2 months ago
Remote, United StatesSenior
Base Salary
$180k - $225k/yr
Responsibilities
- Architect, develop, and deploy Generative AI and LLM-based solutions for initial lighthouse projects and production use.
- Establish the AI COE reference architecture for RAG, agent orchestration, model routing, evaluation, and guardrails across Azure Commercial and Azure Government.
- Build AI applications and integrate them into enterprise systems, mission workflows, and the AI platform.
- Work hands-on with foundation models, agent frameworks, RAG architectures, fine-tuning approaches, evaluation harnesses, AI pipelines, vector databases, and monitoring.
- Lead technical evaluation of vendors through the multi-vendor RFI and Forward Deployed Engineering engagements.
- Develop reusable technical patterns, assets, AI engineering practices, and responsible AI, security, and governance approaches.
- Mentor spoke-team technical leads and operating-group AI developers and grow into broader AI COE technical leadership responsibilities.
- Collaborate on JANUS-tracked delivery and AI Advisory Council package preparation.
Requirements
- Typically 8+ years of progressive experience in AI development, machine learning engineering, or applied AI, including 3+ years of hands-on Generative AI or LLM experience.
- Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field; a Master’s degree or Ph.D. is preferred.
- Production experience deploying Generative AI or LLM applications, including RAG, agentic workflows, and tool-use patterns.
- Hands-on AI/ML solution development across design, training or fine-tuning, evaluation, deployment, and monitoring.
- Knowledge of PyTorch, LangChain, LlamaIndex, Semantic Kernel, or equivalent AI frameworks, plus foundation-model ecosystems such as Azure OpenAI, AWS Bedrock, and open-source models.
- Experience with cloud-native architecture on Azure, AWS, or GCP and with AI pipelines, vector databases, and data engineering for AI workloads.
- Experience in regulated or government environments, responsible AI, model risk management, NIST AI RMF, EU AI Act categorization, FedRAMP, IL5/IL6, or ATO processes is preferred.
- Experience with multi-vendor AI engagements, hyperscaler partnerships, or Forward Deployed Engineering models is preferred.
- US citizenship is required; an active Secret or TS clearance is preferred.
- Strong technical judgment, communication, cross-functional delivery leadership, and ability to set technical direction in ambiguous environments are required.
Benefits
- Hybrid work arrangement based at the Reston, Virginia office, with standard business hours, schedule flexibility, and occasional travel to spoke sites and customer engagements.
- 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; benefits may vary by employment type, location, and applicable agreements.
Tech Stack
Categories
AI ApplicationsSolutions Engineering
About Amentum
Amentum provides engineering, operations and maintenance, logistics, and mission support services to U.S. federal agencies and allied governments, including defense and energy programs. Its business centers on large, long-term government contracts spanning defense, space, nuclear cleanup, and infrastructure, with program management and technical services at the core. Headquartered in Chantilly, Virginia, it was formed in 2020 from the spinoff of AECOM’s Management Services division.