As a Solutions Architect, you’ll support customer engagements that focus on 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.

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:

• Work with the Senior Architect, and engage with 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, 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.

What you’ll need to succeed:

• Located: Indianapolis, IN metro area
• Secret Security clearance
• Intermediate experience building AI, ML, or data science applications
• 1+ years of experience in AI system design
• Foundational understanding of fine-tuning LLMs and evaluating them using real-world benchmarks (HumanEval, BigCodeBench, CodeXGlue).
• Familiarity with multi-agent orchestration, agent frameworks (LangChain, Google ADK), and prompt engineering.
• Familiar with model context protocol (MCP) to standardize how models interact with APIs and external data sources, including legacy code bases.
• Proficient in Python, API development, and secure system design.
• Interpersonal skills, shows ability to take technical direction and provide quick turn MVP examples.
• 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.

SALARY RANGE:  $78,000 - $115,000

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