Engineering Lead - Agentic AI Platform Engineering & Performance

Bank of America•Charlotte, NC

1d•Onsite

About The Position

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.

Requirements

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
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
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
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)
Track record scaling high-performance platforms to enterprise adoption, improving latency, reliability, cost efficiency, and developer experience

Nice To Haves

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

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