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).

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.

• 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.

• 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…