Principal Data Scientist

As a Principal AI/ML Engineer, you will define and deliver the shared technical framework for agentic AI at HERE. You will combine hands-on architecture with organization-wide technical direction, enabling teams to build agents that operate securely, consistently, and efficiently.

You will:

• Design and deliver a reusable agentic orchestration framework that supports multi-agent pipelines, detection and validation stages, confidence-based routing, and escalation to advanced reasoning models when additional evidence is needed.
• Establish the framework’s API strategy, versioning, backward compatibility, deprecation approach, and operational standards so that multiple teams can adopt and evolve it reliably.
• Define and implement identity, authentication, and authorization patterns for agents that call tools, invoke other agents, or access production data.
• Build a consistent guardrail and governance enforcement layer, including pathways suited to different levels of agent risk, complexity, and business impact.
• Create measurable certification criteria for reusable AI components and develop reference implementations, starter templates, and development patterns that make compliant adoption straightforward.
• Set technical direction for engineers building shared capabilities on top of the framework and guide architecture decisions across participating domain teams.
• Evaluate requests to deviate from established patterns, determining when the shared framework should evolve and when a solution should align with an existing standard.

You have built foundational technology that other engineering teams depend on and understand the long-term responsibility that comes with operating a shared framework. You bring depth in AI and machine learning together with disciplined software, platform, and security engineering.

The following experience will help you succeed in this role:

• A Master’s degree or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field, together with substantial relevant experience. Equivalent practical experience developing large-scale AI or ML platforms will also be considered.
• Demonstrated experience designing and shipping a reusable framework, SDK, or platform abstraction adopted by at least three engineering teams. This is the most important qualifying experience for the role.
• A track record of architecting and delivering production ML systems end to end and setting technical direction that other engineers successfully build upon.
• Deep knowledge of representation learning, embeddings, vector similarity search, retrieval-augmented generation, and ML fundamentals such as regression, classification, forecasting, and model interpretability.
• Hands-on experience with LLMs and agentic architectures, including multi-agent orchestration, confidence gating, escalation patterns, and frameworks such as LangGraph, CrewAI, AutoGen, or comparable technologies.
• Strong Python and software engineering expertise, including framework or library design, API stability, testing, versioning, deprecation, distributed systems, and ML technologies such as PyTorch, TensorFlow, or scikit-learn.
• Experience in one or more complementary areas such as automated service identity and scoped authorization, agentic AI security controls, multimodal or vision-language models, LLMOps, vector databases, geospatial data, spatial indexing, entity resolution, satellite or aerial imagery, LiDAR, drone processing, C++, Java, or edge AI.

 

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.

 

At HERE we take it upon ourselves to be the change we wish to see. We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people’s lives. If you are inspired by an open world and driven to create positive change, join us. Learn more about us on our YouTube Channel.

 

You will join a team developing shared AI capabilities that help HERE build secure, scalable, and reusable agentic solutions. The team works across AI engineering, machine learning, platform architecture, security, and governance.Our goal is to make it easier for domain teams to build production-ready agents using consistent orchestration patterns, reusable components, enforceable controls, and clear engineering standards. In this role, you will shape a foundational platform that multiple teams can build on with confidence.