Principal Engineer - Agentic AI Framework and Harness

This job is responsible for defining and leading the engineering approach for solutions at the program or portfolio level, to deliver significant business outcomes. 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 (Dev Ex) 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.

We are seeking a highly accomplished Agentic AI Framework & Harness Principal Engineer to define and drive the architecture, engineering standards, and technical roadmap for reusable agent frameworks and harness capabilities embedded across the Software Delivery Lifecycle (SDLC). This role will shape how engineering teams design, compose, test, and operationalize agentic workflows through robust framework abstractions, deterministic execution patterns, and enterprise-grade developer tooling.

• 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

• 15+ years of engineering experience with deep technical leadership in enterprise software platforms, developer tooling, or AI-enabled engineering systems
• Demonstrated ownership of architecture, standards, and engineering direction for shared platforms used across multiple delivery teams or lines of business
• Experience engineering solutions in highly regulated environments with strong SDLC, risk, audit, and control requirements
• Ability to influence senior technology leaders, platform teams, and risk partners through clear technical strategy, architecture guidance, and engineering standards

• Deep expertise in designing reusable agent orchestration frameworks, including execution models, control flow patterns, state handling, and composition strategies for multi-step and tool-augmented workflows
• Strong command of memory patterns
  , including short-term and long-term context strategies, state persistence, retrieval interfaces, and mechanisms for safe and relevant memory use across agent life cycles
• Proven ability to implement policy hooks and runtime interception points that enforce governance, validation, safety, observability, and enterprise controls throughout agent execution
• Experience engineering robust tool calling abstractions, interface contracts, and execution patterns that enable reliable integration with enterprise systems, services, and developer tools
• Hands‑on knowledge of planning loops and deterministic workflow design that balance flexibility with predictability, traceability, and supportability across enterprise agentic use cases

• Experience building simulator harnesses and execution testbeds that enable repeatable testing, scenario simulation, policy validation, and controlled experimentation for agentic workflows
• Strong understanding of eval integration
  , including offline and online assessment patterns, benchmark design, regression detection, and framework-level hooks for…