Principal Engineer – Agentic Experience, UI Framework

Bank of America

. Define and lead the engineering approach for program- or portfolio-level solutions .

Posted 10/23/2026full-timeUnited StatesLead💰 $156,500 - $230,000 per yearWebsite

Tech Stack

Tools & technologies

CloudJavaScriptNext.jsReactTypeScript

About the role

Key responsibilities & impact

Define and lead the engineering approach for program- or portfolio-level solutions
Develop, analyze, and deliver technical enablers with Architecture
Lead planning, definition, and design of complex features spanning multiple teams
Provide technical oversight, including design reviews and code reviews
Define the technology tool stack using internally approved and supported technologies
Explore state-of-the-art technologies to improve development efficiency, test/QA coverage, and release management
Lead end-to-end test strategy, creation, adherence, and integration between teams
Improve developer experience and make it easier to deliver industry-leading solutions
Advance technology platforms through innovation
Align the technology portfolio to a single enterprise architecture strategy and deliver governance enabling consistency, integration, and automation
Define and drive UI platform architecture for AI-powered and agent-assisted developer experiences
Build scalable frontend frameworks, component systems, and design patterns for dynamic AI-driven workflows
Design interactive, conversational, and workflow-centric interfaces integrating LLMs and autonomous agents
Develop real-time user experiences with streaming responses, step-by-step execution, logs, agent reasoning visibility, and 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
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 through frontend standards, usability benchmarks, and developer experience best practices

Requirements

What you’ll need

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 using OpenAI, Anthropic, Google, or open-source models
Experience designing agent-based or AI-assisted workflows, including task planning and execution flows, multi-step reasoning or orchestration, and tool/API integration via agents
Familiarity with prompt engineering, context management, and response streaming UX
Experience building AI-driven UI patterns, including conversational interfaces, Copilot-style assistance, and 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, including component libraries, design systems, and shared frameworks
Strong knowledge of state management and async UI patterns, performance optimization and rendering strategies, and micro-frontends or modular UI architecture
Experience building highly interactive, app-like web interfaces for technical users
Experience designing complex, multi-step workflow UIs
Strong understanding of streaming and event-driven interfaces, real-time updates and async task handling, and progressive disclosure and contextual UI
Ability to represent agent actions, execution state, logs, outputs, 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, and 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, including data exposure, prompt safety, and 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
1st shift in the United States of America
40 hours per week

Benefits

Comp & perks

Discretionary incentive eligible; eligible to participate in the annual discretionary plan
Benefits eligible
Access to paid time off
Resources and support to employees
In-office culture with an appropriate level of flexibility based on role-specific responsibilities and business needs
Opportunities to learn, grow, and make an impact
Support for physical, emotional, and financial wellness through affordable, competitive and flexible benefits