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 worlds 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

AI Lead Engineer

Responsibilities:

• Understand the define technical vision roadmap and architecturefor Generative AI and Agentic AI capabilities within the Assure Build Platform ensuring scalability security and enterprise readiness.

• Lead the design and implementationof core GenAI platform components including:

  • Agentic AI and multiagent orchestration

  • RetrievalAugmented Generation (RAG) pipelines

  • LLM model selection configuration and prompt tooling

  • Model finetuning and customization pipelines

• Architect and govern AI agents capable of multistep reasoning tool usage memory management and workflow orchestration ensuring reliability traceability and controlled execution.

• Drive LLM inference optimizationinitiatives 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 Studiobased agentsinto Assure workflows translating interaction history and usage patterns into reusable productiongrade AI solutions.

• Partner closely with engineering platform product and operations teamsto embed GenAI capabilities into highimpact 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 platformfirst design.

• Promote a culture of innovation experimentation and learning while maintaining strong governance operational excellence and longterm platform sustainability.

Minimum Qualifications

• 8 yearsof professional software development experience building scalable distributed and maintainable systems.

• 3 yearsof 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 handson expertise in Large Language Models (LLMs) including:

  • Inferencing and runtime behavior

  • Embedding generation

  • Knowledge integration using RetrievalAugmented Generation (RAG)

• Strong demonstrated experience with Agentic AI systems including:

  • Design and implementation of singleagent and multiagent architectures

  • Multistep reasoning and planning

  • Toolcalling and workflow orchestration

  • Agent memory state management and traceability

  • Humanintheloop and controlled execution patterns

• Proven experience designing and delivering enterprisegrade GenAI platformsthat support:

  • Agent orchestration and lifecycle management

  • Prompt engineering versioning and governance

  • RAG integration and evaluation

  • Model selection configuration and deployment

• Experience finetuning adapting or customizing foundation models to improve taskspecific 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 languagesfor platform and systems engineering is a strong plus.

• Demonstrated ability to work crossfunctionallyand influence product and platform direction through technical leadership and usercentered thinking.

• Strong passion for operational excellence observability automation and building secure developerfriendly AI and Agentic AI infrastructure at scale.

• Bachelors Masters or PhD degreein Computer Science Engineering or a related discipline or equivalent practical experience.

At DXC Technology we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing productivity individual work styles and life circumstances. Were committed to fostering an inclusive environment where everyone can thrive.

If you are an applicant from the United States Guam or Puerto Rico

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