Technical Consultant

HCLTech

Dadri

On-site

INR 1,500,000 - 2,000,000

Full time

14 days+

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Job summary

A leading technology company in India is seeking a Platform Engineer III to implement and operationalize Responsible AI governance frameworks. This mid-senior level position involves integrating governance controls within AI/ML platforms and ensuring compliance with global standards. The ideal candidate should have a strong understanding of the AI lifecycle, data governance, and risk management, along with familiarity with major cloud platforms and AI governance frameworks. A certification in Gen AI or related fields is preferred. Full-time employment in Information Technology sector.

Qualifications

Strong understanding of the AI lifecycle and compliance.
Familiarity with cloud and ML platforms.
Knowledge of security and compliance frameworks.
Experience with AI governance platforms.

Responsibilities

Implement Responsible AI governance frameworks.
Integrate governance controls within AI/ML platforms.
Ensure adherence to global regulatory standards.
Conduct risk evaluations and deliver training programs.

Skills

AI/ML development

Data governance

Risk management

Compliance

Azure AI

AWS SageMaker

Google Vertex AI

GDPR

CCPA

NIS2

Cybersecurity best practices

AI governance platforms

Bias detection

Auditability

Adversarial risk assessment

Education

Certification in Gen AI/Agentic AI/related field

Job description

The Platform Engineer III (AI Governance & Risk Engineer) is responsible for implementing and operationalizing Responsible AI governance frameworks across the AI lifecycle to ensure compliance, transparency, and ethical integrity of AI systems. The role focuses on integrating governance controls within AI/ML platforms, assessing and mitigating AI-related risks, and ensuring adherence to global regulatory standards. As a client-facing position, the incumbent collaborates with cross-functional teams and client stakeholders to establish trustworthy AI practices, conduct risk evaluations, and deliver Responsible AI training programs that promote sustainable and compliant AI adoption.

Responsibilities

Strong Understanding of the AI lifecycle, including AI/ML development, data governance, risk management, and compliance.
Exposure to cloud and ML platforms such as Azure AI, AWS SageMaker, and Google Vertex AI.
Understanding 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.
A solid understanding of AI Red Teaming techniques, resilience validation, and adversarial risk assessment is expected to uphold Responsible AI standards.