Sr. AI/ML Engineer II (6883)

MetroStar•Tysons, VA

19d•$180,000 - $205,000•Onsite

About The Position

The Sr. AI/ML Engineer II designs, builds, deploys, and maintains production-ready AI and machine learning solutions, applying advanced ML techniques to support Retrieval-Augmented Generation (RAG) and mission-focused outcomes. The role serves as a hands-on technical lead and trusted technical advisor, providing technical guidance, architectural direction, and implementation strategy while ensuring secure and effective system integration. The engineer translates complex findings into actionable insights for technical and nontechnical audiences across the organization. The position focuses on AI/ML solutions in secure, classified AWS cloud environments at Impact Level 6 (IL6) or higher, including agentic AI systems and containerized applications. The engineer supports data architectures and services, model optimization and evaluation, and delivery through Agile user stories and DevSecOps CI/CD pipelines. The role works primarily onsite at designated DC Metro locations, including Tysons Corner and Reston, Virginia, with occasional customer-site visits.

Requirements

Minimum of 6 years of relevant experience in AI/ML engineering, data science, machine learning, or a related technical discipline.
Bachelor's or master's degree in a relevant field, or equivalent professional experience.
Active TS/SCI clearance with CI polygraph.
Extensive experience leveraging open-source AI/ML models and ability to evaluate and justify the use of proprietary models when appropriate.
Strong hands-on experience designing, building, training, integrating, deploying, and maintaining AI/ML models and production applications.
Experience developing agentic AI systems, including AI agents, orchestration workflows, and automated data-processing capabilities.
Expert-level proficiency in at least two of Generative AI/LLMs, Natural Language Processing (NLP), Retrieval-Augmented Generation (RAG), or neural networks.
At least 6 years of experience with two or more of Python, R, Anaconda, NumPy, TensorFlow, Keras, Scikit-learn, or PostgreSQL.
At least 6 years of experience designing, implementing, and maintaining data architectures and services that support AI/ML solutions, including model optimization, evaluation, and maintenance through Agile user stories and DevSecOps CI/CD pipelines.
Expert-level experience designing, developing, and deploying AI/ML solutions in classified AWS cloud environments at Impact Level 6 (IL6) or higher.
Strong analytical skills, including assessing program and system performance, identifying manual processes, and developing algorithms or automation solutions to improve efficiency.
Strong experience designing, developing, deploying, and maintaining containerized AI/ML applications.
Ability to work primarily onsite across designated DC Metro locations, including Tysons Corner and Reston, Virginia, with occasional customer-site visits.

Responsibilities

Serve as a hands-on technical lead for an AI/ML engineering team, providing technical guidance, architectural direction, and AI implementation strategy.
Design, build, train, integrate, deploy, and maintain production-ready AI/ML models and applications in secure environments.
Apply machine learning techniques to support retrieval-augmented generation.
Present results to diverse audiences in presentation or report form.
Provide architectural leadership, technical support, and advisory services to ensure system technologies are integrated and meet appropriate security requirements.
Communicate technical findings, architectural recommendations, and project progress to technical and nontechnical stakeholders.