Principal Engineer - Agentic Experience & UI Framework

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to lead the architecture and buildout of a modern UI platform that powers AI-driven and agent-assisted workflows across the Software Delivery Lifecycle (SDLC).

This role sits at the intersection of frontend platform engineering, AI-assisted user experiences, and developer productivity. You will define how engineers and delivery teams interact with LLM-powered capabilities, autonomous agents, and intelligent workflows through intuitive, real-time, and highly interactive user interfaces.

• →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
• →Define and drive the UI platform architecture for AI-powered and agent-assisted developer experiences
• →Build scalable frontend frameworks, component systems, and design patterns to support dynamic, AI-driven workflows
• →Design interactive, conversational, and workflow-centric interfaces that integrate with LLMs and autonomous agents
• →Develop real-time user experiences (streaming responses, step-by-step execution, logs, agent reasoning visibility, task progress)
• →Create UI patterns for human-in-the-loop workflows, approvals, overrides, and task orchestration
• →Partner with AI/ML and platform teams to integrate LLMs, APIs, and agent orchestration layers into cohesive user experiences
• →Define standards for prompt-driven UX, contextual interfaces, and adaptive UI behavior based on model outputs
• →Ensure secure, role-aware, and governed experiences aligned with enterprise IAM/SSO
• →Drive adoption by establishing frontend standards, usability benchmarks, and developer experience best practices

• Advanced degree in a technical discipline or equivalent record of distinguished technical leadership in internal developer platforms, developer portal services, platform onboarding architecture, or software delivery engineering
• Experience building Copilot-style or assistant-driven interfaces for developers or enterprise users
• Familiarity with agent orchestration frameworks and tool-use patterns
• Experience designing editor-like or command-driven UIs (e.g., structured outputs, inline actions, context panels)
• Background in DevEx, internal developer platforms, or SDLC tooling
• Experience instrumenting AI UX metrics (latency, quality, completion rate, user trust)

• 15+ years of engineering experience with strong focus on frontend or full-stack platforms
• Proven experience building developer-facing tools, AI-assisted applications, or intelligent workflow systems
• Demonstrated leadership in defining architecture and scaling platforms across teams

• Hands-on experience building LLM-powered applications (e.g., OpenAI, Anthropic, Google, or open-source models)
• Experience designing agent-based or AI-assisted workflows, including: Task planning & execution flows, Multi-step reasoning or orchestration, Tool/API integration via agents
• Familiarity with prompt engineering, context management, and response streaming UX
• Experience building AI-driven UI patterns, such as: Conversational interfaces, Copilot-style assistance, Command-driven or intent-based interactions
• Understanding of human-in-the-loop design, feedback loops, and AI explainability in UX

• Deep expertise in TypeScript, JavaScript, React, Next.js (or similar frameworks)
• Experience building scalable UI platforms (component libraries, design systems, shared frameworks)
• Strong knowledge of: State management and async UI patterns, Performance optimization and rendering strategies, Micro-frontends or modular UI architecture
• Experience building highly interactive, app-like web interfaces for technical users

• Experience designing complex, multi-step workflow UIs that guide users through execution and decision-making
• Strong understanding of: Streaming and event-driven interfaces, Real-time updates and async task handling, Progressive disclosure and contextual UI
• Ability to represent: Agent actions, Execution State, Logs, outputs, and system feedback, Recommendations and next steps

• Strong experience with API-first architecture and frontend-backend integration
• Familiarity integrating with: CI/CD systems, Source control platforms, Infrastructure and cloud services, Observability and telemetry systems
• Ability to collaborate across AI/ML, backend, and platform engineering teams

• Experience working with IAM, SSO, RBAC, and enterprise-grade access controls
• Understanding of secure UI patterns for AI-driven systems (data exposure, prompt safety, access-aware rendering)
• Experience in regulated or large-scale enterprise environments

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

• Automation
• Influence
• Result Orientation
• Stakeholder Management
• Technical Strategy Development
• Application Development
• Architecture
• Business Acumen
• Risk Management
• Solution Design
• Agile Practices
• Analytical Thinking
• Collaboration
• Data Management
• Solution Delivery Process