LTS - Lead AI Architect/Strategist
Requirements
• 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. • 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.
Responsibilities
• 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 • Design and evaluate RAG architectures, including data ingestion, embeddings, vector search, retrieval strategies, and model orchestration. • 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.
Benefits
• The Opportunity to support high-visibility federal missions • A culture that values innovation, growth, and collaboration • Access to cutting-edge tools and technologies • Comprehensive benefits for you and your family • A career path that rewards ambition and performance • If you’re ready to push boundaries, sharpen your skills, and join a team that is passionate about building what’s next, we’d love to meet you. Apply today and let’s build a future together!
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