AI Architect

Lead AI Architect/Strategist

Location: United States - Remote
Clearance: Ability to obtain and maintain a Public Trust

LTS is seeking a Lead AI Architect / Strategist to define and lead the architecture, strategy, and implementation of next-generation AI solutions. This role will drive enterprise AI transformation and adoption by enabling modernization workstreams that are focused on scalable AI platforms. This position will align stakeholders and delivery teams by designing Generative AI powered capabilities, guiding solutions that leverage Large Language Models (LLMs), defining Retrieval-Augmented Generation (RAG) pipelines, producing Agentic AI offerings and architecture, and delivering capabilities for advanced analytics and related solutions.

The ideal candidate is a strategic technology leader with deep expertise in AI architecture and its role in Enterprise Architecture. This leader is an expert in cloud platforms, enterprise systems, and data transformation who can bridge business objectives with innovative technical solutions. This individual will also work across engineering, data, product, cybersecurity, and leadership teams to establish AI roadmaps, architecture standards, and secure AI solutions that deliver measurable mission and business value.

What You’ll Do

• Implement and manage the architecture definition and realization activity using formal delivery and lifecycle methods.
• Collaborate closely with stakeholders to develop a deep and thorough understanding of the client enterprise and establish guidance and governance for AI build and delivery cycles.
• 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, and data-driven decision support.
• Design and evaluate RAG pipeline architectures, including data ingestion, embeddings, vector search, retrieval strategies, and 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, policies and compliance, responsible AI, scalability, observability and operational excellence.