Principal Engineer - Agentic AI Platform Engineering & Performance

Key responsibilities include continuously improving the design, quality, and reuse of the solution and delivering technology enablers that improve development efficiencies for the solution. Job expectations include familiarity with at least one area of engineering, acting as a "go to" reference across the organization, and applying knowledge to improve technical competencies through recruitment and development activities.

Developer Experience (DevEx) provides enterprise technical standards and common technical services, platforms, and tools that are leveraged by delivery teams across all lines of business. Within the SDLC Software Delivery Lifecycle program, this role leads portfolio product delivery strategy and execution for enterprise software delivery capabilities, ensuring the right investments, operating model, governance, and prioritization are in place to improve how internal technical users build, test, and deliver software at scale.

Within DevEx we are seeking a highly accomplished Agentic AI Platform Engineering & Performance Principal Engineer to define and drive the architecture, engineering standards, and technical roadmap for AI capabilities embedded across the SDLC. This role will shape how AI is operationalized across developer workflows, enabling scalable, secure, and governed adoption of agentic AI capabilities across engineering teams.

This role requires deep technical leadership in agent orchestration, LLMOps pipelines, runtime governance, AI performance engineering, and developer tooling. The ideal candidate brings strong hands-on engineering depth, platform design expertise, and experience building reusable AI capabilities that are scalable, observable, cost-efficient, and performant.

This role leads engineering direction for AI-enabled delivery capabilities that improve how software is designed, built, tested, governed, and operated at scale. This role advances developer productivity, platform innovation, and enterprise consistency while reducing risk and improving quality through aligned architecture, governance, and automation.

It also defines how agentic AI systems operate efficiently at scale, ensuring performance, cost, and reliability are engineered as first-class concerns

- Develops the engineering approach for the entire program/portfolio solution and works with Architecture, to develop/analyze/deliver the implementation of technical enablers - Leads the planning, definition, and design of the complex features which span multiple teams and explore solution alternatives - Creates ideas on designing complex technology and solution development approaches - Leads the technical oversight for teams in solution development including design reviews and code within own domain - Defines the technology tool stack for the solution within ranged of internally approved and supported technologies - Explores state-of-the-art technologies to improve development efficiencies, quality of test/QA coverage, and release management - Leads and is responsible for the end-to-end test strategy/creation/adherence, and the integration between teams for a program/portfolio solution - Improve the experience for our developers, making it easier to deliver industry-leading solutions, while managing work efficiently and with the right controls - Advance our technology platforms through innovation - Reduce risk and improve quality across our technology portfolio by aligning to a single enterprise architecture strategy and delivering governance that enables consistency, integration and automation

- Bachelor's degree in Computer Science, Engineering, Information Systems, Applied Mathematics, or a related technical field

- Advanced degree in a technical discipline or equivalent record of distinguished technical leadership in AI platforms, developer tooling, or software delivery engineering