AI Technical Senior Lead

DaVita Kidney Care

Senior AI Technical Lead at DaVita developing enterprise-scale platforms and operationalizing AI models. Leading cloud infrastructure design and collaborating with cross-functional teams.

Posted 5/8/2026full-timeRemote • Colorado • 🇺🇸 United StatesSenior💰 $115,000 - $183,000 per yearWebsite

Tech Stack

Tools & technologies

AirflowAzureBigQueryCloudGoogle Cloud PlatformGrafanaJavaKafkaPySparkPythonSplunkTerraform

About the role

Key responsibilities & impact

Infrastructure Development: Build and maintain Enterprise Feature Stores and real-time data lakes (BigQuery, Pub/Sub) to streamline predictive modeling and NLP workflows.
Design and implement resilient, secure multi-cloud architectures (GCP and Azure) using Terraform (IaC) to support high-availability AI operations.
Model Operationalization & Agentic AI: Operationalize ML models using Python, PySpark, and Kafka for both batch and real-time inference.
Leverage advanced orchestration frameworks such as LangChain, LangGraph, CrewAI, and Vertex AI Agent Builder to develop sophisticated agentic AI solutions.
Integrate secure inference APIs via gateways like APIGEE to ensure enterprise-grade connectivity.
Deployment, Automation & MLOps: Implement end-to-end CI/CD pipelines for automated model training, deployment, and seamless rollback capabilities.
Standardize LLMOps and MLOps observability practices using tools like LangSmith and Arize platforms.
Coordinate complex data and ML workflows using Cloud Composer (Airflow).
Model Development/Tuning and implementation: Collaborate with data scientists to understand model objectives and translate them into technical specifications.
Deployment and Automation: Deploy AI models into multiple environments using CI/CD pipelines, ensuring seamless integration with existing systems.
Performance Monitoring & Governance: Establish strong observability and data governance using tools like Grafana, OpenTelemetry, Splunk or Arize to monitor pipeline health and model behavior.
Collaboration & Leadership: Lead Proof of Concepts (POCs) and pilots in controlled lab environments to validate emerging AI technologies.
Documentation and Best Practices: Create and maintain comprehensive documentation for infrastructure setups, model development processes, and deployment workflows.
Security and Compliance: Implement security measures to protect sensitive data and ensure compliance with industry regulations.

Requirements

What you’ll need

Bachelor’s or master’s degree in computer science, Engineering, or a related field
Proven experience in cloud infrastructure management, experience in GCP, Vertex AI, MLOps and Terraform strongly preferred
Strong understanding of Large Language Models and experience in model development and deployment
Proficiency in programming languages such as Python, Java, or similar
Familiarity with CI/CD tools and practices
Excellent problem-solving skills and the ability to work in a fast-paced environment
Strong communication and collaboration skills
Familiarity in using AutoML platforms such as Vertex AI AutoML, DataRobot and Open-source platforms such as Snorkel and H2o.ai

Benefits

Comp & perks

Comprehensive benefits: Medical, dental, vision, 401(k) match, paid time off, PTO cash out
Support for you and your family: Family resources, EAP counseling sessions, access Headspace®, backup child and elder care, maternity/paternity leave and more
Professional development programs: DaVita offers a variety of programs to help strong performers grow within their career and also offers on-demand virtual leadership and development courses through DaVita’s online training platform StarLearning.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonPySparkJavaTerraformCI/CDMLOpsNLPAutoMLBigQueryKafka

Soft Skills

problem-solvingcommunicationcollaborationleadership