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.

- Solid 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

📌 AI Risk Engineer (Bengaluru)
🏢 Ananta Services
📍 Bengaluru