Principal Engineer Agentic AI Engineering

Job Description:

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:

his 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 capable Agentic AI Engineering Principal Engineer to design build integrate and support AI-enabled engineering capabilities embedded across the Software Delivery Lifecycle (SDLC). This role will help delivery teams adopt practical AI solutions that improve code authoring test generation automation and developer productivity while aligning to enterprise engineering standards.

This role requires strong hands-on engineering capability in one or more of GitHub Copilot LangGraph Semantic Kernel / Microsoft Agent Framework SDLC automation code and test generation CI/CD integration secure coding and engineering productivity. The ideal candidate brings practical implementation experience strong software engineering fundamentals and a track record of turning AI-assisted development capabilities into reliable secure and scalable delivery workflows.

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

• 7 years of software engineering experience with hands-on delivery across enterprise platforms developer tooling automation or AI-enabled engineering solutions

• Demonstrated experience implementing shared engineering capabilities reusable automation patterns or platform integrations used across multiple teams

• Experience engineering solutions in highly regulated environments with strong SDLC risk audit and control requirements

• Ability to work effectively with architects platform teams security partners and delivery teams to translate standards into practical implementation patterns and working solutions

AI-Assisted Engineering SDLC Tooling & Automation

• Hands-on experience with GitHub Copilot and related AI-assisted development workflows to improve code authoring refactoring documentation and engineering efficiency

• Practical knowledge of LangGraph and Semantic Kernel / Microsoft Agent Framework for building and integrating orchestrated AI workflows tool connections or engineering automation use cases

• Experience implementing SDLC automation patterns that connect AI-assisted capabilities to source control build test release and developer workflow systems

• Strong understanding of practical engineering productivity improvements enabled by AI including reduced manual effort faster iteration and improved delivery consistency

Code & Test Generation CI/CD Integration & Delivery Workflows

• Experience using AI-assisted capabilities for code and test generation including unit tests test scaffolding refactoring support and developer-facing accelerators

• Strong foundation in CI/CD integration with the ability to embed AI-enabled workflows into build validation pull request release and quality control processes

• Ability to implement delivery workflows that balance automation speed with traceability control and supportability in enterprise engineering environments

Secure Coding Standards & Enterprise Enablement

• Hands-on collaboration with security platform and delivery teams to apply secure coding practices review patterns and controls to AI-assisted engineering workflows

• Strong understanding of enterprise engineering standards practical guardrails and implementation patterns that enable safe and consistent adoption of AI capabilities

• Experience integrating AI-assisted development capabilities with existing enterprise platforms and workflows in ways that are supportable governed and maintainable

• Familiarity with rollout patterns onboarding documentation and developer enablement approaches that improve adoption and responsible use of AI-assisted tooling

Implementation Impact Adoption & Engineering Productivity

• Ability to implement reusable patterns automation components and developer enablement approaches that improve productivity consistency and speed to value

• Proven track record delivering engineering capabilities from pilot to adoption through measurable improvements in workflow efficiency code quality automation and developer experience

• Demonstrated success connecting AI-assisted engineering investments to reduced manual effort improved test coverage faster cycle times and stronger delivery outcomes

• Experience evaluating implementation options tool fitness and workflow design choices to guide teams toward practical scalable and supportable engineering use cases

Education

• Bachelors 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 senior engineering experience in developer tooling software delivery automation AI-assisted engineering or enterprise platform integration

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

Pay Transparency details

US - NJ - Jersey City - 525 Washington Blvd (NJ2525)

Pay and benefits information

Pay range

$156500.00 - $230000.00 annualized salary offers to be determined based on experience education and skill set.

Discretionary incentive eligible

This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors the performance and contributions of their line of business and/or group; and the overall success of the Company.

Benefits

This role is currently benefits eligible. We provide industry-leading benefits access to paid time off resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.