Senior 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 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!

• →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)
• →AI Architecture Strategy & Governance
• →Define enterprise AI architecture strategy, patterns, and reference architectures
• →Establish decision frameworks for AI platform selection, solution design, and deployment approaches
• →Develop governance models, standards, and guardrails for AI and agentic solutions
• →Drive consistency and reuse through enterprise AI patterns, templates, and guidance artifacts
• →Align AI architecture with enterprise security, risk, compliance, and control requirements
• →Agentic AI & Intelligent Automation
• →Define architecture patterns for enterprise AI agents, multi-agent systems, and workflow automation
• →Establish guidance for agent orchestration, planning, memory, tool invocation, and human oversight
• →Drive standards for deterministic, probabilistic, and hybrid automation models

• 15+ years in enterprise architecture, solution architecture, software engineering, or distributed systems design
• 8+ years of experience architecting AI/ML, NLP, or advanced analytics solutions.
• 2+ years of experience designing enterprise GenAI, RAG, and agentic AI solutions.
• Strong knowledge of AI/ML concepts including LLMs, RAG, embeddings, vector databases, evaluation frameworks, and agent-based architectures
• Experience with enterprise AI platforms such as Microsoft Copilot Studio, Azure AI services, Azure OpenAI, or equivalent technologies
• Familiarity with AI orchestration frameworks, workflow automation, and enterprise integration patterns
• Understanding of security, governance, privacy, and risk considerations for AI solutions
• Proven ability to influence senior stakeholders and drive architecture decisions in regulated environments
• Strong communication skills with the ability to simplify complex AI concepts and drive alignment across technical and business audiences

• Experience with agentic AI, multi-agent systems, MCP, and emerging AI interoperability standards
• Experience with Microsoft AI ecosystem capabilities including Copilot Studio, Azure AI Foundry, Azure OpenAI, and GitHub Copilot
• Experience with AWS AI services including Amazon Bedrock, SageMaker, and AI application architectures
• Knowledge of knowledge graphs, semantic search, vector databases, and enterprise retrieval architectures
• Experience defining AI governance, model lifecycle management, and responsible AI practices
• Experience operating in large-scale, highly regulated enterprise environments

• 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