Principal Engineer Agentic AI Platform Engineering & Performance

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:
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.

Within DevEx we are seeking a highly accomplished Agentic AI Platform Engineering & Performance Principal Engineer to define and drive the architecture engineering standards and technical roadmap for AI capabilities embedded across the SDLC. This role will shape how AI is operationalized across developer workflows enabling scalable secure and governed adoption of agentic AI capabilities across engineering teams.

This role requires deep technical leadership in agent orchestration LLMOps pipelines runtime governance AI performance engineering and developer tooling. The ideal candidate brings strong hands-on engineering depth platform design expertise and experience building reusable AI capabilities that are scalable observable cost-efficient and performant.

This role leads engineering direction for AI-enabled delivery capabilities that improve how software is designed built tested governed and operated at scale. This role advances developer productivity platform innovation and enterprise consistency while reducing risk and improving quality through aligned architecture governance and automation. It also defines how agentic AI systems operate efficiently at scale ensuring performance cost and reliability are engineered as first-class concerns

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 platforms developer tooling or AI-enabled engineering systems
• Demonstrated ownership of architecture standards and engineering direction for shared platforms across multiple lines of business
• Experience operating in highly regulated environments with strong SDLC risk and audit requirements
• Ability to influence senior technology leaders and stakeholders through clear technical strategy and engineering standards

AI Platform Engineering Agent Orchestration & LLMOps

• Deep expertise in enterprise AI platforms including agentic architectures orchestration frameworks and reusable service patterns
• Strong command of LLMOps pipelines including prompt and model versioning evaluation frameworks testing automation and release lifecycle management

• Proven ability to establish runtime governance and performance optimization including:
  • Policy enforcement observability resiliency and safe execution controls
  • Latency optimization token efficiency and cost-aware execution of AI workflows
  • Intelligent orchestration strategies balancing quality cost and responsiveness
• Experience building AI developer tooling integrated with SDLC workflows including assistants test generation and evaluation harnesses
• Hands-on knowledge of secure integration patterns across CI/CD source control and enterprise developer platforms

Agentic AI Performance Engineering & Optimization

• Deep expertise in performance engineering of LLM and agentic systems including latency profiling throughput optimization and scalable execution
• Strong understanding of token optimization strategies including: Prompt compression and structured prompting Context window management and dynamic context injection Minimizing token usage while preserving output quality
• Experience designing cost-efficient AI systems including: Token usage telemetry and cost-per-transaction modeling Budget controls throttling and multi-model routing strategies
• Proven ability to implement runtime optimizations such as: Caching (prompt response embeddings) Context pruning and retrieval optimization (RAG) and Parallelized agent workflows and efficient tool invocation
• Experience establishing observability and SLAs for AI systems including token usage latency cost and quality metrics

SDLC Platform Engineering & Developer Enablement

• Experience building platforms that improve developer productivity and standardize delivery across build test and release workflows
• Strong understanding of CI/CD platform engineering practices and AI integration into enterprise delivery ecosystems
• Ability to create reusable patterns guardrails and self-service capabilities that accelerate teams without compromising control

Security Risk & Compliance

• Experience embedding governance and control requirements into AI platforms in partnership with Security Risk and Compliance teams
• Strong foundation in identity-aware access data protection and model/prompt governance
• Experience with threat modeling secure design and enterprise AI governance frameworks

Platform Adoption Operating Model & Engineering Impact

• Ability to define platform operating models standards and adoption strategies for AI capabilities across the SDLC. Proven success scaling platforms from incubation to enterprise adoption with measurable impact

• Demonstrated ability to define performance SLAs (latency cost token usage) for enterprise AI systems
• Demonstrated ability to establish governance models ensuring efficient and sustainable scaling of agentic workloads
• Demonstrated ability to connect platform investments to improved delivery speed quality resilience and cost efficiency

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 distinguished technical leadership in AI platforms developer tooling or 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:

Hours Per Week: