OverviewAt Bank of America, this role is responsible for defining and leading the engineering approach for solutions at the program or portfolio level, to deliver significant business outcomes. The role focuses on continuously improving the design, quality, and reuse of the solution and delivering technology enablers that improve development efficiencies. 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.Within the SDLC Software Delivery Lifecycle program, this position 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. The engineer 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.ResponsibilitiesDevelop 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 the 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.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.Required QualificationsCore Experience15+ 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.Agentic AI Experience (Critical)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.Frontend & UI Platform ExpertiseDeep 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.Workflow & Interaction DesignExperience 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.Platform Integration & Full‑Stack CollaborationStrong 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.Security & Enterprise ReadinessExperience 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.EducationBachelor's degree in Computer Science, Engineering, Information Systems, Applied Mathematics, or a related technical field.Desired QualificationsAdvanced 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).Why This RoleDefine the next‑generation AI‑powered developer experience at enterprise scale.Work on cutting‑edge problems combining LLMs, agents, and modern front‑end platforms.Influence how engineers interact with intelligent systems and autonomous workflows.Drive high‑impact transformation in software delivery productivity and experience.SkillsAutomationInfluenceResult OrientationStakeholder ManagementTechnical Strategy DevelopmentApplication DevelopmentArchitectureBusiness AcumenRisk ManagementSolution DesignAgile PracticesAnalytical ThinkingCollaborationData ManagementSolution Delivery ProcessShift1st shift (United States of America)Hours Per Week40#J-18808-Ljbffr