AI Technical Sr Lead (IT)

Sourced from justjobs.com

DaVita is seeking a Senior AI Technical Lead to design and operate enterprise-scale AI platforms in a regulated healthcare environment. The role blends DevOps, MLOps, and applied AI, focusing on cloud infrastructure, LLM operationalization, and agentic AI solutions. You will lead cross-functional teams and mentor engineers while moving AI experiments into secure production deployments.

• Build and maintain enterprise feature stores and real-time data lakes (BigQuery, Pub/Sub) for predictive modeling and NLP workflows
• Design resilient multi-cloud architectures on GCP and Azure using Terraform
• Operationalize ML models with Python, PySpark, and Kafka for batch and real-time inference
• Develop agentic AI solutions using LangChain, LangGraph, CrewAI, and Vertex AI Agent Builder
• Implement end-to-end CI/CD pipelines for model training, deployment, and rollback
• Standardize LLMOps and MLOps observability with LangSmith and Arize
• Coordinate ML workflows using Cloud Composer (Airflow)
• Establish observability and data governance with Grafana, OpenTelemetry, Splunk, or Arize
• Evaluate and integrate AI vendors such as Snorkel, H2O.ai, and DataRobot
• Lead POCs and pilots, mentor engineering teams, and ensure Responsible AI compliance

• Bachelor's or master's degree in Computer Science, Engineering, or a related field
• 10+ years of experience building and operating enterprise-scale platforms
• Proven experience with cloud infrastructure management, GCP, Vertex AI, MLOps, and Terraform
• Strong understanding of Large Language Models and model development/deployment
• Proficiency in Python, Java, or similar programming languages
• Familiarity with CI/CD tools and practices
• Excellent problem-solving, communication, and collaboration skills

• Google Cloud certifications such as GCP Cloud Engineer or GenAI Leader
• Experience with AutoML platforms like Vertex AI AutoML, DataRobot, Snorkel, or H2O.ai
• Background in regulated financial or retail environments