AI Evangelist

REI Systems; United States; On-site; USD 180,000 - 260,000; Full time

Job summary

REI Systems is seeking an experienced AI Evangelist & Chief Architect to lead strategic and technical AI initiatives across complex federal environments, with a dedicated focus on the FDA account. You will shape the AI vision, identify high-value opportunities, and guide secure, scalable, and mission-aligned AI solutions.

The role requires deep expertise in Generative AI, ML, cloud architecture, and enterprise integration, with the ability to engage executives and program teams to move from

Qualifications

• Experience leading AI strategy in federal/government environments.
• Proven ability to translate AI strategy into scalable architectures.
• Strong collaboration with C-suite and program leadership.

Responsibilities

• Serve as the face of REI's AI practice at FDA and build trusted relationships with FDA leadership.
• Define and communicate an enterprise AI vision, strategy, and reference architecture.
• Design scalable AI architectures using Generative AI, LLMs, RAG, AI agents and cloud services.
• Establish reusable AI architecture patterns and governance practices.
• Provide hands-on technical leadership for AI pilots and production deployments within FDA IT portfolios.

Skills

Generative AI

Machine Learning

Cloud Architecture

Enterprise Integration

Executive Engagement

AI Governance

Leadership

Software Architecture

Tools

AWS

Azure

Job description

Overview

REI Systems' mission is to deliver reliable, innovative technology solutions that advance Federal clients' missions and exceed their expectations. Our technologists and consultants are passionate about solving complex challenges that impact millions of lives. We take a Mindful Modernization® approach in delivering our services, including application modernization, grants management, case management systems, government data analytics, and advisory services. This approach, the REI Way, ensures mission impact by aligning our clients' strategic objectives with measurable outcomes through people, processes, and technology. We offer the same commitment to our employees by providing professional development, meaningful projects, and flexibility to spend time with family and friends. We believe employees are at their best when fulfilled in both their professional careers and their personal lives. Learn more at www.REIsystems.com. Employees voted REI Systems a Washington Post Top Workplace in 2015, 2016, 2018, 2020, 2021, 2022, 2023, 2024, and 2025!

Position Overview

REI Systems is seeking an experienced AI Evangelist & Chief Architect to provide strategic and technical leadership in the adoption, architecture, and implementation of Artificial Intelligence across complex enterprise and Federal environments , with a dedicated focus on REI's Food and Drug Administration (FDA) account . This individual will help define the AI vision, identify high-value opportunities, establish reusable AI architecture patterns, and guide the delivery of secure, scalable, responsible, and mission-aligned AI solutions.

The ideal candidate combines deep technical expertise in Generative AI, machine learning, intelligent automation, cloud architecture, and enterprise integration with the ability to engage executives, business leaders, program teams, and technical stakeholders. This role will help customers move from AI experimentation to sustainable enterprise adoption , while personally serving as the face of REI's AI capability across the FDA account .

This is a dual-mandate role. On the business side, the individual will collaborate with REI's Business Development leads to build trusted relationships with FDA program and IT leadership, and help shape and win new AI-enabled opportunities. On the technical side, the individual will operate as a hands‑on Chief Architect personally designing, guiding, and quality‑reviewing the AI architecture delivered across the SIRCE and SCAIL programs while mentoring the technical and AI architects who deliver that work day to day.

Responsibilities

• Serve as the face of REI's AI practice at FDA - walking alongside REI's Business Development (BD) leads on the FDA campus and building trusted relationships with FDA program, IT, and mission leadership.
• Represent REI in CIO-level briefings and forums, and partner with BD and capture teams to identify, shape, and win new AI-enabled opportunities across the FDA and other related Federal Civilian Agencies.
• Define and communicate an enterprise AI vision, strategy, roadmap, and reference architecture aligned with customer mission and business priorities , with primary ownership of the AI vision and roadmap for REI's presence at FDA.
• Identify and evaluate high-value AI, Generative AI, machine learning, agentic AI, and intelligent automation use cases.
• Design scalable AI architectures incorporating Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, machine learning, APIs, data platforms, and cloud‑native services.
• Establish reusable AI architecture patterns, frameworks, accelerators, and implementation standards.
• Champion and apply REI's AI platforms as the governed foundation for AI solutions delivered within the FDA account, ensuring alignment with REI's broader AI product strategy.
• Provide hands‑on technical leadership for AI pilots, proofs of concept, prototypes, and enterprise‑scale production implementations , personally architecting and reviewing production AI components within FDA's IT portfolio powering inspections, imports, recalls, compliance, and enforcement.
• Evaluate commercial, open‑source, and cloud‑native AI technologies and recommend appropriate solutions based on mission, security, scalability, cost, and performance requirements.
• Architect secure AI solutions across AWS, Azure, and/or other approved Federal cloud environments.
• Define approaches for model selection, model hosting, prompt engineering, embeddings, vector databases, grounding, orchestration, evaluation, and monitoring.
• Develop strategies for enterprise AI agents and multi‑agent systems that securely integrate with organizational applications, data, APIs, and workflows.
• Partner with data engineering and analytics teams to ensure AI solutions have access to trusted, governed, and high-quality enterprise data.
• Establish AI governance practices addressing security, privacy, explainability, transparen