Principal AI Platform Engineer

HERE Technologies is a location data and technology platform company. They empower customers to achieve better outcomes in managing infrastructure, optimizing assets, and guiding drivers safely. The company operates globally with tech hubs in Europe, the US, and Asia, providing automotive navigation and mapping products.

• Bachelor's degree in Computer Science, Engineering, IT, or related field, or equivalent experience.
• 5+ years in platform engineering, cloud engineering, DevOps, Site Reliability Engineering (SRE), or infrastructure engineering.
• Hands-on experience designing and operating cloud platforms.
• Strong expertise with infrastructure-as-code technologies.
• Experience building and supporting CI/CD pipelines with GitHub Actions, Azure DevOps, GitLab, Jenkins, or similar.
• Deep understanding of containerization and orchestration with Docker and Kubernetes.
• Experience with monitoring, logging, tracing, and observability tools such as Datadog, Grafana, Prometheus, OpenTelemetry, or Splunk.
• Knowledge of identity and access management, secrets management, and enterprise security controls.
• Experience supporting scalable production systems with high availability and resilience.
• Strong scripting and automation skills with Python, PowerShell, Bash, or similar.
• Experience supporting AI, machine learning, or GenAI platforms in production.
• Familiarity with model lifecycle management, MLOps, LLMOps, model registries, and AI governance.
• Experience with AI technologies like Azure AI Services, Azure OpenAI, AWS Bedrock, Databricks, LangChain, Semantic Kernel, or vector databases.
• Knowledge of Responsible AI principles, model monitoring, prompt management, and AI compliance requirements.
• Experience developing internal developer platforms and self-service capabilities.
• Relevant cloud certifications in Azure, AWS, Kubernetes, Terraform, or similar.

• Design, build, and operate the enterprise AI Hub with shared services and developer tooling for AI applications.
• Develop and maintain CI/CD pipelines, infrastructure-as-code, automated testing, and release processes for AI workloads.
• Implement and manage model registries, prompt repositories, vector database integrations, orchestration frameworks, and agent runtime environments.
• Build and operate observability solutions providing monitoring, logging, tracing, performance metrics, and cost visibility.
• Establish and enforce platform standards for security, identity management, governance, compliance, auditability, and responsible AI practices.
• Collaborate with AI Architects to translate platform designs into scalable production environments and reusable services.
• Create self-service capabilities, templates, SDKs, and reusable components for Automation Engineers and product teams.
• Optimize platform reliability, performance, scalability, and operational efficiency, maintaining service-level objectives.
• Manage cloud-native AI infrastructure across cloud and hybrid environments, including containerized and serverless workloads.
• Drive platform automation via infrastructure-as-code, policy-as-code, and automated governance controls.
• Evaluate and integrate emerging AI infrastructure technologies, frameworks, and tools to improve the AI ecosystem.
• Monitor platform costs, resource utilization, and licensing consumption to improve efficiency and governance.

As part of HERE Technologies' employment process, candidates must successfully complete a pre-employment screening including employment, education, and criminal verification if applicable. HERE is an equal opportunity employer evaluating qualified applicants without regard to legally protected characteristics.