Senior Technology 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!

Position Summary

A senior technology architect responsible for leading the design, delivery, and scaling of advanced AI-driven solutions within a complex banking environment. The ideal candidate will bring over 10 years of financial services experience, combined with deep expertise in AI/ML, data platforms, and enterprise solution architecture.

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
• Edits the 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)

Required Qualifications

• 10+ years of experience leading the design, development, and enterprise-scale implementation of technology solutions within financial services
• Demonstrated ability to lead multiple agile teams across concurrent programs, driving delivery, prioritization, and execution with minimal oversight
• Extensive experience with data visualization and storytelling tools (e.g., Tableau, Power BI) to communicate insights to executive stakeholders
• Strong ownership mindset with the ability to operate independently, manage complexity, and deliver results under tight timelines
• 5+ years of experience in AI/ML, data science, or advanced analytics, with a strong focus on delivering production-grade solutions
• Proven experience acting as a senior AI solutionist, translating business needs into scalable, secure, and compliant architectures
• Strong technical expertise in programming languages such as Python and SQL, with the ability to guide engineering and data science teams hands-on when needed
• Deep understanding of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and their application in enterprise environments
• Strong knowledge of statistical modeling, data analysis, and AI-driven decisioning within regulated environments
• Experience with large-scale AI implementations

Desired Qualifications

• Experience with big data and distributed computing technologies (e.g., Hadoop, Hive, Spark, Salesforce, Data Lake house concepts) in large-scale enterprise ecosystems
• Familiarity with on-prem-based AI platforms and modern data architectures (e.g., data lakes, semantic layers, orchestration frameworks)
• Proven track record of leading AI-driven transformation initiatives in banking or financial services
• Excellent communication, stakeholder management, and executive presentation skills
• Strong problem-solving mindset with the ability to navigate ambiguity and drive strategic outcomes

Skills

• Analytical Thinking
• Architecture
• Result Orientation
• Solution Design
• Technical Strategy Development
• Application Development
• Data Management
• DevOps Practices
• Risk Management
• Agile Practices
• Automation
• Influence
• Solution Delivery Process
• Test Engineering

Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.

Shift

1st shift (United States of America)

Hours Per Week

40