Senior Architect – AI Solution Architecture

Bank of America; Addison (TX); On-site; USD 170,000 - 210,000; Full time

Job summary

Bank of America is seeking a Senior Architect with deep AI expertise to lead enterprise architecture for AI capabilities. You will define future-state architectures, guide technology decisions, and drive scalable, secure, and responsible AI solutions across platforms.

Ideal candidates have 10+ years in solution/enterprise architecture and hands-on experience with Generative AI, ML, and intelligent automation, with cloud experience preferred.

Qualifications

• 10+ years of experience in Solution Architecture, Enterprise Architecture, or Technology Strategy.
• Experience leading large-scale AI, Machine Learning, Advanced Analytics, or Intelligent Automation initiatives.
• Deep understanding of Generative AI LLMs, Retrieval Augmented Generation (RAG), Agentic AI architectures.
• Machine Learning lifecycle management.
• AI governance and responsible AI practices.
• Experience designing enterprise-scale distributed systems and API-driven architectures.
• Strong data architecture, data engineering, analytics platforms, and integration patterns.
• Experience conducting architecture reviews and defining target-state technology strategies.
• Ability to influence senior leaders and communicate complex technical concepts to executives.
• Strong problem-solving, strategic thinking, and consulting skills.

Responsibilities

• Create the overall architectural vision and strategy for AI initiatives across enterprise platforms.
• Lead architecture for GenAI, agentic workflows, intelligent copilots, and predictive analytics.
• Develop designs, blueprints, and reference patterns to drive reuse across the enterprise.
• Evaluate emerging AI technologies, platforms, models, and vendors for architecture fit.
• Drive architecture governance, reviews, and alignment with standards and regulatory requirements.
• Collaborate with engineering teams across the lifecycle from ideation to production deployment.

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

Tools

Kubernetes

Terraform

AWS

Azure

Google Cloud Platform

Python

Java

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.

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!

Position Summary

Bank of America is seeking a highly experienced Senior Architect with deep Artificial Intelligence expertise to lead the architecture, strategy, and adoption of AI-powered solutions across enterprise platforms. This role will define future-state architectures, guide technology decisions, and drive the implementation of scalable, secure, and responsible AI capabilities that deliver measurable business outcomes.

The ideal candidate combines strong enterprise architecture experience with hands-on knowledge of modern AI technologies including Generative AI, Agentic AI, Machine Learning, Knowledge Retrieval, and Intelligent Automation. Experience designing cloud-native architectures is preferred but not required.

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.

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)


• Define and communicate enterprise AI architecture vision, roadmaps, and target-state capabilities.


• Partner with business, product, engineering, data, risk, and security teams to translate strategic objectives into scalable technology solutions.


• Lead architecture for AI initiatives including GenAI, agentic workflows, intelligent copilots, recommendation engines, and predictive analytics.


• Develop solution designs, architecture blueprints, and reference patterns that enable reuse across the enterprise.


• Evaluate emerging AI technologies, platforms, models, and vendors and provide architecture recommendations.


• Drive architecture governance, design reviews, and alignment with enterprise standards and regulatory requirements.


• Define non-functional requirements including scalability, resiliency, observability, security, performance, and responsible AI controls.


• Collaborate with engineering teams throughout the development lifecycle, from ideation through production deployment.


• Mentor architects and engineers on AI architecture patterns, technology strategy, and solution design best practices.


• Support proof-of-concepts, innovation initiatives, and rapid experimentation to validate architecture decisions.

Required Qualifications

• 10+ years of experience in Solution Architecture, Enterprise Architecture, or Technology Strategy.


• Experience in leading large-scale AI, Machine Learning, Advanced Analytics, or Intelligent Automation initiatives.


• Deep understanding of: Generative AI Large Language Models (LLMs),Retrieval Augmented Generation (RAG) ,Agentic AI architectures.


• Machine Learning lifecycle management


• AI governance and responsible AI practices


• Experience designing enterprise-scale distributed systems and API-driven architectures.


• Strong understanding of data architecture, data engineering, analytics platforms, and integration patterns.


• Experience conducting architecture reviews and defining target-state technology strategies.


• Ability to influence senior leaders and communicate complex technical concepts to executive audiences.


• Strong problem-solving, strategic thinking, and consulting skills.


• Excellent written and verbal communication skills.

Desired Qualifications

• Experience designing and deploying solutions on AWS, Azure, or Google Cloud Platform.


• Experience with cloud-native services including Kubernetes, serverless platforms, and containerized architectures.


• Familiarity with AI platform services such as Azure OpenAI, AWS Bedrock, Vertex AI, Databricks, or equivalent technologies.


• Hands-on experience with AI-assisted development tools such as GitHub Copilot, Microsoft Copilot, Claude, or similar technologies.


• Experience implementing Infrastructure as Code using Terraform or comparable solutions.


• Experience within financial services, banking, risk, compliance, or regulated industries.


• Software engineering background with proficiency in Python, Java, or similar languages.

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