AI Lead Engineer

Job Description: DXC Technology (NYSE: DXC) helps global companies run their mission critical systems and operations while modernizing IT, optimizing data architectures, and ensuring security and scalability across public, private and hybrid clouds. The world’s largest companies and public sector organizations trust DXC to deploy services across the Enterprise Technology Stack to drive new levels of performance, competitiveness, and customer experience. Learn more about how we deliver excellence for our customers and colleagues at DXC.com AI Lead Engineer Responsibilities: Understand the define technical vision, roadmap, and architecture for Generative AI and Agentic AI capabilities within the Assure Build Platform, ensuring scalability, security, and enterprise readiness. Lead the design and implementation of core GenAI platform components, including: Agentic AI and multi‑agent orchestration Retrieval‑Augmented Generation (RAG) pipelines LLM model selection, configuration, and prompt tooling Model fine‑tuning and customization pipelines Architect and govern AI agents capable of multi‑step reasoning, tool usage, memory management, and workflow orchestration, ensuring reliability, traceability, and controlled execution. Drive LLM inference optimization initiatives, including: Prompt engineering and prompt tuning Response and retrieval caching strategies Latency red [... source excerpt omitted ...] governance across multiple model families Lead integration of Copilot Studio–based agents into Assure workflows, translating interaction history and usage patterns into reusable, production‑grade AI solutions. Partner closely with engineering, platform, product, and operations teams to embed GenAI capabilities into high‑impact Assure workflows such as migration acceleration, testing automation, performance analysis, and operational intelligence. Establish and enforce best practices for GenAI engineering, including secure prompt handling, evaluation frameworks, monitoring, logging, and responsible AI principles. Mentor and guide senior and junior engineers, cultivating deep tech [... source excerpt omitted ...] sign. Promote a culture of innovation, experimentation, and learning, while maintaining strong governance, operational excellence, and long‑term platform sustainability. Minimum Qualifications 8+ years of professional software development experience building scalable, distributed, and maintainable systems. 3+ years of experience in a technical leadership role, guiding teams through complex architectural and design decisions and setting high standards for performance, reliability, and code quality. Deep, hands‑on expertise in Large Language Models (LLMs), including: Inferencing and runtime behavior Embedding generation Knowledge integration using Retrieval‑Augmented Generation (