Bank of America is looking to build the next generation of Gen AI platform, empowering new AI initiatives across Consumer, Small Business, Global Banking, and Wealth organizations, and is seeking an experienced professional to contribute to this critical platform.
Requirements
- 10+ years strong experience designing and delivering AI, ML, Data platform, and advanced analytics platforms capabilities using open-source technologies in large enterprise environment
- Experience with emerging technologies e.g. of GenAI (public and open source), MCP, Agents, AI BI etc.
- Hands-on experience on data science, big data, cloud, governance technologies
- Experience architecting next generation AI analytical product delivery to all levels of users in organization using self-service interfaces
- Proven track record in data, analytics, insight and AI/ML platforms supporting multiple business units
- Experience in designing, developing, and maintaining software frameworks using Open-Source technologies such as Python, Spark, Jupyter, FastAPI, LabelStud.io, Ragas etc.
- Strong working experience of how metadata management, semantic layers, labeling, annotations is important for enabling AI BI, MCP, Agents, Data Assistants etc.
Responsibilities
- Assembles large, complex data sets that meet functional and non-functional requirements, ensuring that the design and engineering approach is consistent across multiple systems
- Maintains, improves, cleans, and manipulates large data for operational and analytics data systems, builds complex processes supporting data transformation, data structures, metadata, data quality controls, dependency, and workload management, and communicates required information for deployment, maintenance, and support of business functionality
- Utilizes multiple architectural components in the design and development of client requirements and collaborates with development teams to understand data requirements and ensure the data architecture is feasible to implement
- Defines and builds data pipelines to enable data-informed decision making, ensuring adherence to release processes and risk management routines
- Contributes to existing test suites including integration, regression, and performance, analyzes test reports, identifies any test issues and errors, and leads triage of underlying causes
- Leads the identification of gaps in data management standards adherence and works with appropriate partners to develop plans to close gaps, leading concept testing and conducting research to prototype toolsets and improve existing processes
- Mentors Data Engineers in the delivery and release of continuous integration and continuous delivery events and defines key performance indicators and internal controls
Other
- Proficient written and verbal communication skills to support and shape the platform and clearly articulate technical designs and concepts; and to communicate effectively with all levels within the organization
- Manage multiple priorities, and simultaneously engage with multiple teams worldwide
- Coach and mentor team members
- 40 hours per week
- 1st shift (United States of America)
- Bachelor's degree or higher (not explicitly mentioned but implied as a general requirement for the company)
