AI Lead Engineer

DXC Technology • Nashville, TN

6d

About The Position

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 reduction and throughput optimization Cost 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 technical expertise in GenAI, agentic systems, and platform‑first design. Promote a culture of innovation, experimentation, and learning, while maintaining strong governance, operational excellence, and long‑term platform sustainability.

Requirements

• 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 (RAG)
• Strong, demonstrated experience with Agentic AI systems, including: Design and implementation of single‑agent and multi‑agent architectures Multi‑step reasoning and planning Tool‑calling and workflow orchestration Agent memory, state management, and traceability Human‑in‑the-loop and controlled execution patterns
• Proven experience designing and delivering enterprise‑grade GenAI platforms that support: Agent orchestration and lifecycle management Prompt engineering, versioning, and governance RAG integration and evaluation Model selection, configuration, and deployment
• Experience fine‑tuning, adapting, or customizing foundation models to improve task-specific performance and domain alignment.
• Advanced knowledge of LLM and Agent inference optimization techniques, including prompt tuning, caching strategies, quantization, and latency reduction across different model families.
• Strong programming skills in Python (mandatory); experience with Java or equivalent languages for platform and systems engineering is a strong plus.
• Demonstrated ability to work cross‑functionally and influence product and platform direction through technical leadership and user-centered thinking.
• Strong passion for operational excellence, observability, automation, and building secure, developer‑friendly AI and Agentic AI infrastructure at scale.
• Bachelor’s, Master’s, or PhD degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience.

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 reduction and throughput optimization Cost 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 technical expertise in GenAI, agentic systems, and platform‑first design.
• Promote a culture of innovation, experimentation, and learning, while maintaining strong governance, operational excellence, and long‑term platform sustainability.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level