Senior AI Architect​/Lead Engineer

ATI has been named "Best Places to Work in SC" from 2017 - 2025.

This is a full-time opportunity with benefits

ATI provides Medical, Dental and Vision Plan options

Flexible Spending Accounts, including health and dependent care accounts

403B Retirement Savings plan with a very competitive company contribution

Personal time-off (pre-loaded & accrued) plus 12 paid holiday-days

Life Insurance paid by ATI

Short-Term & Long-Term Disability Coverage paid by ATI

Employee Assistance Program

Tuition Reimbursement Program

ATI's standard business hours are Monday-Friday, between 8 AM - 5 PM.

ATI builds and manages collaborations that conducts research and development of new technologies to solve our nation’s most pressing challenges. Our collaborations are custom-built teams of organizations from industry and academia that develop novel technologies for the federal government. Traditionally, these processes are complicated and burdensome. That’s where ATI comes in. We simplify and streamline processes to make it all work.

When you work at ATI, you become a part of something larger than yourself. Our collective work – no matter what department or division you work in – ultimately enables the warfighter, saves lives, and diversifies the industrial base. At our core, ATI is a service organization. We are in service to others; it’s what we do, and it’s who we are.

The Senior AI Architect/Lead Engineer will serve as the organization's senior technical leader for AI, responsible for the AI capability stack, setting the standards that govern how AI solutions are built, and translating strategic priorities into a credible, phased delivery plan. This is a hands‑on role, as the AI Engineering lead, they will prototype and build solutions, evaluate tooling, and directly shape how AI is built and delivered.

This person must be as comfortable presenting architecture decisions to non‑technical leadership as they are working alongside engineers.

This role works in close partnership with the AI Transformation Lead to facilitate a clear handoff, and an agreed collaboration cadence between the technical and adoption tracks.

** This position offers a hybrid schedule (in‑office & remote/work from home) or an onsite schedule and flexible hours. Candidates will need to reside near Summerville, SC to ensure work site flexibility.**

• Provide guidance on architectural direction for the AI capability stack on Microsoft Azure, including data flow patterns, integration approach, and selection of appropriate AI services in partnership with technical leadership
• Work with Technical Leadership to make and document build vs. buy decisions, including evaluation of existing vendor relationships and third‑party AI capabilities
• Ensure compliance requirements, including FedRAMP, are identified early and designed in, engaging internal and vendor resources where deeper expertise is needed
• Provide guidance on AI standards covering solution design, testing, documentation, and handoff practices
• Evaluate the Ask Sage and Copilot deployments and advise on the role within the broader AI stack
• Advise on data architecture patterns appropriate for AI workloads, including retrieval‑augmented generation (RAG), document ingestion pipelines, and knowledge retrieval

• Build working prototypes of prioritized AI capabilities to validate feasibility and demonstrate technical direction
• Evaluate the current AI capabilities and recommend a plan to grow capabilities through training or augmentation
• Work with internal and external team members to determine the best delivery strategy
• Establish a working relationship with the AI Transformation Lead, including clear handoffs and an agreed collaboration rhythm

• Hands‑on experience building production LLM‑based applications, including prompt engineering, retrieval‑augmented generation (RAG), and document processing pipelines
• Experience with knowledge retrieval systems using vector search and semantic indexing
• Experience with intelligent document processing, including OCR, document classification, and structured data extraction from…