Principal AI Automation Engineer

What’s the role?

We are looking for a strong AI Automation Engineer to be the delivery engine of the AI Center of Excellence, responsible for transforming approved use cases into production-grade AI solutions, agentic workflows, and intelligent automations. This role designs, builds, deploys, and continuously improves AI-powered business processes that drive measurable business outcomes.

Working closely with business stakeholders, process owners, architects, and platform engineers, the AI Automation Engineer reimagines how work gets done rather than simply automating existing processes. They own the end-to-end delivery lifecycle—from solution design and prompt engineering through deployment, adoption measurement, and continuous optimization—and serve as the primary technical partner to the business functions they support.

AI Solution Development & Delivery

• Design, build, and deploy AI agents, copilots, intelligent workflows, and process automations using enterprise AI platforms and low-code/no-code automation technologies.
• Translate business requirements into scalable AI solutions that improve productivity, quality, customer experience, and operational efficiency.
• Develop and maintain prompts, skills, tools, agent orchestration logic, and workflow integrations across enterprise systems.
• Build solutions using AI platforms leveraging workflow orchestration platforms and API integrations.
• Collaborate with AI Architects and Platform Engineers to ensure solutions align with enterprise architecture, governance, and security standards.

Process Transformation

• Partner with business stakeholders to identify opportunities to redesign processes for AI-first execution.
• Facilitate workshops to understand current-state workflows and define future-state operating models.
• Challenge existing assumptions and recommend process improvements that maximize automation and business value.
• Document business requirements, solution designs, workflows, and operating procedures.

Deployment & Optimization

• Own the delivery lifecycle from concept through production deployment and ongoing training and support.
• Define success criteria, KPIs, and monitoring frameworks for deployed solutions.
• Analyze adoption, usage, performance, and business outcomes to identify optimization opportunities.
• Continuously refine prompts, workflows, and agent behaviors based on user feedback and operational data.
• Troubleshoot issues and implement enhancements to improve effectiveness and user experience.

Stakeholder Engagement

• Serve as a primary CoE representative for assigned business functions and use cases.
• Communicate technical concepts to non-technical audiences and business leaders.
• Build strong relationships with stakeholders to drive adoption and change management.
• Provide demonstrations, training, and enablement support to end users and process owners.

Governance & Best Practices

• Ensure solutions adhere to responsible AI, security, privacy, and compliance requirements.
• Contribute to reusable automation frameworks, prompt libraries, templates, and development standards.
• Share best practices and lessons learned across the CoE to accelerate future implementations.
• Support the establishment of enterprise AI development and operational standards.

Who are you?

• Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, or a related field.
• 8+ years of experience delivering enterprise software, automation, workflow, integration, or digital transformation solutions.
• Demonstrable experience designing and implementing Generative AI, LLM, AI agent, or intelligent automation solutions in production environments.
• Demonstrated experience leading end-to-end delivery of complex AI, automation, or digital transformation initiatives with measurable business outcomes.
• Deep expertise in agentic architectures, prompt engineering, orchestration frameworks, workflow automation, and API-driven integrations.
• Experience building solutions using platforms such as Microsoft Copilot Studio, Power Platform, Azure AI Foundry/OpenAI, AWS Bedrock, Vertex AI, or comparable enterprise platforms.
• Strong understanding of Retrieval-Augmented Generation (RAG), vector databases, knowledge grounding, AI evaluation frameworks, and model lifecycle management.
• Experience integrating AI solutions with enterprise platforms including ERP, CRM, ITSM, collaboration, and data platforms.
• Strong consulting and stakeholder management skills, with the ability to engage business leaders, challenge existing processes, and translate strategic objectives into scalable AI solutions.
• Proven ability to lead workshops, facilitate process redesign sessions, and influence decision-making across technical and non-technical audiences.
• Strong understanding of enterprise security, governance, privacy, compliance, and Responsible AI principles.
• Experience building multi-agent systems, autonomous workflows, and enterprise AI copilots at scale.
• Proficiency in Python, JavaScript, REST APIs, cloud-native development, and integration patterns.
• Experience with MLOps, LLMOps, AI observability, evaluation, and production monitoring frameworks.
• Knowledge of process mining, Lean, Six Sigma, Design Thinking, or business process transformation methodologies.
• Experience operating within an AI Center of Excellence, Innovation Office, Automation CoE, or Digital Transformation organization.
• Experience mentoring engineers and establishing reusable frameworks, development standards, and best practices.
• Industry certifications in Azure AI, Azure Solutions Architecture, Power Platform, AWS AI/ML, Google Cloud AI, UiPath, or similar technologies.

What we offer

• Work on globally deployed automotive navigation and mapping products.
• Collaboration with an experienced, international engineering organization.
• International team working from technology hubs in Europe, the US, Asia, and other locations.
• Flexible working hours and a flexible approach to office versus remote work.
• Yearly variable bonus.

Employment process

Candidates must successfully complete a pre-employment screening process. This involves employment, education, and criminal verification, if applicable.

Equal opportunity

Qualified applicants are evaluated without regard to race, color, age, gender identity, sexual orientation, marital status, parental status, religion, sex, national origin, disability, veteran status, or other legally protected characteristics.