Principal Engineer - Agentic Experience & UI Framework

Bank of America•Charlotte, NC

7d•Onsite

About The Position

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 (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 an Agentic Experience & UI Framework Principal Engineer 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.

Requirements

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
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

Nice To Haves

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)

Responsibilities

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