Senior AI Research Scientist/Engineer - Governance Automation in भारत

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Senior AI Research Scientist/Engineer – Governance Automation based in India. 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. Accountabilities: - 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: - 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.