Technical Consultant

HCLTech; Dadri; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

A leading IT services company in India is seeking a Platform Engineer III – AI Governance & Risk Engineer. This role involves implementing and operationalizing AI governance frameworks across the AI lifecycle, ensuring compliance and ethical integrity. Candidates should have strong knowledge of AI lifecycle, cloud platforms like Azure, and compliance frameworks such as GDPR. Responsibilities include collaborating with cross-functional teams, evaluating risks, and providing Responsible AI training. This is a full-time position suitable for mid-senior level professionals.

Qualifications

• Strong understanding of the AI lifecycle, including AI/ML development and data governance.
• Experience with cloud and ML platforms such as Azure AI, AWS SageMaker, and Google Vertex AI.
• Knowledge of security and compliance frameworks, including GDPR and cybersecurity best practices.

Responsibilities

• Implement and operationalize Responsible AI governance frameworks.
• Collaborate with teams to evaluate risks and establish trustworthy AI practices.
• Deliver Responsible AI training.

Skills

AI lifecycle understanding

Cloud platforms experience (Azure, AWS, Google)

Knowledge of security frameworks (GDPR, CCPA)

Familiarity with AI governance platforms

Understanding of AI Red Teaming

Education

Certification in Gen AI or related field

Job description

Platform Engineer III – AI Governance & Risk Engineer

Responsible for implementing and operationalizing Responsible AI governance frameworks across the AI lifecycle to ensure compliance, transparency, and ethical integrity of AI systems. Collaborate with cross‑functional teams and client stakeholders to evaluate risks, establish trustworthy AI practices, and deliver Responsible AI training.

Responsibilities

• Strong understanding of the AI lifecycle, including AI/ML development, data governance, risk management, and compliance.
• Experience with cloud and ML platforms such as Azure AI, AWS SageMaker, and Google Vertex AI.
• Knowledge of security and compliance frameworks, including GDPR, CCPA, NIS2, and general cybersecurity best practices.
• Familiarity with AI governance platforms for model validation, bias detection, and auditability.
• Solid understanding of AI Red Teaming techniques, resilience validation, and adversarial risk assessment.

Preferred Certifications

• Certification in Gen AI, Agentic AI or related field.

Employment Details

• Seniority level: Mid‑Senior level
• Employment type: Full‑time
• Industry: IT Services and IT Consulting