Senior Data Engineer - ai/bi Analytics

Senior Data Engineer-AI/BI Analytics

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 design, build, and serve the Gen AI inferencing capabilities. 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.

Responsibilities include:

• Assembling large, complex data sets that meet functional and non-functional requirements.
• Maintaining, improving, cleaning, and manipulating large data for operational and analytics data systems.
• Utilizing multiple architectural components in the design and development of client requirements.
• Defining and building data pipelines to enable data-informed decision making.
• Contributing to existing test suites including integration, regression, and performance.
• Leading the identification of gaps in data management standards adherence.
• Mentoring Data Engineers in the delivery and release of continuous integration and continuous delivery events.
• Ensuring that the design and engineering approach for complex features are consistent with the larger portfolio solution.
• Defining the technology tool stack for the solution.
• Enabling team/applications with Continuous Integration/Continuous Development (CI/CD) capabilities.
• Guiding and influencing team/applications on design and best practices for high code performance.
• Providing end-to-end delivery of complex features, including automation.
• Conducting research, design prototyping, and other exploration activities.
• Working with stakeholders to establish high-level solution needs.
• Proficient written and verbal communication skills.
• Designing and executing the implementation plans.
• Managing multiple priorities and engaging with multiple teams worldwide.
• Coaching and mentoring team members.

Required qualifications include:

• 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.
• Experience with using various Open source and Cloud model for AI BI, Summarization etc., and tuning those models and deployment to provide higher throughput for latency and cost optimizations.
• Experience of building RAG with knowledge base, data sources and Vector Store platforms such as Redis, Solar, Postgres DB, FAISS, Teradata, Oracle, SQL Server, Hadoop etc.
• Hands on experienced building RAG, RAG Fusion, CAG etc.
• Experience with various inference metrics, and related monitoring and observability.
• Experience with serving multiple tenants/clients with model endpoints with secure boundaries.
• Experience with AI gateway, OPA, authentication & authorization, policy as code, API based systems Integration, cost management, and model routing.

Desired qualifications:

• Experience developing Gen AI training and RAG platform with open-source model, inferencing & servicing capabilities, MCP modules etc.
• Hands on experience on driving and maintaining a culture of quality, innovation, and experimentation.
• Research on new tools and capabilities for better UI and UX for advanced analytics platform, quick prototype and demonstrate the features and capabilities, and participate on various user forums.

Skills:

• Analytical Thinking
• Application Development
• Data Management
• Risk Management
• Solution Design
• Agile Practices
• Architecture
• Collaboration
• Decision Making
• DevOps Practices
• Business Acumen
• Data Quality Management
• Financial Management
• Solution Delivery Process
• Test Engineering

Shift: 1st shift (United States of America) Hours Per Week: 40

Bank of America and its affiliates consider for employment and hire qualified candidates without regard to race, religious creed, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote the concept of equal employment opportunity, in accordance with all applicable federal, state, provincial and municipal laws. The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our teammates.