The Responsible AI Engineering team is part of our AI & Analytics Infrastructure organization, building the governance, tooling, and technical safeguards that enable the safe adoption of agentic AI across HERE. As part of this team, you will help identify how AI systems can fail, assess the resulting risks, and develop practical technical solutions to mitigate them. You will work across Responsible AI, AI security, governance, and compliance, partnering with engineering and product teams globally.
As a Lead Responsible AI Engineer , you will become a subject matter expert in Responsible AI and help translate AI risks and regulatory expectations into practical engineering solutions. This is not primarily an AI model development role. Your focus will be on understanding how AI systems, LLMs, and AI agents can create risks and developing the tooling, controls, and guardrails needed to manage those risks.
Responsible AI by Design : Develop tools, infrastructure, and processes that help developers, product owners, and product managers achieve Responsible AI compliance. Conduct Responsible AI assessments and provide technical guidance on risk identification, mitigation strategies, and regulatory compliance evidence. Shape company-wide processes to shift AI governance left and embed Responsible AI principles throughout the product development lifecycle AI Governance Tooling and MCP Scanners: Design, develop, and maintain automated tooling for AI gover