Lead AI Architect/Strategist

What You’ll Do

• Define and execute AI architecture strategies, technical roadmaps, and modernization approaches aligned with organizational goals.
• Design scalable AI platforms and solutions leveraging Generative AI, LLMs, RAG, AI agents, machine learning, and automation capabilities.
• Architect intelligent AI systems that integrate models, data platforms, enterprise applications, and APIs.
• Develop architecture patterns and best practices for: LLM-based applications, Agentic AI workflows, AI copilots and automation solutions, knowledge retrieval systems, data-driven decision support.
• Lead technical evaluations of emerging AI technologies, frameworks, and platforms.
• Guide teams in implementing AI solutions from proof-of-concept through production deployment.
• Establish AI governance practices supporting security, compliance, responsible AI, scalability, and operational excellence.
• Collaborate with software engineers, data scientists, product teams, and enterprise architects to deliver AI-enabled solutions.
• Provide technical leadership, mentorship, and guidance on AI architecture patterns and engineering best practices.
• Communicate complex AI concepts and recommendations to technical teams, business stakeholders, and executive leadership.
• Support innovation initiatives through prototypes, technical demonstrations, and AI transformation strategies.

What We’re Looking For

• Bachelor’s degree in Computer Science, Information Technology, Engineering, Data Science, or related technical field.
• 10+ years of experience in software engineering, enterprise architecture, solution architecture, data architecture, or technology transformation.
• 5+ years of experience designing and implementing AI/ML solutions, AI platforms, or intelligent automation solutions.
• Strong experience architecting enterprise-scale technology solutions and distributed systems.
• Proven experience with Generative AI, Large Language Models (LLMs), and AI application architectures.
• Hands-on experience with AI concepts and technologies including Retrieval-Augmented Generation (RAG), AI Agents / Agentic AI, prompt engineering, vector databases and embeddings, model orchestration, AI governance and lifecycle management.
• Experience with cloud AI platforms such as: Azure OpenAI / Azure AI Services, AWS Bedrock, Google Vertex AI.
• Experience with modern AI frameworks and tools such as: Lang Chain, Lang Graph, Llama Index, Semantic Kernel, OpenAI frameworks.
• Strong programming experience with Python or other modern programming languages.
• Experience with data architecture, APIs, data pipelines, and enterprise system integration.
• Understanding of MLOps/LLMOps practices, including monitoring, evaluation, deployment, and governance.
• Ability to communicate complex technical concepts effectively with both technical and non-technical audiences.

Nice To Have

• Experience supporting Federal Government, healthcare, or other highly regulated environments.
• Experience designing secure AI solutions within enterprise environments.
• Experience with Kubernetes, containerized applications, cloud-native architectures, and modern DevOps practices.
• Experience with enterprise architecture frameworks such as TOGAF.
• Experience leading AI transformation initiatives from strategy through implementation.