Principal AI Automation Engineer

HERE Technologies is a location data and technology platform company. We empower our customers to achieve better outcomes – from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely.

• 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.
• Experience designing and implementing Generative AI, LLM, AI agent, or intelligent automation solutions in production environments.
• Experience leading end-to-end delivery of complex AI, automation, or digital transformation initiatives with measurable business outcomes.
• 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.
• 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.
• Consulting and stakeholder management skills, with the ability to engage business leaders, challenge existing processes, and translate strategic objectives into scalable AI solutions.
• Ability to lead workshops, facilitate process redesign sessions, and influence decision-making across technical and non-technical audiences.
• 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.

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.

As part of HERE Technologies employment process, candidates will be required to successfully complete a pre-employment screening process including employment, education, and criminal verification if applicable. HERE is an equal opportunity employer and evaluates candidates without regard to legally protected characteristics.