7 director data engineering artificial intelligence jobs at 7 companies in United States

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Director Data Engineering Artificial Intelligence
United States
$190k-$225k/yr RemoteFull Time
Cotiviti
Cotiviti: Healthcare analytics and technology serving payers, health systems, and retailers with payment, quality, and risk services.
12+ YOEBachelor's degree and 12+ years experience in data engineering or related roles; expertise in cloud data platforms, Spark, Kafka, dbt, Databricks, Cloudera/Hadoop; experience with HIPAA data; proven leadership of large teams.
AWS, Azure, GCP, Spark, Kafka, dbt, Databricks, Cloudera/Hadoop, Airflow
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Director, Artificial Intelligence (AI)
United States
$165k-$200k/yr RemoteFull Time
Ziply Fiber
Ziply Fiber: Northwest-based fiber internet provider serving residential, small-business, enterprise, and wholesale customers in four U.S. states.
10+ YOE5+ MgmtBachelor's in CS/Data/Engineering required; 10+ years in AI/data science/engineering with 5+ years leadership; hands-on experience with cloud AI, ML production deployments, Python, TensorFlow, Hugging Face, MLOps tools, and Responsible AI governance.
Model Context Protocol (MCP), Agent-to-Agent (A2A), retrieval-augmented generation (RAG), vector databases, Microsoft Copilot, Microsoft Azure AI, OpenAI, AWS, Google Cloud, Python, SQL, R, Java, TensorFlow, scikit-learn, Hugging Face, MLflow, Kubeflow, Airflow
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Director III, Artificial Intelligence & Data Services
Falls Church or Nashua or Virginia or New Hampshire or United States
$200k-$340k/yr OnsiteFull Time
BAE Systems
BAE SystemsLSE: BA.: Global defense, aerospace, and security technology.
12+ YOEBachelor's in CS/Engineering/Information Systems/Data Science or equivalent; 12+ years in data/analytics/AI/technology leadership; experience in data governance, analytics, AI product development, and stakeholder influence.
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Senior Director, Artificial Intelligence
United States or Australia or Belgium or Japan or Switzerland
RemoteFull Time
Telix Pharmaceuticals (US) Inc
Telix Pharmaceuticals (US) Inc: A radiopharmaceutical developing targeted radiation products to improve care for people with cancer and rare diseases.
12+ YOE5+ MgmtBachelor's in CS/Data Science/Engineering required; 12+ years in data/analytics/AI/ML with 5+ years in leadership; experience scaling enterprise AI, governance, regulated environments, and vendor management.
MLOps, LLMOps, GxP, ICH GCP, 21 CFR Part 11, GDPR
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Senior Director, Artificial Intelligence
Palo Alto or Princeton
$217k-$271k/yr OnsiteFull Time
Summit Therapeutics
Summit TherapeuticsNasdaq: SMMT: Public biopharmaceutical oncology developing investigational medicines for patients with serious unmet medical needs.
12+ YOE5+ MgmtBachelor's in CS/Engineering/Data Science or related,12+ years tech/AI experience,5+ years in biotech and leading enterprise AI,experience deploying AI solutions and partnering with executive leadership.
Large Language Models (LLMs), Generative AI, Agentic AI, Machine Learning, Retrieval Augmented Generation (RAG), Knowledge Management, Intelligent Automation
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Artificial Intelligence Research Director - Executive Director
New York, New York, United States
$200k-$325k/yr OnsiteFull Time
JPMorgan Chase
JPMorgan ChaseNYSE: JPM: Global financial services and investment banking firm.
5+ YOEPhD in CS/Engineering or related,5+ years relevant experience,top-tier research publications,strong ML foundations,practical Python software development,ability to translate research to production.
PyTorch, TensorFlow/Keras, HuggingFace Transformers, LangGraph, Google ADK, Coq, Isabelle, Lean, TLA+, Alloy, Z3, PDDL, Python
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Director, AI Enablement, Corporate Affairs
East Hanover, New Jersey, United States
$195k-$361k/yr HybridFull Time
Novartis
NovartisSIX Swiss Exchange / NYSE: NOVN / NVS: Multinational pharmaceutical researching and manufacturing innovative medicines.
Progressive AI, digital transformation, and technology strategy experience; production-grade AI delivery; executive advising; team leadership; technical fluency in generative AI, data engineering, MLOps, responsible AI, and model risk.
Large Language Models, Generative AI, Agentic AI, Data Engineering, Machine Learning Operations, Responsible AI