Senior Engineer – GenAI Platform Automation

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 impacting 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!

This is a senior platform automation engineering role focused on accelerating enterprise adoption of Generative AI, Data Science, Data Engineering, and Advanced Analytics capabilities across Bank of America. The role will lead automation initiatives that improve developer productivity, platform reliability, operational efficiency, governance, and self‑service adoption across enterprise AI and data platforms.

The successful candidate will be responsible for designing, building, and operationalizing automated platform capabilities spanning infrastructure provisioning, CI/CD, environment management, governance controls, observability, testing, deployment automation, and AI workload enablement. The individual will work closely with platform engineering, cloud engineering, architecture, data science, and business teams to deliver scalable, secure, and resilient automation solutions supporting the full lifecycle of AI and analytics workloads.

This role requires strong expertise in platform automation, cloud‑native technologies, Infrastructure‑as‑Code (IaC), Dev Sec Ops , Generative AI ecosystem tooling, and distributed computing platforms. The ideal candidate combines deep engineering expertise with a passion for automation, operational excellence, and continuous platform innovation.

• Ensure 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).
• Enable team(s)/applications with CI/CD capabilities and engage with other technical stakeholders concerning the efficient functioning of CI/CD pipelines.
• Guide and influence team(s) on design and best practices for high code performance—e.g., pairing, code reviews.
• Provide end‑to‑end delivery of complex features, including automation, for either a single team or multiple teams at the program level.
• Conduct research, design prototyping, and other exploration activities such as evaluating new toolsets and components for release management, CI/CD, and features.
• Work with stakeholders to establish high‑level solution needs and with architects for technical requirements.
• Lead automation initiatives for enterprise GenAI, Data Science, Metadata, Data Quality, Event Streaming, and Analytics platforms.
• Design and implement self‑service automation capabilities that streamline onboarding, environment provisioning, deployment, governance, monitoring, and operational workflows.
• Build automated platform services supporting the complete AI and analytics lifecycle including data preparation,…