Principal Engineer - Agentic AI Framework and Harness

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.

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At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

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:

1st shift (United States of America)

Hours Per Week:

40