Engineering Lead - Agentic AI Platform Engineering & Performance

Job description

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 building and leading an organization to deliver technology products and services that meet strategic business outcomes. Key responsibilities include enabling the portfolio strategy by setting strategic technology outcomes, creating a resource and people development strategy, managing the financial and resource plan, advocating and advancing organizational agility, improving end-to-end processes, and promoting learning and improvement. Job expectations may include coaching, mentoring, and driving leadership succession planning and development of employees. We are seeking a highly accomplished Agentic AI Platform Engineering & Performance Distinguished level to define and drive the architecture, engineering standards, and technical roadmap for high-performing, resilient agentic systems embedded across the Software Delivery Lifecycle (SDLC). This role will shape how engineering teams design, measure, optimize, and scale agent runtime platforms to deliver reliable, responsive, and cost-effective AI capabilities across developer workflows. This role requires deep technical leadership in agent runtime and latency profiling, model performance monitoring and routing, caching, streaming, orchestration, load testing, and site reliability engineering (SRE). The ideal candidate brings strong hands-on engineering depth, platform design expertise, and a track record of building scalable performance frameworks that improve responsiveness, throughput, resiliency, observability, and operational efficiency for agentic systems in production. 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 engineering direction for agent runtime performance, production scalability, and operational reliability capabilities that improve how AI-enabled delivery systems execute, respond, and perform across software delivery workflows. Responsibilities: Manages relationships with business and technology executives/sponsors and vendors for technical products and understands the work deliverables and performance of the Technology Management team by following outcomes from business and client feedback Creates an inclusive and healthy working environment and helps to resolve organizational impediments/blockers by sponsoring opportunities that improve processes, staying close to teams and their experiences, and identifying new opportunities to enhance efficiency and gain a competitive advantage Conducts portfolio level resourcing and financial management activities, establishes target outcomes through objectives and key results, tracks strategic technology outcomes aligned to the portfolio strategy, and promotes the organization and its resources to achieve them Facilitates performance and career development of teams through performance reviews, coaching, and creating development plans that are needed to build competencies and skills Establishes a culture of risk and compliance management, ensuring the organization is compliant with all applicable policies and standards Ensures that execution is aligned with Portfolio strategy by working with Portfolio Product Executives and other value stream stakeholders Manages procurement, vendor evaluations, and negotiating vendor contracts for technical products and services for the organization 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 Qualification: Engineering Leadership & Enterprise Platforms 15+ years of engineering leadership across enterprise platforms, developer tooling, or AI-enabled systems Proven ability to define architecture, standards, and technical strategy, influencing senior leaders and operating effectively in regulated environments Agent Runtime Performance, Profiling & Optimization Deep expertise in runtime profiling and latency optimization, including bottleneck analysis across orchestration, models, tools, and dependencies Strong ability to implement performance strategies (caching, batching, async processing, streaming) to improve throughput and reduce cost Experience designing efficient orchestration patterns that balance execution quality, scalability, and failure isolation Model Performance Monitoring, Routing & Production Controls Experience building model performance monitoring systems (latency, throughput, errors, cost, and fallback behavior) Strong understanding of model routing and runtime controls to optimize quality, resiliency, and cost across varying workloads Load Testing, Reliability Engineering & Resilience Strong foundation in SRE practices (SLOs, error budgets, incident response, capacity planning, production readiness) Proven ability to design for resilience (load testing, graceful degradation, retries, timeouts, and failure containment) Operational Excellence, Scale & Engineering Impact Track record scaling high-performance platforms to enterprise adoption, improving latency, reliability, cost efficiency, and developer experience Desired Qualification: Advanced degree in a technical discipline or equivalent record of distinguished technical leadership in agent runtime performance, platform reliability engineering, model operations, or AI-enabled software delivery engineering Skills: Business Acumen Financial Management Influence Result Orientation Risk Management Analytical Thinking Collaboration Data Management Stakeholder Management Technical Strategy Development Architecture DevOps Practices Solution Delivery Process Solution Design User Experience Design Shift: 1st shift (United States of America) Hours Per Week: 40