Platform Engineer, AI Risk Management

Job Purpose: 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.

Preferred Certifications: Certification in Gen AI/Agentic AI/related field will be an advantage.