Senior AI Research Engineer (AI Governance Automation) - Remote

Credo AI is a leading AI governance platform helping enterprises implement responsible AI at scale. The company operates as the trust layer for global enterprises, transforming organizations through AI by leveraging a knowledge graph updated by agents, enriched with global regulatory intelligence, and supported by Forward-Deployed Experts. This ensures enterprises have a clear view of the risk profile behind every AI system, enabling faster and compliant AI adoption.

About the Role

This is a full-time remote role for a Senior AI Research Engineer focused on governance automation. You will lead the development of the AI Governance Agent initiative, creating intelligent systems that reduce human effort required for effective AI governance. Your work will transform how organizations approach AI risk management and compliance, making robust governance scalable as AI deployments grow.

You will prototype, validate, and refine AI capabilities that assist in risk identification, control selection, evidence evaluation, and complete governance workflows. As this work matures, you'll tackle broader scalable oversight challenges, developing novel approaches to governance that leverage AI while maintaining human judgment.

Key Responsibilities

• Support design and development of the Credo AI Agent, an intelligent assistant that streamlines governance workflows.

• Create hybrid systems blending rule-based foundations with advanced AI capabilities.

• Build prototypes in the Labs environment demonstrating immediate value while validating long-term approaches.

• Research and implement state-of-the-art approaches to AI alignment, evaluation, and oversight.

• Collaborate with product, engineering, and customer-facing teams to transform prototypes into production systems.

• Drive thought leadership in AI governance automation through publications and presentations.

About You

You are passionate about solving the meta-problem of AI governance with AI itself. You understand that effective oversight requires strong technical capabilities and a nuanced understanding of governance and risk. You thrive in ambiguous problem spaces and can build pragmatic solutions delivering immediate value while advancing long-term research goals.

Minimum Qualifications

• Advanced degree in Computer Science, AI/ML, or equivalent experience.

• 3+ years experience developing and deploying production LLM-based systems.

• Demonstrated expertise in prompt engineering, retrieval-augmented generation, and LLM alignment.

• Experience building agents or complex AI systems with multiple components.

• Proficiency in Python and modern AI development stacks.

• Strong understanding of AI risks, governance frameworks, or compliance requirements.

• Excellent communication skills to translate complex technical concepts for diverse stakeholders.

Preferred Qualifications

• Experience with risk management, compliance, or governance systems.

• Background in AI safety, alignment, or responsible AI research.

• Track record of developing innovative AI applications addressing real-world problems.

• Experience with rapid prototyping, agile development, and experimental validation.

• Publication record in relevant areas (AI safety, LLMs, governance, etc.).