Back to search results Senior Engineer - GenAI Platform Automation Addison, Texas; Pennington, New Jersey; Charlotte, North Carolina Additional locations Apply × To proceed with your application, you must be at least 18 years of age. Acknowledge × Bank of America employees are required to meet all posting eligibility requirements prior to applying for any new position. Acknowledge Refer a friend Apply × To proceed with your application, you must be at least 18 years of age. Acknowledge × Bank of America employees are required to meet all posting eligibility requirements prior to applying for any new position. Acknowledge 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: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), DevSecOps, 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 innovationThis 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.Responsibilities:Ensures that the design and engineering approach for complex features are consistent with the larger portfolio solutionDefine 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 pipelineGuides and influences team(s) on design and best practices for high code performance -e.g. pairing, code reviewsProvides end-to-end delivery of complex features, including automation, for either a single team or multiple teams, at the program levelConducts research, design prototyping and other exploration activities such as evaluating new toolsets and components for release management, CI/CD, and featuresWorks with stakeholders to establish high-level solution needs and with architects for technical requirementsLead 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, experimentation, model training, deployment, inferencing, observability, and lifecycle management.Develop Infrastructure-as-Code (IaC) solutions using Terraform and related automation frameworks to enable repeatable, scalable, and compliant infrastructure deployments.Design and implement enterprise CI/CD pipelines, automated testing frameworks, deployment automation, and release management processes using Atlassian and related DevOps toolchains.Partner with platform engineering and cloud teams to automate Kubernetes, container, serverless, and distributed computing environments.Build automation solutions supporting agentic AI applications, MCP-enabled services, event-driven architectures, and enterprise AI workflows.Drive operational excellence through platform monitoring, observability, automated remediation, performance optimization, and reliability engineering practices.Collaborate with architecture, engineering, governance, security, and business stakeholders to ensure platforms meet enterprise standards and compliance requirements.Conduct technical design reviews, automation assessments, code reviews, and establish engineering best practices across teams.Provide technical leadership, mentorship, and guidance to engineering teams adopting automation-first development and operational practices.Support key business initiatives including Consumer AML Analytics and other strategic AI platform adoption efforts.Required QualificationsBachelor's or Master's degree in Computer Science, Engineering, Information Technology, or job related field required .10+ years of hands-on experience in platform engineering, automation engineering, cloud engineering, DevOps, or large-scale distributed systems.Proven experience building self-service enterprise platforms supporting AI/ML, Data Science, Data Engineering, and advanced analytics workloads.Strong expertise in automation frameworks, DevOps methodologies, CI/CD pipelines, Infrastructure-as-Code, and software delivery lifecycle automation.Deep understanding of modern open-source Generative AI and Data Science platform architectures including storage and compute separation, interactive development environments, virtual environments, containers, Jupyter, VSCode, and developer productivity tooling.Hands-on experience implementing enterprise CI/CD automation using Atlassian ecosystem tools including Bitbucket, Bamboo, Jira, and Confluence.Experience designing and implementing Infrastructure-as-Code solutions using Terraform and cloud-native automation frameworks.Strong understanding of metadata management, data lineage, governance frameworks, and semantic layer concepts supporting enterprise AI and data platforms.Experience building scalable cloud-native solutions utilizing distributed computing architectures and modern platform engineering principles.Experience automating deployments and operations for Kubernetes, containerized, YARN, serverless, and distributed processing environments.Experience designing and supporting event-driven architectures leveraging technologies such as Kafka and streaming data platforms.Working knowledge of agentic AI architectures, MCP frameworks, API integrations, workflow automation, and enterprise AI enablement platforms.Strong Python development experience for automation, orchestration, scripting, tooling, and operational engineering use cases.Knowledge of cloud engineering principles including networking, infrastructure management, security, resilience, scalability, and cost optimization.Experience implementing observability frameworks including logging, monitoring, tracing, alerting, automation, and operational dashboards.Ability to communicate effectively with engineers, architects, product owners, and business stakeholders across varyingDesired QualificationsExperience supporting enterprise Generative AI platforms, AI governance frameworks, model management, and AI operationalization initiatives.Knowledge of AML, financial crime, risk analytics, fraud detection, or banking domain platforms.Experience building platform automation for data governance, data quality, metadata management, and model lifecycle management.Experience implementing GitOps, DevSecOps, Reliability Engineering (RE), and platform engineering best practices.Familiarity with large-scale cloud environments and enterprise data platforms.Experience creating reusable developer platforms, internal engineering tools, and self-service automation capabilities at enterprise scaleSkills:AutomationInfluenceResult OrientationStakeholder ManagementTechnical Strategy DevelopmentApplication DevelopmentArchitectureBusiness AcumenRisk ManagementSolution DesignAgile PracticesAnalytical ThinkingCollaborationData ManagementSolution Delivery ProcessShift:1st shift (United States of America)Hours Per Week: 40 Learn more about this role View transcript Close transcript [Music in background throughout] On screen copy: Bank of America logo Software Engineer Software Engineer: At Bank of America, the code I write every day helps keep our systems running for millions of people. [Software Engineer writing code at his desk] As a Software Engineer, I feel like I'm on the front lines of creating what the enterprise needs to compete in the digital space - from trading apps to market systems to backend services. [Mobile banking app screens shown] That means writing code, working with the team and solving problems together. [Software Engineer working with colleagues in a meeting room] I'm part of Strategic Data Initiatives, using modern development practices, state-of-the-art frameworks, and cloud-native services to build what the business needs. The key is collaboration; whether I'm working with product managers, quality assurance, or teaming up with other designers. [Software Engineer moving sticky notes on a kanban board] From legacy systems to performance tuning, it's like our team is tackling a jigsaw puzzle, and I can take real ownership of my pieces, even when there's more than one way forward. I've got full support from mentors and leadership, which helps me develop as an engineer while gaining expertise in new tech. On screen copy: Skill Growth Career Mobility Best of all, as my skills grow, so do the opportunities to move to new teams and take on bigger responsibilities. [Software Engineer shakes hands with supervisor] And through our day-to-day practices and retrospectives, I have a chance to be part of a group that becomes more collaborative and impactful with each shared win. Plus, I'm given what I need to feel valued, with flexible work schedules, learning stipends, and programs that let me prioritize my health and wellness. On screen copy: Build relationships Build communities Build careers We all have goals. Pursue yours at Bank of America. I'm proud to be part of a team that's building the future of banking - one line of code at a time. We all have goals. Pursue yours at Bank of America. Narrator: What would you like the power to do? Bank of America. On screen copy: What would you like the power to do? Bank of America logo Learn more at careers.bankofamerica.com On screen disclosure: EOE disability/veteran. 2025 Bank of America Corporation. All rights reserved. MAP 8651837 Expiration Date: 06/05/2027 [End of transcript] Apply × To proceed with your application, you must be at least 18 years of age. Acknowledge × Bank of America employees are required to meet all posting eligibility requirements prior to applying for any new position. Acknowledge Refer a friend Apply × To proceed with your application, you must be at least 18 years of age. Acknowledge × Bank of America employees are required to meet all posting eligibility requirements prior to applying for any new position. Acknowledge Full time JR-26024386 Manages People: No Travel: Yes, 5% of the time Age requirement: Must at least be 18 years of age. New Jersey pay and benefits information New Jersey pay range: $122,000.00 - $200,000.00 annualized salary, offers to be determined based on experience, education and skill set. Discretionary incentive eligible This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company. Benefits This role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve Share: Save job Job saved