Senior AI Solutions Architect, Generative AI

About the role

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. This role translates Amentum's AI strategy into working capabilities—designing, prototyping, and deploying GenAI solutions that drive waves of pilot projects ("lighthouse") to delivery and seed reusable patterns.

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.

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.
• Minimum 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.

Qualifications

• 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.

Benefits

• Health, dental, and vision insurance
• Paid time off and holidays
• Retail benefits (including 401(k) matching)
• Retirement benefits
• Education reimbursement
• Parental leave
• Employee stock purchase plan
• Tax-saving options
• Disability and life insurance
• Pet insurance