Amazon Web Services (AWS), Artificial Intelligence (AI), Cloud Computing, GCP (Good Clinical Practices), Microsoft Windows Azure, Model Validation, Multiplatform/Cross-Platform, Process Modeling, Python Programming/Scripting Language, Risk, Risk Management, Snowflake Schema, Software Engineering
Lead – AI Risk, Governance & Responsible AI
Location: US / Canada (Remote/Hybrid)
Type: Contract / Full-Time
Overview:
We are hiring a Lead for AI Risk & Governance to ensure responsible deployment of AI and GenAI systems across enterprise platforms.
Key Responsibilities:
- Develop and enforce AI governance policies and standards
- Manage AI risk, bias detection, and model validation processes
- Work closely with ML engineers and data teams for compliance integration
- Ensure enterprise-wide adherence to Responsible AI principles
Required Skills:
- Proven experience in AI governance, risk management, or compliance
- Strong understanding of cloud platforms (AWS, Azure, GCP)
- Hands-on experience with AI/ML lifecycle governance
Nice to Have / Coverage:
- Data Engineering platforms: Databricks, Snowflake, Synapse, BigQuery
- ML/AI Engineering: Python, PyTorch, MLOps frameworks
- GenAI: Experience governing LLMs, LangChain, agent-based AI
- Experience working with cloud/data platform architects
For more details reach at resumes@navitassols.com.