Solutions Architect (6812)

MetroStar • Indianapolis, IN

7d • $78,000 - $115,000

About The Position

The Solutions Architect supports customer engagements focused on secure, scalable, cloud-enabled architectures that modernize legacy Marine Corps systems and enable AI-assisted code conversion. The role partners with customers, engineers, and stakeholders to translate mission requirements into practical technical solutions, select appropriate frameworks and platforms, and guide implementation across AI/ML, data, cloud, DevSecOps, and legacy modernization efforts. The position works with the Senior Architect and communicates architecture decisions, tradeoffs, risks, and implementation options to technical and non-technical stakeholders.

Requirements

• Located in the Indianapolis, Indiana metropolitan area.
• Secret security clearance.
• Intermediate experience building AI, ML, or data science applications.
• At least 1 year of experience in AI system design.
• Foundational understanding of fine-tuning LLMs and evaluating them using real-world benchmarks such as HumanEval, BigCodeBench, and CodeXGlue.
• Familiarity with multi-agent orchestration, agent frameworks such as LangChain and Google ADK, and prompt engineering.
• Familiarity with Model Context Protocol (MCP) for standardizing model interactions with APIs and external data sources, including legacy code bases.
• Proficiency in Python, API development, and secure system design.
• Interpersonal skills, with the ability to take technical direction and provide quick-turn MVP examples.

Responsibilities

• Work with the Senior Architect and engage with customers and internal teams to explain architecture decisions, tradeoffs, risks, and implementation options to 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 such as 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, including ASTs and 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 and holidays.
• Parental leave and dependent care.
• Flexible work arrangements.
• Professional development opportunities.
• Employee assistance and wellness programs.
• Performance-based bonuses and other possible additional incentives.
• Company-paid training and/or certifications.
• Referral bonuses.

What This Job Offers

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