Senior AI/ML Data Engineer - Gen AI & Security

Bank of America; Indiana; On-site; USD 26,000 - 47,000; Full time

Job summary

Bank of America seeks a senior contributor for Global Information Security to govern AI/ML and Generative AI initiatives in line with enterprise standards and regulatory requirements. You will evaluate models, monitor performance, and ensure transparent, secure deployment across security domains.

You will partner with technology, risk, and business teams to balance innovation with risk, maintaining governance artifacts and driving ongoing model validation and improvement.

Qualifications

• Strong analytical and problem-solving skills required.
• Knowledge of AI/ML concepts and Generative AI.
• Familiarity with model governance and responsible AI principles.
• Understanding of information security fundamentals and risk management.

Responsibilities

• Support the governance and evaluation of AI/ML and Generative AI use cases.
• Assess model changes for impact on performance and risk.
• Analyze outputs to identify deviations and support optimization.
• Contribute to thresholds, guardrails, and control mechanisms.
• Develop and implement governance frameworks for AI and security solutions.
• Collaborate with technology, risk, and business teams to ensure secure AI adoption.
• Document use cases, model changes, assumptions, and validation outcomes for audits.

Skills

Analytical thinking

AI/ML concepts

Governance

Info security basics

Model interpretation

Communication

Independent work

Education

B.Tech/B.E./M.B.A./M.E./M.Tech/M.S./MBA

Tools

None

Job description

Bank of America seeks a senior contributor for Global Information Security to govern AI/ML and Generative AI initiatives in line with enterprise standards and regulatory requirements. You will evaluate models, monitor performance, and ensure transparent, secure deployment across security domains.

You will partner with technology, risk, and business teams to balance innovation with risk, maintaining governance artifacts and driving ongoing model validation and improvement.