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Solutions Architect

Job in Indianapolis, Marion County, Indiana, 46201, USA
Listing for: MetroStar
Full Time position
Listed on 2026-08-31
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 78000 - 115000 USD Yearly USD 78000.00 115000.00 YEAR
Job Description & How to Apply Below
Position: Solutions Architect (6812)

Solutions Architect

Indianapolis, IN

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, Dev Sec Ops , and legacy modernization efforts.

We know that you can't have great technology services without amazing people. At Metro Star, 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 Dev Sec Ops  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 Lang Chain and Llama Index 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 (Human Eval, Big Code Bench , CodeXGlue).
  • Familiarity with multi-agent orchestration, agent frameworks (Lang Chain, 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.

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 Metro Star, 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.

Final date to receive applications:
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

Like we said, we are big fans of our people. That's why we offer a generous benefits package, professional growth, and valuable time to recharge. Learn more about our company culture code…

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