Senior Architect

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 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.

This role serves as a senior AI architecture leader responsible for defining enterprise patterns, standards, and decision frameworks that guide the adoption of AI across Global Technology. The role provides architectural leadership spanning AI platforms, agentic systems, retrieval architectures, model integration, workflow automation, and enterprise AI governance. Working closely with CIO architecture teams, platform engineering, security, and risk partners, this role helps translate rapidly evolving AI capabilities into practical, scalable, and governed enterprise solutions.

As the bank expands AI adoption across Consumer, Wealth, Business Banking, and Markets, a consistent architecture approach is critical to maximizing business value while managing risk and complexity. This role helps ensure AI investments are built on reusable foundations, aligned to enterprise standards, and integrated effectively with data, applications, and business processes. The outcome is accelerated solution delivery, improved productivity, stronger governance, and a scalable AI ecosystem that can support current and future business needs.

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)

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

Required Qualifications:

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

Desired Qualifications:

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

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