AI Risk Engineer

Key Responsibilities

• Build, maintain, and enhance automation scripts, workflows, and tools supporting AI impact assessments and Responsible AI reviews.
• Configure and maintain AI governance platforms, including risk scenarios, controls, review workflows, and evidence documentation.
• Design and manage AI review and approval checkpoints, including pre-production assessments and periodic reviews.
• Support model review processes for foundation models and custom-built machine learning models.
• Maintain inventories of AI models, agents, and enterprise AI use cases.
• Conduct AI ethical risk assessments and impact analyses.
• Assess AI solutions and vendors for fairness, security, transparency, accountability, and policy compliance.
• Identify potential bias, model drift, and unintended consequences in machine learning and generative AI systems.
• Collaborate with cybersecurity, legal, data privacy, and engineering teams to implement Responsible AI controls.
• Support training, documentation, FAQs, and awareness initiatives related to AI governance.
• Help integrate Responsible AI practices into AI product development and deployment workflows.

Mandatory Skills

• Proficiency in Python, including automation scripts, data pipelines, and API integrations.
• Experience with enterprise AI platforms such as Azure ML, Azure AI Foundry, or Databricks.
• Familiarity with AI governance regulations and frameworks, including:
• EU AI Act
• NIST AI Risk Management Framework
• IOGP Responsible Use of AI principles
• Ability to evaluate ethical implications and trade-offs associated with AI systems.
• Understanding of AI/ML, AI risk assessment, governance, and compliance concepts.

Required Qualifications

• Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field.
• Approximately 3–7 years of professional experience in data science, analytics, or AI/ML engineering; candidates should meet the minimum 3+ years requirement.
• Experience working with cross-functional teams, including cybersecurity, legal, privacy, or policy stakeholders.
• Strong communication, analytical, and presentation skills.
• Familiarity with data governance and compliance standards such as GDPR, CCPA, NIST, and OECD frameworks.

Good-to-Have Skills

• Experience developing and evaluating machine learning models using Python, scikit-learn, TensorFlow, or PyTorch.
• Experience with generative AI, agentic AI frameworks, and AI agent governance.
• Familiarity with AI governance platforms such as Credo AI.
• Experience with workflow automation tools such as Power Automate or Azure DevOps.
• Knowledge of fairness, interpretability, robustness, and bias mitigation techniques.
• Experience with enterprise AI platforms such as DataRobot.
• Knowledge of model risk management and Responsible AI certifications.
• A master’s degree in Computer Science, Data Science, or a related field.

Pay: ₹700,000.00 - ₹1,000,000.00 per year

Application Question(s):

• By applying, you agree that your resume and personal details may be stored securely for up to 2 years for recruitment purposes.

Work Location: Hybrid remote in Bangalore City, Bengaluru, Karnataka