Principal Engineer - Agentic AI Platform Engineering & Performance

Agentic AI Platform Engineering & Performance Principal Engineer

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

• Develop the engineering approach for the entire program/portfolio solution and work with Architecture to develop, analyze, and deliver the implementation of technical enablers.
• Lead the planning, definition, and design of complex features that span multiple teams and explore solution alternatives.
• Create ideas on designing complex technology and solution development approaches.
• Lead the technical oversight for teams in solution development including design reviews and code within own domain.
• Define the technology tool stack for the solution within a range of internally approved and supported technologies.
• Explore state‑of‑the‑art technologies to improve development efficiencies, quality of test/QA coverage, and release management.
• Lead and be 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.

• 15+ years of engineering experience with deep technical leadership in enterprise platforms, developer tooling, or AI‑enabled engineering systems.
• Demonstrated ownership of architecture, standards, and engineering direction for shared platforms across multiple lines of business.
• Experience operating in highly regulated environments with strong SDLC, risk, and audit requirements.
• Ability to influence senior technology leaders and stakeholders through clear technical strategy and engineering standards.

• Deep expertise in enterprise AI platforms, including agentic architectures, orchestration frameworks, and reusable service patterns
  .
• Strong command of LLMOps pipelines
  , including prompt and model versioning, evaluation frameworks, testing automation, and release lifecycle management.
• Proven ability to establish runtime governance and performance optimization
  , including:
  • Policy enforcement, observability, resiliency, and safe execution controls.
  • Latency optimization, token efficiency, and cost‑aware execution of AI workflows.
  • Intelligent orchestration strategies balancing quality, cost, and responsiveness.
• Experience building AI developer tooling integrated with SDLC workflows
  , including assistants, test generation, and evaluation harnesses.
• Hands‑on knowledge of secure integration patterns across CI/CD, source control, and enterprise developer platforms.

• Deep expertise in performance engineering of LLM and agentic systems
  , including latency profiling, throughput optimization, and scalable execution.
• Strong understanding of token optimization strategies
  , including prompt compression and structured prompting, context window management and dynamic context injection, minimizing token usage while preserving output quality.
• Experience designing cost‑efficient AI systems
  , including token usage telemetry and cost‑per‑transaction modeling, budget controls, throttling, and multi‑model routing strategies.
• Proven ability…