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Senior AI Solutions Architect, Generative AI
- Reston, Virginia, United States
- Reston, Virginia, United States
À propos
This role is expected to operate as a senior technical lead for the COE's GenAI architecture and to grow into broader COE technical leadership responsibilities over the first 6–12 months. This role is Hybrid to our Reston, VA office and US Citizenship is required.
Key Outcomes
Architect and deploy GenAI components for lighthouse AI projects.
Stand up the COE's GenAI reference architecture (RAG, agent orchestration, model routing, evaluation, and guardrails) on Amentum's two‑cloud posture (Azure Commercial for COE, Azure Gov for customer‑mandated programs).
Evaluate and recommend GenAI tools, models, and platforms; lead vendor technical evaluation across the multi‑vendor RFI process.
Grow into broader COE technical leadership responsibilities — including spoke‑team technical mentorship and AI Advisory Council technical readiness — over the first 6–12 months.
Core Responsibilities
Design, develop, and deploy GenAI / LLM‑based solutions to production for initial lighthouses, with measurable execution criteria.
Build and prototype AI applications that support enterprise, mission, and customer‑facing use cases.
Work hands‑on with foundation models, agent frameworks, RAG architectures, fine‑tuning approaches, and evaluation harnesses.
Collaborate with the AI Solutions Architect — Programs & Delivery (peer role) on JANUS‑tracked delivery and Council package preparation.
Integrate GenAI solutions into enterprise systems, mission workflows, and the AI platform under construction.
Contribute to the COE's reusable assets library, technical patterns, and AI engineering best practices — including responsible AI, model security, and governance.
Lead technical evaluation of vendor capabilities through the multi‑vendor RFI and Forward Deployed Engineering engagements.
Mentor spoke‑team technical leads and operating‑group AI developers across the organization.
Knowledge, Skills and Abilities:
Senior technical judgment — ability to architect end‑to‑end AI systems with attention to performance, cost, security, and maintainability.
Track record of leading technical delivery in cross‑functional environments.
Strong communicator — able to explain technical tradeoffs to executive and business audiences.
Comfortable in ambiguity; able to set technical direction and bring others along.
Minimum Requirements
Typically 8+ years of progressive experience in AI development, machine learning engineering, or applied AI; 3+ years hands‑on with Generative AI / LLM systems with a Bachelor's degree in Computer Science, Engineering, Data Science, or related field. Master's or Ph.D. preferred.
Production experience deploying Generative AI / LLM applications, including RAG, agentic workflows, and tool‑use patterns.
Hands‑on AI/ML solution development across the full lifecycle — design, training/fine‑tuning, evaluation, deployment, and monitoring.
Knowledge of AI frameworks (PyTorch, LangChain, LlamaIndex, Semantic Kernel, or equivalents) and foundation‑model ecosystems (Azure OpenAI, AWS Bedrock, open‑source).
Experience with AI pipelines, vector databases, and data engineering for AI workloads.
Cloud‑native architecture experience on Azure (preferred), AWS, or GCP.
US Citizenship is required.
Preferred Qualifications
Experience deploying LLM‑based applications in regulated or government environments.
Familiarity with Azure AI Foundry, Azure OpenAI Service, AWS Bedrock, and SageMaker.
Background in responsible AI, model risk management, NIST AI RMF, or EU AI Act categorization.
Experience with multi‑vendor AI engagements, hyperscaler partner relationships, and Forward Deployed Engineering models.
Government or mission‑driven environment experience; familiarity with FedRAMP, IL5/IL6, and ATO processes.
Active Secret or TS clearance.
Work Environment Hybrid; high technical collaboration across the AI COE hub, operating‑group spokes, IT, and business teams.
Work Schedule Standard business hours with flexibility based on project demand; occasional travel to spoke sites and customer engagements.
Compensation Details $180k- $225K
The compensation range or hourly rate listed for this position is provided as a good‑faith estimate of what the company intends to offer for this role at the time this posting was issued. Actual compensation may vary based on factors such as job responsibilities, education, experience, skills, internal equity, market data, applicable collective bargaining agreements, and relevant laws.
Benefits Overview
Health, dental, and vision insurance
Paid time off and holidays
Retirement benefits (including 401(k) matching)
Educational reimbursement
Parental leave
Employee stock purchase plan
Tax‑saving options
Disability and life insurance
Pet insurance
Note: Benefits may vary based on employment type, location, and applicable agreements. Positions governed by a Collective Bargaining Agreement (CBA), the McNamara‑O'Hara Service Contract Act (SCA), or other employment contracts may include different provisions/benefits.
Original Posting: 07/02/2026 - Until Filled
Amentum is proud to be an Equal Opportunity Employer. Our hiring practices provide equal opportunity for employment without regard to race, sex, sexual orientation, pregnancy (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, ancestry, United States military or veteran status, color, religion, creed, marital or domestic partner status, medical condition, genetic information, national origin, citizenship status, low‑income status, or mental or physical disability so long as the essential functions of the job can be performed with or without reasonable accommodation, or any other protected category under federal, state, or local law. Learn more about your rights under Federal laws and supplemental language at Labor Laws Posters.
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Compétences linguistiques
- English
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