Lead Responsible AI Engineer

Quick Facts

• Focus: Responsible AI engineering, governance tooling, technical safeguards, and risk mitigation for AI systems, LLMs, and AI agents

Description

You will lead Responsible AI engineering efforts by translating AI risks and regulatory expectations into practical engineering solutions. This role is not primarily about building AI models; instead, you will develop tooling, controls, and guardrails to manage how AI systems can fail. You will partner with engineering and product teams globally across Responsible AI, AI security, governance, and compliance.

Responsibilities

• Develop tools and processes to support Responsible AI compliance across developers, product owners, and product managers

• Conduct Responsible AI assessments and provide technical guidance on risk identification, mitigation, and compliance evidence

• Shift AI governance left by embedding Responsible AI principles into the product development lifecycle

• Design and maintain automated governance and risk-evaluation tooling

• Build and enhance MCP scanning capabilities for automated assessment of AI systems, AI agents, and MCP servers

• Collect risk-related metadata, perform automated analysis, and generate actionable recommendations

• Create CI/CD-integrated continuous evaluation for AI systems and AI-related risks

• Develop technical guardrails for secure, reliable, and compliant AI systems, including controls for AI agents (runtime protections, policy enforcement, input/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 OSS compliance tooling and processes; maintain OSS scanning infrastructure and automation for compliance workflows

• Build and maintain production-grade software and automation; apply best practices for testing, CI/CD automation, code quality validation, and operational monitoring

• Communicate with teams, publish guidelines, and create training materials for Responsible AI, governance, guardrails, and OSS compliance processes

Requirements

• Hands-on software development experience in programming or scripting languages (Python preferred)

• Practical understanding of AI systems, LLMs, AI agents, and agentic workflows and their risks

• Understanding of Responsible AI and AI risk management (harmful/unreliable outputs, misuse, unsafe agent actions, security vulnerabilities, inappropriate access to tools/data)

• Familiarity with AI governance and regulatory expectations; ability to translate them into technical controls and evidence

• Experience designing, testing, deploying, and maintaining production-grade software and automation

• CI/CD experience (GitLab CI/CD familiarity useful)

• Strong fundamentals in testing, automation, reliability, maintainability, and monitoring

• Ability to collaborate across engineering, product, security, governance, and stakeholders to deliver practical solutions

Benefits

• Opportunity to work on meaningful, challenging problems

• Continuous learning and staying up to date with technology trends

• Real-world impact shaping the future of mobility and technology

• Regular feedback and support to grow and succeed

• Collaborative and supportive team environment

• Competitive salary plus variable bonus

• Flexible working hours and a hybrid working environment

• Medical coverage for you and your family

• Eligible for Creative Tax Incentive scheme in Poland (KUP)