AI Visionary​/Architect

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  Employees voted REI Systems a Washington Post Top Workplace in 2015, 2016, 2018, 2020, 2021, 2022, 2023, 2024, and 2025!

Position Overview:

Looking for your next challenge? Enjoy solving complex business problems with today’s latest technologies? REI Systems (REI) is looking for innovative Enterprise Solutions Architect to craft compelling and compliant cloud-based solutions for REI's clients. Working with REI’s FDA Account Management and REI’s Leadership, successful candidates will support REI's growth strategy, application modernization endeavors, while ensuring solution excellence for our customers. The position enables REI to provide best-in-class thought-leadership and support to our Accounts.

It also contributes toward REI's long-term strategy to organically acquire and retain customers and talent while expanding and deepening our portfolio of offerings.

REI Systems is seeking an experienced AI Visionary / Architect to provide strategic and technical leadership in the adoption, architecture, and implementation of Artificial Intelligence across complex enterprise and Federal environments. 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.

Responsibilities

• Define and communicate an enterprise AI vision, strategy, roadmap, and reference architecture aligned with customer mission and business priorities.
• 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.
• Provide technical leadership for AI pilots, proofs of concept, prototypes, and enterprise-scale production implementations.
• 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, transparency, model risk, bias, data protection, human oversight, and responsible AI.
• Ensure AI architectures comply with applicable Federal security, privacy, accessibility, records management, and responsible AI requirements.
• Collaborate with cybersecurity teams to address AI-specific risks including prompt injection, data leakage, model manipulation, access control, and adversarial threats.
• Define AI solution evaluation frameworks including accuracy, relevance, hallucination reduction, performance, scalability, security, and mission effectiveness.
• Provide architectural guidance throughout the full solution lifecycle, from discovery and design through implementation, testing, deployment, and optimization.
• Work closely with Enterprise Architects, Chief Architects, Solution Architects, Product Owners, engineers, data scientists, and program…