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 is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.

Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.

At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!
 

Participates in the development and maintenance of a business and system architecture and conducts business information flow studies. Provides integrated systems planning and recommends new or different technologies that will enhance current systems and support overall corporate and business goals. Conducts system architecture studies of new and existing IT systems to permit development of integrated systems that operate at low cost levels. Recommends the appropriate computer platform, work stations and communication linkage required to support distributed and client server business processes and information flows. Interfaces with business areas to ensure all initiatives support business strategies and goals. Serves as a fully seasoned/proficient technical resource; routine accountability is for technical knowledge and capabilities as a team member or as an individual contributor. Will not have direct reports but will influence and direct activities of a team related to special initiatives or operations. Provides input on staffing, budget and personnel. Typically 7-10 years of systems experience.

Position Summary:

Join a groundbreaking team at Bank of America, at the forefront of innovation in AI.  We are building the next generation of Gen AI platform, empowering new AI initiatives across Consumer, Small Business, Global Banking, and Wealth organizations. This is a unique opportunity to contribute to a critical platform that will enable secure, scalable, and high-performance AI capabilities across the organization. We value curiosity, collaboration, and a passion for pushing the boundaries of what’s possible with AI.

This position is focused on leadership, technical direction, and oversight to multiple initiatives delivering Gen AI technology capabilities and solutions. Key responsibilities of the role include developing solutions and processes for multiple organizations based on their design/architectural/Agile/DevOps practices.

Job responsibilities:

• Ensures that the design and engineering approach for complex features are consistent with the larger portfolio solution. Accountable for the availability, stability, scalability, security, and recoverability enabled by the designs.
• Enables teams/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 teams 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.
• Collaborate with product teams, data analysts and data scientists to design and build solutions.
• Design and execute the implementation plans to both move forward strategically, while at the same time ensuring the current technology stack is supporting current needs.
• Manage multiple priorities, and simultaneously engage with multiple teams worldwide.

• Be vocal and actively participate in all session with business stakeholders and agile teams.
• Manage next generation of architectural decision for advanced analytics platform, create strategy, roadmaps, present to tech and non-tech leaders.

• Coach and mentor team members.

Required Qualifications

• Bachelor’s or master’s degree in computer science or engineering or related field
• 8+ years of experience in platform development, architecture, and strategy for data science, modeling, advanced analytics, and Gen AI.
• Experience building E2E analytics platform focusing on self-service for as Data science, Big Data platform, Analytics etc.- Experience building E2E ML pipelines: Data prep, Model Build, training models, Deployment, Scoring, Monitoring and Optimization
• Experience working with technical and line of business users to gather the requirements, writing BRD for building platform, brainstorm with different set of tech and non-tech audience, document the details with conceptual diagrams, validate the tech feasibilities of capabilities by researching and working with tech teams, architects, and engineers.
• Reviews technical designs to ensure that they are consistent with defined architecture principles, standards, and best practices. Own technical decisions for the solution and application developers in the creation of architectural decisions and artifacts. Ability to clearly communicate with team & stakeholders.
• Collaborate with product teams, data analysts and data scientists to design and build solutions.
• Manage next generation of architectural decision for advanced analytics platform, create strategy, roadmaps, present to tech and non-tech leaders.
• Strong understanding of modern open-source data science platform architecture for storage & compute separation, interactive development workbenches, virtual environments, containers, and toolsets.
• Hands on experience on implementing CI/CD and automation using the Atlassian ecosystem.
• Knowledge of metadata management, data lineage, and principles of data governance
• Experience designing and building full stack solutions utilizing distributed computing architecture.
• Design and build and deploy streaming and batch data pipelines capable of processing and storing large datasets quickly and reliably using Kafka, Spark and YARN

Desired Qualifications

• Experience developing and delivering AI/ML, data, and analytics platform capabilities with open-source technologies, focusing on Gen AI – model serving, RAG frameworks, AI BI, MCP modules for enterprise data systems.

Shift:

1st shift (United States of America)

Hours Per Week: 

40