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 50000 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 Excellences (AI COE) Generative AI and large language model (LLM) architecture. The role translates Amentums 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 COEs GenAI architecture and to grow into broader COE technical leadership responsibilities over the first 612 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 COEs GenAI reference architecture (RAG agent orchestration model routing evaluation and guardrails) on Amentums 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 612 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 COEs 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 Bachelors degree in Computer Science Engineering Data Science or related field. Masters 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:

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-OHara Service Contract Act (SCA) or other employment contracts may include different provisions/benefits.

Original Posting:

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. 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 atLabor Laws Posters.