Sr. AI Engineer I (6811)
About The Position
As Sr. AI Engineer I, you’ll design secure, scalable, cloud-enabled architectures that modernize legacy Marine Corps systems and enable AI-assisted code conversion. This role partners closely with customers, engineers, and stakeholders to translate mission requirements into achievable technical solutions, select appropriate frameworks and platforms, and guide implementation across AI/ML, data, cloud, DevSecOps, and legacy modernization efforts. At MetroStar, we are obsessed with our people and have led a two-decade legacy of building the best and brightest teams. Because we know our future relies on our deep understanding and relentless focus on our people, we live by our mission: A passion for our people. Value for our customers. If you think you can see yourself delivering our mission and pursuing our goals with us, then check out the job description below!
Requirements
- 5+ years overall experience building AI, ML, or data science applications
- 2+ years of experience in AI system design
- Strong grasp of model context protocol (MCP) to standardize how models interact with APIs and external data sources, including legacy code bases.
- Strong proficiency in Java for implementing machine learning algorithms, data processing pipelines, or integrating AI components into production systems.
- Excellent proficiency in Python, API development, and secure system design.
- An active Secret Security clearance
- Department of War Databricks
Responsibilities
- Serve as a technical advisor to customers and internal teams, explaining architecture decisions, tradeoffs, risks, and implementation options to both technical and non-technical stakeholders.
- Recommend cloud, data, AI/ML, and DevSecOps patterns that align with government security and operational requirements.
- Identify technical risks, dependencies, and constraints, and develop practical mitigation strategies.
- Build and update hybrid deterministic-agentic AI pipelines using frameworks like LangChain and LlamaIndex to orchestrate modular, multi-step workflows.
- Fine-tune large language models for instruction-following, code synthesis, and domain-specific adaptation.
- Integrate code-as-data paradigms (ASTs, control/data flow graphs) to improve model explainability and trust.
- Create scalable, secure, and efficient AI architectures, selecting appropriate frameworks, algorithms, and cloud platform.
Benefits
- Health, dental, and vision insurance
- 401(k) retirement plan with company match
- Paid time off (PTO) and holidays
- Parental Leave and dependent care
- Flexible work arrangements
- Professional development opportunities
- Employee assistance and wellness programs
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
