Job description

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 Application Deadline: 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 and benefits . Plus, check out our accolades. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment based on merit and without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, status as a protected veteran, or any other status protected by applicable federal, state, local, or international law. What we want you to know: In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. Not ready to apply now? Sign up to join our newsletter here .

Requirements

Must-haves

If you think you can see yourself delivering our mission and pursuing our goals with us, then check out the job description below!
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.
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.
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
Performance-based bonuses
Company-paid training and/or certifications
Referral bonuses

Nice-to-haves

None flagged.

Application prep

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Keywords to mirror

aimlpythonapi

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Pto

Paid Time Off

Parental Leave

Wellness

Professional Development