Senior Engineer - AI & Intelligent Automation Platforms
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:
- 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
Minimum Education Requirement: Bachelor’s degree or equivalent work experience.
Shift:
1st shift (United States of America)Hours Per Week:
40