Senior Architect - Enterprise AI HLD Architect

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 impacting 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! Position Overview This job is responsible for defining an architectural vision and solution that supports the strategic outcomes of the Business' Products and Services. Key responsibilities include defining the target operating environment, designing for client resiliency, assisting with solution design, and defining non‑functional requirements. Job expectations include working with stakeholders and service providers aligned to the Business' strategic objectives, evaluating the impact of strategic design decisions, and contributing to the architecture roadmap. Enterprise AI Senior Architect This role will shape how engineering teams architect AI‑enabled solutions that align to enterprise standards for security, interoperability, operability, and long‑term platform sustainability. 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 provides architecture leadership for enterprise AI high‑level design, helping define how AI capabilities are structured, integrated, governed, and operationalized across software delivery workflows. Responsibilities Works across the business, operations and technology to create the solution intent and architectural vision for complex solutions and prioritize functional and non‑functional requirements into a technology backlog to enable the technology roadmap and functionality to support evolving capabilities and services Contributes to the creation of the architecture roadmap of defined domains (Business, Application, Data, and Technology) in support of the product roadmap and the development of best practices including standardized templates Clarifies the architecture, assists with system design to support implementation, and provides solution options to resolve any architectural impediments Facilitates solution‑driven discussions, leads the design of complex architectures, and finds creative solutions through knowledge of domain, practical experiments, and proof of concepts while ensuring architecture is flexible, modular, and adaptable Educates team members on the technology practices, standardization strategies, and best practices to create innovative solutions Supports the team as needed to select the technology stack required for solutions and helps select preferred technology products Performs design and code reviews to ensure all non‑functional requirements are sufficiently met (for example, security, performance, maintainability, scalability, usability, and reliability) Improves the experience for our developers, making it easier to deliver industry‑leading solutions, while managing work efficiently and with the right controls Advances our technology platforms through innovation Reduces risk and improves quality across our technology portfolio by aligning to a single enterprise architecture strategy and delivering governance that enables consistency, integration and automation Required Qualifications 10+ years of engineering and architecture experience with strong technical leadership across enterprise software platforms, developer tooling, or AI‑enabled systems Demonstrated ownership of architecture design, reference patterns, and technical standards for shared capabilities used across multiple teams or lines of business Experience engineering solutions in highly regulated environments with strong SDLC, risk, audit, and control requirements Ability to influence architects, engineering teams, and risk partners through clear high‑level design guidance, reference architecture, and pragmatic technical standards Enterprise AI Architecture, Platform Design & Systems Thinking Deep expertise in platform architecture and enterprise solution design, with the ability to define high‑level structures, capability boundaries, and reference patterns for AI‑enabled delivery systems Strong command of enterprise systems thinking , including trade‑off analysis, dependency management, cross‑platform design, and alignment of architecture decisions to long‑term enterprise outcomes Proven ability to design AI systems architecture that aligns application, data, model, workflow, and platform considerations into coherent and supportable enterprise solutions Experience designing architecture patterns that improve developer workflow integration across source control, CI/CD, testing, infrastructure, and AI‑enabled delivery services Hands‑on knowledge of cloud and platform engineering principles required to ensure architecture patterns are practical, scalable, and aligned to enterprise operating models Security, Governance & Resilience by Design Experience applying security and governance by design principles to enterprise AI architecture, including control points, policy alignment, risk‑aware patterns, and support for regulated delivery environments Strong understanding of architecture decisions that support resiliency, observability, supportability, and operational readiness across AI‑enabled delivery systems Proven ability to embed a resilience and operability mindset into high‑level design through architecture patterns for failure handling, service dependencies, recovery, and sustainable operations Integration, Interoperability & Enterprise Enablement Hands‑on collaboration with platform engineering, security, data, and delivery teams to define integration and interoperability design patterns that connect AI capabilities with enterprise systems, controls, and delivery processes Strong foundation in interface design, service interaction patterns, data flow architecture, and platform interoperability required to enable scalable enterprise AI adoption Experience shaping reference architectures that balance reuse, flexibility, standardization, and integration complexity across diverse enterprise delivery environments Familiarity with architecture review processes, dependency mapping, and cross‑domain design alignment needed to make enterprise AI solutions interoperable, governed, and supportable Architecture Enablement, Adoption & Engineering Impact Ability to define reference patterns, architecture guardrails, and enablement approaches that improve delivery consistency, design quality, and speed to value across engineering teams Proven track record guiding architecture capabilities from concept to enterprise adoption through measurable improvements in solution quality, standardization, governance, and developer alignment Demonstrated success connecting architecture investments to delivery acceleration, operational resilience, integration consistency, and reduced complexity across software delivery workflows Experience evaluating solution approaches, architectural trade‑offs, and enterprise constraints to guide teams toward scalable, supportable, and high‑value AI use cases Education Bachelor’s 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 senior architecture leadership in enterprise platforms, AI systems design, software delivery architecture, or cloud engineering. Skills Analytical Thinking Architecture Result Orientation Solution Design Technical Strategy Development Application Development Collaboration Data Management DevOps Practices Risk Management Agile Practices Automation Influence Solution Delivery Process Test Engineering Shift: 1st shift (United States of America) Hours Per Week: 40 #J-18808-Ljbffr Bank of America