Senior AI Governance Engineer — Enterprise Security

Tata Consultancy Services Limited; Oaks (PA); On-site; USD 100,000 - 120,000; Full time

Benefits offered by this job

Discretionary Annual Incentive

Comprehensive Medical Coverage: Health

401K Plan

Certification & Training Reimbursement

Job summary

Tech team at Tata Consultancy Services Limited in Oaks, PA seeks a Senior Engineer to design and operationalize an enterprise AI governance framework. You will translate policies into technical controls, implement guardrails, and drive automated governance workflows across AI lifecycles.

The role emphasizes data security, risk management, and collaboration with Privacy, Legal, and Cybersecurity teams to monitor AI systems and mitigate Shadow AI threats.

Qualifications

• Experience designing, building, or integrating AI/ML governance in enterprise environments.
• Experience translating governance requirements into technical controls and automated workflows.
• Experience implementing guardrails, monitoring, and evidence collection for AI systems.
• Familiarity with AI safety, model risk management, or Responsible AI practices.

Responsibilities

• Design and implement AI governance capabilities across the lifecycle from intake to observability.
• Translate AI policies into technical controls and automated governance workflows.
• Develop reusable governance components embedded into AI development/deployment pipelines.
• Automate standards for evidence collection to support audit and assurance needs.
• Collaborate with Privacy, Legal, Cybersecurity, and other governance bodies to integrate controls.
• Provide enterprise visibility into AI systems and monitor Shadow AI.

Skills

AI governance

Data security

Governance frameworks

Monitoring/observability

Shadow AI management

Databricks

Credo

OneTrust

Education

Bachelor's degree in Computer Science or related

Tools

Databricks

OneTrust

Credo

Job description

Tech team at Tata Consultancy Services Limited in Oaks, PA seeks a Senior Engineer to design and operationalize an enterprise AI governance framework. You will translate policies into technical controls, implement guardrails, and drive automated governance workflows across AI lifecycles.

The role emphasizes data security, risk management, and collaboration with Privacy, Legal, and Cybersecurity teams to monitor AI systems and mitigate Shadow AI threats.