AI Visionary / Architect
REI Systems2 years ago
Sterling, VA, USAStaff+
Responsibilities
- Define enterprise AI vision, strategy, roadmap, and reference architecture aligned with customer missions and business priorities.
- Identify and evaluate AI, Generative AI, machine learning, agentic AI, and intelligent automation use cases.
- Design scalable AI architectures using LLMs, RAG, AI agents, APIs, data platforms, vector databases, and cloud-native services.
- Lead AI pilots, proofs of concept, prototypes, and enterprise-scale production implementations.
- Evaluate commercial, open-source, and cloud-native AI technologies based on mission, security, scalability, cost, and performance.
- Architect secure AI solutions across AWS, Azure, and other approved Federal cloud environments.
- Define approaches for model selection, hosting, prompt engineering, embeddings, grounding, orchestration, evaluation, and monitoring.
- Establish AI governance addressing security, privacy, explainability, transparency, model risk, bias, data protection, human oversight, and responsible AI.
- Collaborate with cybersecurity teams on prompt injection, data leakage, model manipulation, access control, and adversarial risks.
- Provide architectural guidance across discovery, design, implementation, testing, deployment, and optimization.
- Facilitate architecture workshops, AI discovery sessions, technical reviews, and executive-level discussions.
- Support proposal development, solutioning, technical demonstrations, white papers, and AI-related business development.
- Mentor technical teams and strengthen organizational AI engineering and architecture capabilities.
Requirements
- 12+ years of experience in software engineering, solution architecture, enterprise architecture, cloud architecture, data, or related technology disciplines.
- Significant hands-on or architecture-level experience with artificial intelligence, machine learning, Generative AI, or advanced analytics.
- Demonstrated experience designing enterprise AI solutions using LLMs, RAG architectures, AI agents, APIs, vector databases, and cloud AI services.
- Strong understanding of AI architecture, software architecture, data architecture, cloud computing, API integration, and cybersecurity.
- Experience with AWS and/or Microsoft Azure AI and cloud services.
- Experience translating organizational objectives into technical strategies and enterprise architecture.
- Strong executive communication, presentation, facilitation, and technical storytelling skills.
- Experience leading architecture discussions involving multiple technical disciplines and stakeholder groups.
- Ability to obtain and maintain a Federal Public Trust or other required government clearance.
- Bachelor’s degree in Information Technology, Cybersecurity, Operations Management, or a related field.
- Preferred experience supporting Federal Government or highly regulated environments.
- Preferred experience with AWS Bedrock, Amazon SageMaker, Azure OpenAI, Azure AI Foundry, Databricks, Snowflake, LangChain, LangGraph, Semantic Kernel, or LlamaIndex.
- Familiarity with MLOps, LLMOps, DevSecOps, CI/CD, containerization, Kubernetes, infrastructure as code, and automated AI evaluation.
- Knowledge of the NIST AI Risk Management Framework, Federal AI governance requirements, and responsible AI practices.
- Cloud, architecture, security, data, or AI-related professional certifications and experience supporting Federal civilian agencies are preferred.
Benefits
- Hybrid work arrangement requiring two days per week or as needed in the REI Sterling Office.
- Professional development opportunities and meaningful projects.
- Flexibility to spend time with family and friends.
Tech Stack
Categories
Solutions Engineering