Senior Engineer - AI & Intelligent Automation Platforms

Bank of America Corporation

Texas

On-site

USD 150,000 - 190,000

Full time

2 days ago

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Job summary

Bank of America Corporation seeks a Senior Engineer to lead enterprise AI, Intelligent Automation, and document processing platforms. You will guide end-to-end technical design, execution leadership, and cross-team collaboration to deliver scalable, secure solutions across the enterprise.

The role combines technical leadership with stakeholder collaboration, driving modernization, workflow orchestration, and AI governance while maintaining strong delivery discipline in a fast-paced environment.

Qualifications

10+ years of enterprise technology experience
Proven leadership of complex technology transformations including modernization and cloud adoption
Deep experience with distributed systems and end-to-end solution design
Ability to lead initiatives from architecture through production readiness
Strong engineering discipline across CI/CD, automation, resiliency, and observability
Experience coordinating across multiple teams without direct reporting authority
Demonstrated people leadership and workforce planning
Budget, vendor, and delivery-prioritization experience
Exposure to cybersecurity, risk, and regulatory requirements
Executive presence to communicate strategy and risks

Responsibilities

Define the technology stack for the solution and evaluate new testing tools
Ensure CI/CD capabilities and efficient pipelines across teams
Provide end-to-end delivery of complex features and automation
Lead design reviews and promote best practices for high performance
Deliver end-to-end solution design and architecture across programs
Research and prototype new tools and components for release management
Collaborate with architects and stakeholders to define high-level needs

Skills

Automation

Influence

Result Orientation

Stakeholder Management

Technical Strategy Development

Application Development

Architecture

Business Acumen

Risk Management

Solution Design

Agile Practices

Analytical Thinking

Collaboration

Data Management

Solution Delivery Process

Education

Bachelor’s degree or equivalent work experience

Tools

CI/CD

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.

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 and leading the engineering approach for complex features to deliver significant business outcomes. Key responsibilities of the job include delivering complex features and technology, enabling development efficiencies, providing technical thought leadership based on conducting multiple software implementations, and applying both depth and breadth in a number of technical competencies. Additionally, this job is accountable for end-to-end solution design and delivery.

We are seeking an experienced Senior Engineer to lead engineering teams responsible for enterprise AI, intelligent automation, digital capture, and document intelligence platforms. This role will help drive the next generation of business automation by leveraging Artificial Intelligence, Intelligent Document Processing, workflow orchestration, and agentic automation to transform how information is captured, processed, and acted upon across the enterprise.

The Senior Engineer is a senior individual contributor responsible for providing end-to-end technical design, engineering, and execution leadership for complex, business-critical technology initiatives. The role provides technical direction across the solution lifecycle and partners with architecture, engineering, product, infrastructure, testing, and business stakeholders to deliver scalable, resilient, secure, and maintainable solutions.

This role combines the end-to-end solution accountability of the Senior Engineer profile with broader technology and stakeholder leadership, without direct people‑management responsibilities. The internal Senior Engineer profile specifically includes technical thought leadership and accountability for end-to-end solution design and delivery.

Responsibilities:

Ensures that the design and engineering approach for complex features are consistent with the larger portfolio solution
Define the technology tool stack for the solution and evaluate and adapt new testing tool/framework/practices for team(s)
Enables team(s)/applications with Continuous Integration/Continuous Development (CI/CD) capabilities and engages with other technical stakeholders pertaining to efficient functioning of CI-CD pipeline
Guides and influences team(s) on design and best practices for high code performance –e.g. pairing, code reviews
Provides end-to-end delivery of complex features, including automation, for either a single team or multiple teams, at the program level
Conducts research, design prototyping and other exploration activities such as evaluating new toolsets and components for release management, CI/CD, and features
Works with stakeholders to establish high-level solution needs and with architects for technical requirements

Required Qualifications:

10+ years of enterprise technology experience, ideally supporting large-scale, high-volume, mission-critical platforms.
Proven leadership of complex technology transformations, including modernization, cloud/container adoption, automation, and platform simplification.
Deep experience with distributed systems, enterprise integrations, application architecture, and end-to-end solution design.
Ability to lead initiatives from architecture and detailed design through development, integration, testing, deployment, and production readiness.
Strong engineering discipline across CI/CD, automation, design reviews, resiliency, observability, performance, and operational stability.
Experience influencing multiple engineering and architecture teams without direct reporting authority, while coordinating dependencies across infrastructure, testing, security, risk, and business teams.
Demonstrated people leadership, including building engineering teams, talent development, succession planning, mentoring, and workforce planning.
Strong budget, vendor, resource, and delivery-prioritization experience.
Significant exposure to technology risk, cybersecurity, audit, compliance, vulnerability remediation, and regulatory requirements.
Executive presence with the ability to communicate technology strategy, investment priorities, risks, dependencies, and trade-offs to senior business and technology leaders.

Preferred Qualifications:

Experience leading enterprise AI, Intelligent Automation, Intelligent Document Processing (IDP), or advanced workflow platforms.
Strong understanding of Generative AI, Agentic AI, Machine Learning, RAG, Semantic Search, and AI governance frameworks.
Experience with enterprise workflow orchestration, business process automation, API‑driven platforms, and cloud‑native architecture.
Knowledge of modern engineering practices including Agile, DevSecOps, Site Reliability Engineering (SRE), CI/CD, platform engineering, and infrastructure automation.
Experience leading large‑scale modernization programs involving legacy platform transformation and adoption of emerging technologies.

Skills: