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 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 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 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 Studiobased agents into Assure workflows, translating interaction history and usage patterns into reusable, productiongrade AI solutions.

• Partner closely with engineering, platform, product, and operations teams to 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+ 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, 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 platforms that 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 languages for platform and systems engineering is a strong plus.

• Demonstrated ability to work crossfunctionally and 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 degree in 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

DXC Technology Company (DXC) is an Equal Opportunity employer. All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, pregnancy, veteran status, genetic information, citizenship status, or any other basis prohibited by law. View postings below .

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