About this opportunity
Bank of America lists this Principal Engineer - Agentic AI Framework and Harness opportunity in charlotte, North Carolina. Review the employer’s description below for duties, qualifications and application requirements.
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.
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
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Worksite address
charlotte, NC, 28245, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.