Sr. AI/ML Engineer I (6438)

As Sr. AI/ML Engineer I, you’ll MetroStar is seeking an AI / ML Engineer to support a high-visibility, enterprise AI-enabled financial compliance initiative for the Department of War.  This mission-critical program modernizes financial system compliance and audit workflows across more than 180 systems. You will design, develop, and deploy AI models that power automated compliance translation, anomaly detection, semantic search, and executive-level decision support.
**This is a remote role with preference for candidates local to the DMV area who can attend in-person meetings as required.

We know that you can’t have great technology services without amazing people. 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!

What you’ll do:

• Design and implement machine learning models supporting financial compliance validation and data standardization
• Develop AI-assisted translation engines that map legacy financial artifacts to enterprise standards
• Build semantic retrieval and embedding pipelines to support explainable compliance workflows
• Integrate large language models into secure, production-grade environments
• Develop model evaluation frameworks and continuously improve performance, trust, and explainability
• Partner with Data Engineers, DevSecOps, Full Stack Engineers, and Financial SMEs to deliver scalable AI-enabled capabilities

What you’ll need to succeed:

• Active Secret clearance required
• Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or related field
• Minimum 5 years of AI/ML engineering experience
• Experience supporting DoD or regulated federal environments preferred    
• Experience designing and deploying machine learning models in regulated environments
• Strong proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or similar
• Experience building and optimizing Retrieval-Augmented Generation (RAG) workflows
• Familiarity with embedding models, vector databases, and semantic search architectures
• Experience with prompt engineering, structured output parsing, and model evaluation frameworks
• Understanding of model governance, bias mitigation, and explainability in compliance-driven contexts
• Experience integrating AI models into secure, containerized production environments
  
  

SALARY: $147,000 - 156,000

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