Solutions Architect (6812)

MetroStar • Indianapolis, IN

24d • Onsite

About The Position

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. 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.

Requirements

• 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.

Responsibilities

• 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.

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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed