Back to search results Principal Engineer - Agentic AI Platform Engineering & Performance Charlotte, North Carolina Additional locations Apply × To proceed with your application, you must be at least 18 years of age. Acknowledge × Bank of America employees are required to meet all posting eligibility requirements prior to applying for any new position. Acknowledge Refer a friend Apply × To proceed with your application, you must be at least 18 years of age. Acknowledge × Bank of America employees are required to meet all posting eligibility requirements prior to applying for any new position. Acknowledge 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 concernsResponsibilities:Develops the engineering approach for the entire program/portfolio solution and works with Architecture, to develop/analyze/deliver the implementation of technical enablersLeads the planning, definition, and design of the complex features which span multiple teams and explore solution alternativesCreates ideas on designing complex technology and solution development approachesLeads the technical oversight for teams in solution development including design reviews and code within own domainDefines the technology tool stack for the solution within ranged of internally approved and supported technologiesExplores state-of-the-art technologies to improve development efficiencies, quality of test/QA coverage, and release managementLeads and is responsible for the end-to-end test strategy/creation/adherence, and the integration between teams for a program/portfolio solutionImprove the experience for our developers, making it easier to deliver industry-leading solutions, while managing work efficiently and with the right controlsAdvance our technology platforms through innovationReduce risk and improve quality across our technology portfolio by aligning to a single enterprise architecture strategy and delivering governance that enables consistency, integration and automationRequired Qualifications:Engineering Leadership & Enterprise Platforms15+ years of engineering experience with deep technical leadership in enterprise platforms, developer tooling, or AI-enabled engineering systemsDemonstrated ownership of architecture, standards, and engineering direction for shared platforms across multiple lines of businessExperience operating in highly regulated environments with strong SDLC, risk, and audit requirementsAbility to influence senior technology leaders and stakeholders through clear technical strategy and engineering standardsAI Platform Engineering, Agent Orchestration & LLMOpsDeep expertise in enterprise AI platforms, including agentic architectures, orchestration frameworks, and reusable service patternsStrong command of LLMOps pipelines, including prompt and model versioning, evaluation frameworks, testing automation, and release lifecycle managementProven ability to establish runtime governance and performance optimization, including:Policy enforcement, observability, resiliency, and safe execution controlsLatency optimization, token efficiency, and cost-aware execution of AI workflowsIntelligent orchestration strategies balancing quality, cost, and responsivenessExperience building AI developer tooling integrated with SDLC workflows, including assistants, test generation, and evaluation harnessesHands-on knowledge of secure integration patterns across CI/CD, source control, and enterprise developer platformsAgentic AI Performance Engineering & OptimizationDeep expertise in performance engineering of LLM and agentic systems, including latency profiling, throughput optimization, and scalable executionStrong understanding of token optimization strategies, including: Prompt compression and structured prompting, Context window management and dynamic context injection, Minimizing token usage while preserving output qualityExperience designing cost-efficient AI systems, including: Token usage telemetry and cost-per-transaction modeling, Budget controls, throttling, and multi-model routing strategiesProven ability to implement runtime optimizations such as: Caching (prompt, response, embeddings), Context pruning and retrieval optimization (RAG), and Parallelized agent workflows and efficient tool invocationExperience establishing observability and SLAs for AI systems, including token usage, latency, cost, and quality metricsSDLC Platform Engineering & Developer EnablementExperience building platforms that improve developer productivity and standardize delivery across build, test, and release workflowsStrong understanding of CI/CD, platform engineering practices, and AI integration into enterprise delivery ecosystemsAbility to create reusable patterns, guardrails, and self-service capabilities that accelerate teams without compromising controlSecurity, Risk & ComplianceExperience embedding governance and control requirements into AI platforms in partnership with Security, Risk, and Compliance teamsStrong foundation in identity-aware access, data protection, and model/prompt governanceExperience with threat modeling, secure design, and enterprise AI governance frameworksPlatform Adoption, Operating Model & Engineering ImpactAbility 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 impactDemonstrated ability to define performance SLAs (latency, cost, token usage) for enterprise AI systemsDemonstrated ability to establish governance models ensuring efficient and sustainable scaling of agentic workloadsDemonstrated ability to connect platform investments to improved delivery speed, quality, resilience, and cost efficiencyEducationBachelor's degree in Computer Science, Engineering, Information Systems, Applied Mathematics, or a related technical fieldDesired Qualifications:Advanced degree in a technical discipline or equivalent record of distinguished technical leadership in AI platforms, developer tooling, or software delivery engineeringSkills:AutomationInfluenceResult OrientationStakeholder ManagementTechnical Strategy DevelopmentApplication DevelopmentArchitectureBusiness AcumenRisk ManagementSolution DesignAgile PracticesAnalytical ThinkingCollaborationData ManagementSolution Delivery ProcessShift:1st shift (United States of America)Hours Per Week: 40 Learn more about this role Apply × To proceed with your application, you must be at least 18 years of age. Acknowledge × Bank of America employees are required to meet all posting eligibility requirements prior to applying for any new position. Acknowledge Refer a friend Apply × To proceed with your application, you must be at least 18 years of age. Acknowledge × Bank of America employees are required to meet all posting eligibility requirements prior to applying for any new position. Acknowledge Full time JR-26020194 Manages People: No Travel: No Age requirement: Must at least be 18 years of age. Share: Save job Job saved