Senior AI Research Scientist/Engineer - Governance Automation

IndiaRemoteFull-timesenior

Data ScientistData

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Quick Summary

Requirements Summary

Education and Experience: An advanced degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field, or equivalent practical experience,

Technical Tools

Data ScientistData

This role offers an opportunity to shape the future of AI governance by developing intelligent systems that automate complex governance and compliance workflows. You will lead research and engineering initiatives that help organizations identify AI risks, select appropriate controls, evaluate evidence, and streamline oversight processes. Combining advanced LLM capabilities with rule-based systems, you will turn innovative research into practical, scalable solutions. Working closely with product, engineering, and customer-facing teams, you will bridge experimentation and production deployment. The position is ideal for someone who enjoys tackling ambiguous technical challenges while balancing automation, responsible AI practices, and human judgment. You will also contribute to the broader AI governance community through research, publications, and presentations.

Develop AI Governance Agents: Contribute to the design and implementation of intelligent agents that streamline AI governance activities and reduce manual effort across complex workflows.
Build Hybrid AI Systems: Combine rule-based foundations with advanced AI capabilities to deliver reliable, explainable, and effective governance automation.
Prototype and Validate Solutions: Develop rapid prototypes in an experimental research environment, demonstrate immediate value, and validate approaches for longer-term development.
Advance AI Research: Investigate and implement state-of-the-art techniques in AI alignment, evaluation, oversight, and scalable governance.
Deliver Production-Ready Systems: Collaborate with product, engineering, and customer-facing teams to transform promising prototypes into robust, scalable solutions.
Improve Risk and Compliance Workflows: Develop AI capabilities for risk identification, control selection, evidence assessment, and end-to-end governance processes.
Share Research and Expertise: Contribute to thought leadership through publications, presentations, and insights on AI governance automation and responsible AI.

Requirements

~1 min read

Education and Experience: An advanced degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field, or equivalent practical experience, with at least three years of experience developing and deploying production LLM-based systems.
LLM and AI Expertise: Strong knowledge of prompt engineering, retrieval-augmented generation (RAG), LLM alignment, and modern AI development techniques.
Agent Development: Demonstrated experience building AI agents or complex, multi-component AI systems.
Technical Skills: Proficiency in Python and familiarity with modern AI development frameworks, tools, and deployment practices.
Governance and Risk Knowledge: A solid understanding of AI risks, governance frameworks, compliance requirements, or responsible AI principles.
Research and Problem-Solving: Ability to explore ambiguous problem spaces, rapidly prototype ideas, validate experimental approaches, and balance near-term delivery with long-term research objectives.
Communication and Collaboration: Excellent communication skills, with the ability to explain complex technical concepts to diverse stakeholders and work effectively across multidisciplinary teams.
Preferred Experience: Background in risk management, compliance, governance systems, AI safety, alignment, or responsible AI research.
Additional Advantages: A track record of innovative AI applications addressing real-world challenges, experience with agile development, or publications in AI safety, LLMs, governance, or related fields.

What We Offer

~2 min read

✓Competitive Compensation: Expected annual base salary of ₹40–50 lakh, depending on location, skills, experience, education, and other relevant factors.

✓Equity Compensation: Opportunity to participate in equity compensation.

✓Health Coverage: Health, dental, and vision insurance.

✓Remote Flexibility: Fully remote work within India, with support for coordination across EST, CST, or PST time zones.

✓Flexible Time Off: Unlimited paid time off to support work-life balance.

✓Parental Leave: Up to 12 weeks of paid parental leave.

✓Ergonomic Support: A benefit to help cover equipment costs for a healthier and more comfortable working environment.

✓Coworking and Team Connection: Coverage for coworking spaces and in-person meetups, with company-wide offsites organized multiple times a year.

✓Professional Development: A dedicated budget for learning and career growth.

✓Research and Product Impact: The opportunity to influence the development of scalable AI governance solutions and contribute to the advancement of responsible AI.