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.
What you'll do:• 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
What you'll need to succeed:• 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
SALARY RANGE: $132,000 - $175,000
The salary range for this position is determined based on qualifications, skills, and relevant experience. The final salary offered will be determined based on several factors including:
- The candidate's professional background and relevant work experience
- The specific responsibilities of the role and organizational needs
- Internal equity and alignment with current team compensation
- This role is also eligible for additional compensation, subject to the terms and policies of MetroStar, which may include:
- Performance-based bonuses
- Company-paid training and/or certifications
- Referral bonuses
To apply for this position, please submit your resume via the form below or through our careers page: https://www.metrostar.com/jobs/
Application Deadline: Applications will be accepted on a rolling basis until the position is filled; candidates are encouraged to apply as early as possible for full consideration.
Additional Compensation: This role may also be eligible for bonuses and/or additional incentives based on individual and company performance.
Benefits: All full-time employees are eligible to participate in our benefits programs:
- 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
