Director: AI/ML Platforms & AI-Ready Data (Remote)

UnitedHealth Group; Eden Prairie (MN); Teletrabalho; USD 177 000 - 303 000; Tempo integral

Resumo da oferta

UnitedHealth Group seeks a Director of AI/ML Engineering to lead strategy, architecture, and delivery of enterprise AI-ready data and contextual platforms. You will guide semantic models, knowledge graphs, and metadata capabilities while partnering across AI, data, product, governance, and business teams to ensure trusted AI access.

Remote work is supported within the U.S. You will drive architectural direction for AI-ready data platforms, mentor engineering leaders, and align roadmaps with

Qualificações

• Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
• 10+ years of experience in AI/ML engineering, data engineering, data architecture, knowledge engineering, or semantic technologies.
• 5+ years of experience leading technical teams, influencing senior stakeholders, and translating business needs into platform capabilities.
• 5+ years of experience leading enterprise-scale data, AI, or knowledge-platform initiatives.
• 3+ years of experience designing semantic models, ontologies, taxonomies, or knowledge graphs.
• 3+ years of experience integrating structured and unstructured data into scalable AI-ready platforms.
• Demonstrated understanding of data products, metadata, lineage, data quality, governance, and access controls.
• Demonstrated understanding of generative AI, large language models, retrieval-augmented generation, vector search, and agentic AI workflows

Responsabilidades

• Lead and direct teams of AI/ML engineers in designing, building, and delivering enterprise-scale machine learning systems and intelligent platforms.
• Partner with senior technology, data, analytics, product, and business leaders to embed semantic and contextual foundations into the broader enterprise AI strategy.
• Define and own the enterprise strategy and roadmap for AI-ready data, semantic architecture, knowledge graphs, and contextual data platforms.
• Establish a clear architectural vision for the enterprise context layer that supports generative AI applications, intelligent search, decision-support systems, and agentic workflows.
• Identify semantic, contextual, and data-quality capabilities required for AI agents to understand business entities, relationships, processes, policies, terminology, and constraints.
• Translate enterprise AI priorities into a sequenced portfolio of foundational data, metadata, ontology, and knowledge-graph capabilities.
• Use enterprise-approved AI tools to streamline workflows, automate tasks, and drive continuous improvement.
• Evaluate emerging trends to inform solution design, platform scalability, and strategic technical innovation.
• Mentor and cultivate technical leaders and engineering talent to ensure continuous technical growth and team capability.

Conhecimentos

AI/ML engineering

Data engineering

Team leadership

Stakeholder influence

Semantic models

Knowledge graphs

Data governance

Enterprise data platforms

Formação académica

Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related field

Master's degree in Computer Science, AI, Data Science, Information Science, or related field

Ferramentas

RDF

OWL

SHACL

SKOS

SPARQL

JSON-LD

GraphRAG

agent memory

Descrição da oferta de emprego

UnitedHealth Group seeks a Director of AI/ML Engineering to lead strategy, architecture, and delivery of enterprise AI-ready data and contextual platforms. You will guide semantic models, knowledge graphs, and metadata capabilities while partnering across AI, data, product, governance, and business teams to ensure trusted AI access.

Remote work is supported within the U.S. You will drive architectural direction for AI-ready data platforms, mentor engineering leaders, and align roadmaps with