Vista previa generada por IA
Lead Agentic AI Framework Engineer at Bank of America, shaping reusable agent systems.
Drive technology standards, governance, and developer tooling across enterprise SDLC.
Company Overview
At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.
Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits.
We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve.
Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role‑specific responsibilities and business needs.
At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!
Job Description
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.
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.
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This role requires deep technical leadership in agent orchestration, memory patterns, policy hooks, tool calling, planning loops, simulator harnesses, deterministic workflow design, eval integration, and SDK, API, and CLI design . The ideal candidate brings strong hands‑on engineering depth, platform design expertise, and a track record of building reusable framework capabilities that improve correctness, composability, governance, testability, and developer productivity for agentic systems in production.
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
Required Qualifications
Engineering Leadership & Enterprise Platforms
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
Agent Frameworks, Orchestration & Execution Design
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 lifecycles
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
Harnesses, Simulation & Evaluation Integration
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 continuous quality measurement
Proven ability to create reusable framework guardrails, deterministic harness patterns, and evaluation‑connected developer workflows that enable safe, testable, and scalable adoption at enterprise scale
SDK, API, CLI & Developer Interface Design
Hands‑on collaboration with platform engineering, product, and developer experience teams to design intuitive SDKs, APIs, and CLIs that simplify adoption of agent frameworks and harness capabilities
Strong foundation in developer‑centered API design, abstraction layering, extensibility models, versioning strategies, and interface ergonomics required to support broad enterprise engineering use
Experience leading framework design for composability, determinism, debuggability, and interoperability across SDK, runtime, orchestration, and evaluation layers
Familiarity with CLI workflows, configuration design, local development harnesses, and packaging patterns required to make enterprise agentic tooling accessible, supportable, and efficient for delivery teams
Framework Scale, Governance & Engineering Impact
Ability to define framework standards, execution models, governance patterns, and developer enablement approaches that continuously improve correctness, reuse, and delivery efficiency
Proven track record taking agent framework and harness capabilities from incubation to enterprise‑scale adoption through measurable improvements in composability, testability, governance, and developer experience
Demonstrated success connecting framework engineering investments to delivery acceleration, quality improvement, operational consistency, and reduced friction across engineering workflows
Experience evaluating orchestration models, harness strategies, policy extensibility, and interface designs to guide teams toward scalable, supportable, and high‑value enterprise use cases
Education
Bachelor’s degree in computer science, Engineering, Information Systems, Applied Mathematics, or a related technical field
Desired Qualifications
Advanced degree in a technical discipline or equivalent record of distinguished technical leadership in agent orchestration frameworks, execution harnesses, developer platform tooling, or AI-enabled software delivery engineering
Skills
- 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
Shift and Hours
Shift: 1st shift (United States of America)
Hours Per Week: 40