Data and AI Engineer

Job description

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! Job Description: This job is responsible for driving efforts to develop and deliver complex data solutions to accomplish technology and business goals. Key responsibilities include leading code design and delivery tasks with the integration, cleaning, transformation and control of data in operational and analytical data systems. Job expectations include liaising with vendors and working with stakeholders and Product and Software Engineering teams to implement data requirements, analyzing performance, and researching and troubleshooting issues within system engineering domains. Overview: We are seeking a Data and AI Engineer with 7+ years of experience in Oracle and SQL Server database development, data engineering, and ETL solutions. The ideal candidate combines a strong traditional data engineering foundation with the ability to work across Python, backend APIs, retrieval and search technologies, and AI integration. This role will design, develop, optimize, and support enterprise-scale data platforms while collaborating with Business Analysts, UI teams, and Production Support teams. The position requires expertise in Oracle, SQL Server, Python, SSIS, Autosys, database architecture, performance tuning, and AI-assisted development tools such as Microsoft Copilot and GitHub Copilot. Responsibilities: Leads story refinement and delivery of requirements through the delivery lifecycle and assists team members in resolving technical complexities Codes complex solutions to integrate, clean, transform, and control data, builds processes supporting data transformation, data structures, metadata, data quality controls, dependency, and workload management, assembles complex data sets, and communicates required information for deployment Leads documentation of system requirements, collaborates with development teams to understand data requirements and feasibility, and leverages architectural components to develop client requirements Leads testing teams to develop test plans, contributes to existing test suites including integration, regression, and performance, analyzes test reports, identifies test issues and errors, and leads triage of underlying causes Leads work efforts with technology partners and stakeholders to close gaps in data management standards adherence, negotiates paths forward by thinking outside the box to identify and communicate solutions to complex problems, and leverages knowledge of information systems, techniques, and processes Leads complex information technology projects to ensure on-time delivery and adherence to release processes and risk management and defines and builds data pipelines to enable data-informed decision making Mentors Data Engineers to enable continuous development and monitors key performance indicators and internal controls Design, develop, and maintain Oracle and SQL Server database solutions Create and optimize database objects including tables, indexes, views, stored procedures, functions, and triggers Develop complex SQL, PL/SQL, and T-SQL queries for reporting, analytics, and operational workloads Design and implement ETL processes using SSIS, Python, and related technologies Build Python-based backend services and APIs, ideally using FastAPI or a similar framework, to support data and AI integrations Design and integrate retrieval solutions using LLMs, retrieval-augmented generation (RAG), embeddings, vector stores, vector search, and hybrid search Understand how embeddings are generated, stored, indexed, and retrieved across platforms such as Elasticsearch or similar search technologies Contribute to agentic workflows and orchestration patterns using frameworks such as LangChain and LangGraph, where applicable Help productionize AI solutions through effective testing, observability, security, governance, deployment, and operational support practices Automate and schedule data processing jobs using Autosys and other workflow orchestration tools Required Qualifications: 7+ years of experience in Oracle and SQL Server database development Strong expertise in SQL, PL/SQL, and T-SQL Experience with database architecture and logical and physical data modeling Hands-on experience with SSIS and ETL development Strong Python development skills, including automation and backend/API development; FastAPI or similar framework experience is highly desirable Hands-on understanding of LLMs, RAG, embeddings, vector stores and search, and hybrid search Understanding of how embeddings are generated, stored, indexed, and retrieved for AI-enabled data solutions Working knowledge of AI productionization practices, including testing, observability, security, governance, and operational readiness Experience with Autosys job scheduling and workflow management Expertise in database design, schema creation, stored procedures, functions, views, and indexing Strong experience in SQL query optimization, performance tuning, and troubleshooting Experience supporting production deployments and application releases Excellent communication, problem-solving, and documentation skills Experience working in Agile/Scrum environments Desired Qualifications: Exposure to agentic workflows and frameworks such as LangChain and LangGraph Experience with Elasticsearch or another platform supporting vector and hybrid search patterns Experience with Apache Airflow for workflow orchestration and data pipeline scheduling Knowledge of MongoDB or other NoSQL databases Experience with CI/CD tools such as Jenkins Experience with Git, Bitbucket, JIRA, and Confluence Experience with cloud-based data platforms and modern data engineering practices Experience in financial services or large enterprise environments Skills: Analytical Thinking Application Development Data Management DevOps Practices Solution Design Agile Practices Collaboration Decision Making Risk Management Test Engineering Architecture Business Acumen Data Quality Management Financial Management Solution Delivery Process Shift: 1st shift (United States of America) Hours Per Week: 40 Pay Transparency details US - NJ - Pennington - 1300 American Blvd - Hopewell Bldg 3 (NJ2130) Pay and benefits information Pay range $104,000.00 - $157,700.00 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.