Data Engineer III GBS IND
Bank of America · Chennai, India; Hyderabad, India; Mumbai, India
Skills in this posting
The posting
About Us
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!
Global Business Services
Global Business Services delivers Technology and Operations capabilities to Lines of Business and Staff Support Functions of Bank of America through a centrally managed, globally integrated delivery model and globally resilient operations.
Global Business Services is recognized for flawless execution, sound risk management, operational resiliency, operational excellence and innovation.
In India, we are present in five locations and operate as BA Continuum India Private Limited (BACI), a non-banking subsidiary of Bank of America Corporation and the operating company for India operations of Global Business Services.
Process Overview
Global Information Security (GIS) - CST - DEA - MDT (Model Development Team) focuses on building end-to-end AI/ML/Gen AI based cybersecurity models and supporting third-party security vendor integrations.
Core responsibilities include maintaining an innovative development backlog to protect the bank from cyber threats, preparing comprehensive model documentation to meet regulatory compliance and governance requirements, and collaborating with GIS LOB partners and external vendors to support diverse internal and vendor-based models.
Job Description
Key individual contributor responsible for supporting the design, evaluation, and governance of advanced technology solutions across information security, data analytics, and Generative AI domains.
Apply deep analytical expertise and business understanding to assess system behavior, validate model outcomes, and ensure solutions align with enterprise standards, regulatory expectations, and risk management frameworks.
Contributes to the lifecycle of AI/ML and Generative AI solutions, including use case evaluation, implementation oversight, and ongoing performance monitoring. Ensure that deployed solutions remain effective, explainable, and fit for purpose while safeguarding organizational assets.
Responsibilities
Support the assessment, validation, and governance of AI/ML and Generative AI use cases, ensuring alignment with business objectives and enterprise risk standards.
Evaluate model and system changes to determine impact on performance, outputs, and intended use, ensuring consistency with approved implementations.
Analyze system outputs, patterns, and trends to identify deviations, validate expected behavior, and support performance optimization.
Contributes to the design and review of thresholds, guardrails, and control mechanisms to balance effectiveness, risk coverage, and operational efficiency.
Participate in the development and implementation of standards, procedures, and governance frameworks for AI/ML/ Generative AI, and information security solutions.
Collaborate with cross-functional teams including technology, risk, and business stakeholders to ensure responsible and secure adoption of AI-driven capabilities.
Support documentation of use cases, model changes, assumptions, and validation outcomes in line with audit and compliance requirements.
Provide analytical insights to support decision-making and continuous improvement of AI/ML/Gen AI security models.
Education : B.Tech/B.E/M.B.A/ M.E. / M Tech / M.S/M.B.A
Certification If Any
Experience: 8 to 10 years
Foundational skills
Strong analytical, problem-solving, and critical thinking capabilities
Understanding of AI/ML concepts and emerging Generative AI technologies (for example LLMs, Agentic AI, prompt design, embeddings, and retrieval frameworks)
Familiarity with model governance, validation practices, and responsible AI principles
Knowledge of information security fundamentals and risk management concepts
Ability to interpret model outputs and translate findings into actionable insights
Strong communication skills to articulate technical concepts to diverse audiences
Ability to work independently and manage multiple priorities
Good experience in model development, with exposure to AI/ML/Gen AI, analytics, and cybersecurity domains
Desired skills
Exposure to AI/ML/Gen AI implementation frameworks, use case evaluation, or AI governance processes
Familiarity with enterprise tools and platforms used for analytics, monitoring, and model deployment
Understanding of ethical AI considerations, including bias, explainability, and transparency
Proactive mindset with willingness to learn and adapt to evolving technologies
Work Timings: 12:00 PM - 9:00PM (IST)
Job Location: Gurugram/Hyderabad/Chennai/Mumbai
The PivotHop read
- What a data engineer actually earnsmedian, seniority, by country
- Data Engineer career changes, measuredevery measured route out
- Data Architect → Data Engineer47% readiness
- Data Analyst → Data Engineer30% readiness
- All open data engineer rolesthe full board
Where these skills also reach
- 114 open data architect roles84% readiness from data engineer
- 714 open data analyst roles62% readiness from data engineer
- 75 open database administrator roles62% readiness from data engineer
- 1516 open solutions architect roles54% readiness from data engineer
More data engineer roles
- Senior Analytics Engineer at MonzoreferralsGermanyTodayApply
Founding Data Engineer at MeetdavisParisTodayApply
Big Data Engineer at OdasevaParisTodayApply
Junior Data Engineer (Databricks) (m/w/d) at Collaboration Betters The World GmbHStuttgartTodayApply- Data Engineer (f/m/d) at Good Hood GmbH / nebenan.deBerlinTodayApply
Backfilled listing, refreshed with the nightly scrape; the employer has not claimed it yet. Are you the employer? Claim this listing and it can be featured to the candidates whose skills already reach it, first month free.