Senior AI Solutions Architect, Generative AI

Amentum is a global leader in advanced engineering and innovative technology solutions, trusted by the United States and its allies to address their most significant and complex challenges in science, security and sustainability. Our people apply undaunted curiosity, relentless ambition and boundless imagination to challenge convention and drive progress. Our commitments are underpinned by the belief that safety, collaboration and well-being are integral to success. Headquartered in Chantilly, Virginia, we have approximately 50,000 employees in more than 70 countries across all 7 continents. The Senior AI Solutions Architect — Generative AI is the senior technical leader for the AI Center of Excellence's (AI COE) Generative AI and large language model (LLM) architecture. The role translates Amentum's AI strategy into working capabilities — designing, prototyping, and deploying GenAI solutions that drive waves of pilots projects (“lighthouse”) to delivery and seed reusable patterns. 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: Our health and welfare benefits are designed to support you and your priorities. Offerings include: 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 anticipates this job requisition will remain open for at least three days, with a closing date no earlier than three days after the original posting. This timeline may change based on business needs. Amentum is proud to be an Equal Opportunity Employer. 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