Employment Type: Full time (FTE) Budget: Up to ₹12 LPA (Only 3-4 yrs experience required)

Location:
Bellandur, Bangalore,India Mandatory

Skills:
Strong Python programming for automation, data pipelines, and API integrations; hands-on knowledge of AI/ML and enterprise platforms such as Azure ML, Azure AI Foundry, or Databricks; and understanding of AI Risk & Governance frameworks, particularly NIST AI RMF and the EU AI Act. Work Mode: 4 Days Work from Office Our client is looking for an AI Risk Engineer to support AI governance, Responsible AI reviews, risk assessments, and automation initiatives. The candidate will help assess enterprise AI solutions, implement governance controls, and identify risks associated with machine learning models, generative AI, and AI agents.

Key Responsibilities
• Develop automation scripts, workflows, and tools for AI risk assessments and Responsible AI reviews.
• Configure and maintain AI governance workflows, controls, and risk tracking using platforms such as Credo AI.
• Conduct risk and impact assessments for machine learning models, generative AI, and AI agents.
• Maintain an inventory of AI models, agents, and enterprise AI use cases.
• Evaluate AI solutions and vendors for fairness, security, compliance, and ethical risks.
• Collaborate with Cybersecurity, Legal, Data Privacy,



and technology teams to implement Responsible AI controls.
• Identify and mitigate bias, model drift, and unintended AI outcomes.
• Support governance documentation, review processes, and awareness initiatives. Mandatory Skills – Top 31. Python
• Automation scripts
• Data pipelines
• API integrations 2. AI/ML & Enterprise AI Platforms
• Azure ML
• Azure AI Foundry
• Databricks or similar platforms 3. AI Risk & Governance
• Understanding of AI regulations and governance frameworks
• EU AI Act
• NIST AI Risk Management Framework
• Experience with Generative AI, agentic AI frameworks, and AI agent governance.
• Experience with ML model development and evaluation using Python, scikit-learn, TensorFlow, or PyTorch.
• Familiarity with Credo AI, Power Automate, Azure DevOps, and Responsible AI governance tools. Required Qualifications
• Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.
• 3+ years of experience in AI/ML engineering, data science, analytics, or related roles.
• Understanding of AI ethics, data governance, and enterprise compliance standards such as GDPR, CCPA, NIST, or OECD frameworks.
• Strong analytical, communication, and stakeholder collaboration skills.

📌 AI Risk Engineer (Bengaluru)
🏢 US Based Law Firm
📍 Bengaluru