Senior AI Control and Governance Engineer

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

Benefits offered by this job

Discretionary Annual Incentive

Comprehensive Medical Coverage

Parental Leaves

Identity Theft Protection

Commuter Benefits & Certification Reim

Job summary

Tata Consultancy Services is seeking an AI Governance specialist to design and implement enterprise governance across the AI lifecycle. You will translate policies into technical controls and automated workflows, aligning with regulatory expectations.

The role requires experience with governance platforms (Credo, OneTrust), Databricks, and risk-based classification of AI use cases, across multi-jurisdiction environments.

Qualifications

• Experience designing or integrating AI/ML systems in enterprise environments.
• Experience with data security, privacy, or cybersecurity controls.
• Translate governance and risk requirements into technical controls and workflows.
• Implement guardrails and standards for complex systems (policies, access control, audit logs).
• Design and operate an enterprise AI Governance Framework across lifecycle.
• Develop reusable governance components for AI workflows.
• Establish AI use-case taxonomies and risk classifications.
• Implement monitoring/observability for AI systems, including Shadow AI.
• Experience with Credo and OneTrust governance platforms.
• Experience with AI/data platforms like Databricks.
• Knowledge of international AI governance and EU AI Act alignment.
• Model risk management and Responsible AI practices.
• Experience in regulated industries (defense, healthcare, financial).

Responsibilities

• Design capabilities supporting the AI Governance Framework across lifecycle.
• Translate AI policies into technical controls and automated workflows.
• Develop mechanisms to register, classify, and assess AI use cases.
• Establish governance patterns and reusable components for pipelines.
• Automate evidence collection and documentation for audits.
• Define guardrails for AI systems and access safeguards.
• Collaborate with Privacy, Legal, Cybersecurity to integrate controls.
• Scale capabilities for enterprise visibility into AI systems.
• Implement ongoing monitoring and observability for AI systems.
• Contribute to continuous improvement of AI governance practices.

Skills

AI governance

Data security

Governance & compliance

Guardrails & controls

AI lifecycle governance

Reusable governance components

Taxonomies & classifications

Monitoring & observability

GRC platforms experience

Databricks experience

International AI governance

EU AI Act alignment

Model risk management

Responsible AI practices

Regulated industries experience

Education

Bachelor of Computer Science

Tools

Credo

OneTrust

Databricks

Job description

Job Description

Must Have Technical/Functional Skills

• Experience designing, building, or integrating AI/ML systems or data-driven applications in an enterprise environment.
• Experience with data security, privacy, cybersecurity, or related control environments.
• Demonstrated experience translating governance, risk, or compliance requirements into technical controls, automated workflows, or monitoring/observability solutions.
• Hands-on experience implementing technical guardrails or standards for complex systems (e.g., service-level policies, access control, audit logging, monitoring, or approvals).
• Experience designing, implementing, or operationalizing an enterprise AI Governance Framework across the full lifecycle (intake, registration, classification, risk assessment, monitoring, observability).
• Experience developing reusable governance components (e.g., templates, SDKs, APIs, pipelines, policies-as-code) that can be embedded into AI development and deployment workflows.
• Experience establishing common taxonomies and classification schemes for AI or data use cases, including risk categorization and tiering.
• Experience implementing ongoing monitoring and observability for AI systems, including detection and management of Shadow AI and unapproved tools.
• Experience with enterprise governance, risk, and compliance platforms, specifically:Credo,OneTrust
• Experience with AI and data platforms and tooling such as Databricks
• Experience with international AI governance, including:
• Emerging AI regulations (e.g., elements aligned with the EU AI Act or other international frameworks)
• Operating AI governance in multi-jurisdiction, global environments
• Familiarity with AI safety, model risk management, or Responsible AI practices (e.g., fairness, transparency, accountability, robustness).
• Experience in large, complex, and/or highly regulated industries (e.g., defense, aerospace, financial services, healthcare).

Roles & Responsibilities

• Design and implement technical capabilities that support the AI Governance Framework throughout the AI lifecycle, from intake and registration through monitoring and observability.
• Translate AI policies, standards, and requirements into technical controls and automated governance workflows.
• Develop mechanisms and tooling to identify, register, classify, and assess AI use cases, and drive a common taxonomy for evaluation across the enterprise.
• Establish governance patterns for AI capabilities and develop reusable governance components that can be embedded into AI development and deployment pipelines.
• Automate and define standards for evidence collection and documentation to support governance, audit, and assurance needs.
• Design and implement technical guardrails and best practices for AI systems, including usage constraints, access patterns, and safeguards.
• Partner with Privacy, Legal, Cybersecurity, Global Supply Chain, and other governance bodies to integrate existing enterprise controls into AI systems and workflows.
• Develop or scale capabilities that provide enterprise visibility into AI systems and their lifecycle, including the detection and management of Shadow AI.
• Implement mechanisms for ongoing monitoring and observability of AI systems rather than relying solely on point-in-time assessments.
• Contribute to the continuous improv ement of AI governance practices, patterns, and tooling across the organization

TCS Employee Benefits Summary

• Discretionary Annual Incentive.
• Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
• Family Support: Maternal & Parental Leaves.
• Insurance Options: Auto & Home Insurance, Identity Theft Protection.
• Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
• Time Off: Vacation, Time Off, Sick Leave & Holidays.
• Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
• Salary Range $100,000 - $120,000 a year

Qualifications

BACHELOR OF COMPUTER SCIENCE