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HERE Technologies

PaaS for location-based solutions

Lead Responsible AI Engineer

Security Engineering & ArchitecturePosted on Nov 5
Full-time

About the Job

Requirements

  • Hands-on software development experience across programming or scripting languages; Python experience is particularly relevant.
  • Practical understanding of AI systems, large language models, AI agents, agentic workflows, and associated risks.
  • Understanding of Responsible AI concepts and AI risk management, including unreliable or harmful outputs, misuse, unsafe agent actions, security vulnerabilities, and inappropriate access to tools or data.
  • Familiarity with AI governance and the regulatory landscape, with the ability to translate governance or regulatory expectations into technical controls and evidence.
  • Experience designing, testing, deploying, and maintaining production-grade software and automation.
  • Experience working with continuous integration and continuous delivery environments; familiarity with GitLab continuous integration and continuous delivery is useful.
  • Strong engineering fundamentals in testing, automation, reliability, maintainability, and monitoring.
  • Experience with developer tooling, AI security, security engineering, compliance automation, privacy, open-source software compliance, or governance systems can support success in the role.

Responsibilities

  • 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.
  • Design, develop, and maintain automated tooling for AI governance and risk evaluation.
  • Develop and enhance Model Context Protocol scanning capabilities for automated assessment of AI systems, AI agents, and Model Context Protocol servers.
  • Build infrastructure that collects risk-related metadata, performs automated analysis, and produces actionable recommendations to improve security, governance, and compliance outcomes.
  • Develop scalable continuous-integration and continuous-delivery-integrated solutions that enable continuous evaluation of AI systems and AI-related risks.
  • Develop technical guardrails to help ensure secure, reliable, and compliant AI systems.
  • Design and implement controls for AI agents, including runtime protections, policy enforcement, input and output validation, access controls, risk monitoring, and governance automation.
  • Support teams in identifying and mitigating AI-specific risks while enabling safe adoption of emerging AI technologies.
  • Support development teams using the company's open-source software compliance tooling and processes.
  • Maintain and improve open-source software scanning infrastructure, assist teams in resolving scan failures and compliance issues, and contribute to automation that improves the efficiency, reliability, and usability of compliance workflows.
  • Develop, test, deploy, and maintain production-grade software and automation solutions.
  • Establish engineering best practices including unit testing, integration testing, continuous integration and continuous delivery automation, code quality validation, and operational monitoring.
  • Drive reliability, maintainability, and scalability of Responsible AI and compliance-related platforms and services.
  • Communicate with and support teams adopting AI technologies, produce guidelines for developers and product managers, and develop training materials covering Responsible AI, AI governance, AI guardrails, and open-source software compliance processes.

About the Company

HERE Technologies

PaaS for location-based solutions

HERE Technologies provides a location-based Platform-as-a-Service (PaaS) for automotive, transportation, logistics, and enterprise customers. Its offerings are scalable, customizable location services that developers can integrate into apps and systems via APIs and SDKs, enabling features like maps, routing, geocoding, and traffic insights. The company differentiates itself through global reach, industry-focused solutions, and a flexible subscription/licensing model that supports custom deployments and integrations. Its goal is to help businesses build location-enabled applications and optimize operations by delivering reliable, adaptable location data and services at scale.

Company size
5,001-10,000
Company stage
IPO
Headquarters
Eindhoven, Netherlands
Founded
1985

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