Sr. AI Governance Specialist

Genesys

5 - 10 years

13 - 17 Lacs

hyderabad chennai bengaluru

Posted:1 month ago| Platform:

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Skills Required

risk management employee relations training policy development artificial intelligence employee engagement computer science data science recruitment compliance regulations data governance data privacy performance management communication skills

Work Mode

Work from Office

Job Type

Full Time

Job Description

Define and implement AI governance frameworks, building on existing enterprise data governance policies.
Establish guidelines and controls for responsible AI development, deployment, and monitoring (e.g., fairness, transparency, accountability).
Drive adoption of compliance and privacy standards in AI initiatives (GDPR, CCPA, HIPAA, and industry-specific regulations).
Develop policies for data usage, model training, knowledge orchestration, and LLM customization to ensure compliance and ethical use.
Implement frameworks for AI audits, monitoring, and explainability to meet regulatory and enterprise needs.
Partner with security and compliance teams to integrate privacy and security into AI workflows.
Maintain awareness of emerging regulations and industry best practices for AI governance.
Collaborate with AI platform engineers and data scientists to embed governance into AI workflows (model lifecycle, data usage, RAG services).
Work with application teams to ensure AI solutions meet enterprise governance and compliance requirements before deployment.
Provide training and guidance for business and technical teams on responsible AI practices and governance standards.
Define and track key governance metrics (e.g., model transparency, compliance adherence, bias detection, audit readiness).
Support the development of certification and approval processes for AI models and services.

Qualifications:

Required

Bachelor s degree in Data Science, Computer Science, Information Systems, Law, or a related field.
5+ years of experience in data governance, compliance, or risk management, with exposure to AI/ML systems.
Strong knowledge of data privacy and compliance regulations (GDPR, CCPA, HIPAA, SOC2, etc.).
Familiarity with AI/ML concepts (model lifecycle, training data, embeddings, vector stores, RAG).
Proven experience working with governance frameworks in enterprise settings.
Excellent communication skills to articulate governance requirements to both technical and non-technical stakeholders.

Preferred

Prior experience in AI governance, responsible AI, or ethical AI initiatives.
Understanding of explainable AI (XAI), bias detection, and model interpretability frameworks.
Familiarity with MLOps and data governance tooling (e.g., Collibra, Alation, Immuta, MLflow, Model Cards).
Experience partnering with legal, compliance, and audit teams in highly regulated industries.
Strong track record of policy development and adoption in complex enterprises.

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