Technical Lead – AI & Data Science
Job in
Denver, Denver County, Colorado, 80285, USA
Listed on 2026-05-28
Listing for:
RHI DVA Renal Healthcare, Inc
Full Time
position Listed on 2026-05-28
Job specializations:
-
IT/Tech
AI Engineer, Machine Learning/ ML Engineer, Cloud Computing
Job Description & How to Apply Below
Technical Lead – AI & Data Science
Posting Date: 04/20/2026
Essential Duties & Responsibilities 1. Technical Leadership & Oversight (50%)- Multi-Project Delivery:
Oversee the technical execution of multiple work streams simultaneously (e.g., AI/ML product development and deployment, data pipeline modernization, and GenAI pilots). Ensure technical decisions align with project timelines and business value. - Architecture & Design:
Define and validate system architectures for AI applications, ensuring they meet non-functional requirements (scalability, reliability, security). Lead technical design reviews and approve solution patterns (e.g., RAG architectures, Event-driven pipelines). - Guidance & Mentorship:
Mentor Senior Developers, Data Scientists, and Engineers. Conduct code reviews to ensure best practices in software engineering, CI/CD, and testing are followed. - Stakeholder Partnership:
Partner with Product Managers and Business Stakeholders to translate complex business requirements into technical specifications and roadmaps.
- Core Development:
Actively contribute code to critical paths of the project. Develop and maintain robust data pipelines, API services, etc. - AI/ML Implementation:
Operationalize machine learning models using Vertex AI, building automated pipelines, and integrating models into clinical workflows (e.g., within CWOW or One View). - Troubleshooting:
Dive into code to resolve critical production issues ("fire-fighting") and perform root cause analysis for complex incidents.
- Cloud Platforms:
Deep expertise in Google Cloud Platform (GCP) services, specifically Vertex AI, Big Query, Cloud Composer (Airflow), Cloud Run, GKE (Kubernetes), and Cloud Storage. - Programming:
Advanced proficiency in Python (for AI/Data) and SQL. - AI & ML Ops:
Experience with Vertex AI, LLM orchestration (Lang Chain/etc.), and MLOps practices (model monitoring, feature stores, automated retraining). - Dev Ops:
Hands-on experience with Git Lab CI/CD, Docker, and Terraform.
- Experience:
7+ years of progressively responsible experience in software engineering or related areas, with at least 2+ years in a Technical Lead or Principal Engineer capacity. - Education:
Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent practical experience).
- Multi-Tasking:
Proven ability to context-switch effectively between overseeing high-level strategy for one project and debugging code for another. - Communication:
Ability to explain complex technical trade-offs to non-technical leadership and define "the how" clearly to developers. - Resilience:
Comfortable working in a fast-paced environment where priorities can shift; demonstrates a "can-do" attitude to unblock the team.
- A "community first, company second" culture based on Core Values that really matter.
- Clinical outcomes consistently ranked above the national average.
- Award-winning education and training across multiple career paths to help you reach your potential.
- Performance-based rewards based on stellar individual and team contributions.
- A comprehensive benefits package designed to enhance your health, your financial well-being and your future.
- Dedication, above all, to caring for patients suffering from chronic kidney failure across the nation.
Salary Range: $98,000.00 - $ per year.
Equity & Opportunity StatementAt DaVita, we stride to be a community first and a company second. We want all teammates to experience DaVita as "a place where I belong." Our goal is to embed belonging into everything we do in our Village, so that it becomes part of who we are. We are proud to be an equal opportunity workplace and comply with state and federal affirmative action requirements.
Individuals are recruited, hired, assigned and promoted without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, protected veteran status, or any other protected characteristic.
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