Bank of America

Principal Engineer - Agentic AI Engineering

Full-time · Charlotte, NC
✓ Verified live on the employer's own system · added 9 days ago
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Senior

Requirements

Education: Bachelor's degree or related field

Skills & tools

Team LeadershipRecruitingMachine LearningGitDevopsProgrammingQuality AssuranceManagement
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Full job description

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.

- 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

- Bachelor's degree in computer science, Engineering, Information Systems, Applied Mathematics, or a related technical field

- 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

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This posting was published by Bank of America on their own careers system and is shown here with a direct link to apply there. Employers: for corrections or removal, contact jobs@veritahire.com.