• Provide Thought leadership in the future opportunities in AI and agentic-enabled tools, capabilities, and challenges • Serve as the architectural lead for AI- and agentic-enabled tooling, establishing patterns, reference implementations, and best practices. • Design scalable, secure, and resilient software systems that integrate LLMs, multi-agent workflows, code intelligence, and automation. • Own and drive the technical roadmap for next-generation software acceleration tools—including IDE extensions, code-analysis agents, refactoring engines, and developer-assistive AI. • Lead architecture reviews, evaluate new technologies, and set engineering standards for AI safety, quality, reliability, and observability. • Build high-quality software with modern languages and frameworks (e.g., Python, TypeScript, Go, Java). • Develop pipelines and services that enable AI reasoning, code analysis, static/dynamic analysis, and automated transformation of legacy systems. • Prototype early concepts rapidly and transition successful prototypes into robust, production systems. • Integrate AI/ML models (commercial, open-source, or custom) into enterprise environments and developer workflows. • Design and build agentic orchestration, tool-use interfaces, embeddings systems, context windows, and retrieval-augmented workflows. • Implement “human-in-the-loop” safety and review patterns. • Develop mechanisms for grounding, guardrailing, and evaluating AI performance and correctness. • Leverage AI to analyze, modernize, and refactor large, complex codebases (e.g., Java, .NET, COBOL, C++). • Partner with product, UX, and platform teams to define features, user journeys, and developer experience goals. • Act as a technical mentor to senior and mid-level engineers; cultivate a culture of excellence and continuous learning. • Collaborate closely with research, data, and cybersecurity teams to ensure solutions are safe, secure, and aligned with mission needs. • Represent the engineering team in internal and external forums, contributing to thought leadership in AI and software engineering modernization.