and maintainability.
• Contribute to all stages of the AI/ML, agentic AI, and software development life cycles, from concept and experimentation through testing, deployment, monitoring, and sustainment.

Required Skills

• Proficiency in Python and commonly used AI/ML libraries and frameworks.
• Hands‑on experience developing, training, evaluating, and deploying machine learning models.
• Strong understanding of supervised and unsupervised learning, model evaluation, feature engineering, and data preprocessing techniques.
• Experience working with structured and/or unstructured data in support of analytics or AI/ML use cases.
• Familiarity with modern AI and language model concepts, including prompting, embeddings, retrieval‑augmented generation, structured outputs, tool calling, and model evaluation.
• Experience designing, developing, or integrating agentic AI workflows or applications using LLMs, tools, APIs, memory, retrieval, and multi‑step task execution.
• Understanding of agentic AI concepts, including task planning, goal decomposition, tool selection, orchestration, human‑in‑the‑loop review, guardrails, and evaluation of agent behaviour.
• Experience designing or supporting AI/ML pipelines and reproducible development environments.
• Understanding of MLOps concepts: model versioning, experiment tracking, model registry, CI/CD, monitoring, and deployment of ML‑enabled systems.
• Familiarity with RESTful APIs and integrating AI/ML or agentic AI capabilities into software applications, workflows, or enterprise systems.
• Proficiency with Git‑based version control and collaborative software development workflows.
• Familiarity with containerization tools such as Docker.
• Strong problem‑solving skills and ability to translate complex technical concepts into practical, secure, and mission‑relevant solutions.

Desired Skills

• Experience with PyTorch, TensorFlow, scikit‑learn, MCP, Google ADK, A2A, LangChain, LangGraph, or similar AI/ML and agentic AI frameworks and tools.
• Experience building or supporting LLM‑powered applications such as chat interfaces, agentic workflows, tool calling, retrieval‑augmented generation, workflow automation, or multi‑agent systems.
• Experience designing agents that interact with external tools, APIs, databases, knowledge bases, or enterprise systems.
• Familiarity with agentic design patterns such as planner‑executor, router, evaluator, reflection, tool‑using agents, multi‑agent collaboration, and human‑in‑the‑loop escalation.
• Familiarity with vector databases, semantic search, embeddings, and knowledge retrieval systems.
• Experience evaluating LLM and agentic AI systems using automated evaluations, benchmark datasets, human review, red teaming, or operational performance metrics.
• Experience with cloud‑native AI/ML development or deployment environments.
• Experience with Docker and Kubernetes for scalable deployment of AI/ML and agentic AI workloads.
• Familiarity with data engineering concepts: ETL workflows, data validation, and data pipeline orchestration.
• Experience with relational databases such as PostgreSQL.
• Experience with DevSecOps practices, secure software delivery, or mission‑focused software environments.
• Familiarity with AI safety, security controls, data protection, and governance considerations for deployed AI and agentic systems.

Additional Requirements

• Clearance: Current Top Secret/SCI Clearance with willingness to obtain CI Polygraph.
• Experience: 10+ years related experience.
• Education: Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent experience).
• Location: Onsite in Crystal City, VA with optional CONUS travel.
• Only U.S. Citizens eligible.

Equal Opportunity Employer

We are an Equal Opportunity Employer. Individuals with Disabilities and Protected Veterans are encouraged to apply.