Staff Ai Engineer, Genai

Teladoc Health

Remote, US
Base: $170,000 - $190,000; bonus: performance bonu...
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8+ years ai/ml engineering experience
Generative ai and llm deployment expertise
Snowflake and databricks platform proficiency
** Teladoc Health is seeking a Staff AI Engineer to architect and operationalize generative AI solutions, focusing on AI/ML pipeline development and collaboration across teams. The ideal candidate should possess over 8 years of experience in AI/ML engineering, with expertise in deploying large-scale AI systems and a strong foundation in MLOps practices. **

Job Summary

  • This role involves architecting and operationalizing scalable generative AI and machine learning solutions across Snowflake, Databricks, and modern MLOps ecosystems.
  • The ideal candidate will partner with data scientists and platform teams to design end-to-end AI/ML pipelines ensuring production-grade reliability for AI-driven products.
  • Teladoc Health offers a high-performance culture where colleagues embrace challenges and drive transformative solutions while helping millions of people live their healthiest lives.

Matching Summary

Match Score: 75

** Teladoc Health is seeking a Staff AI Engineer to architect and operationalize generative AI solutions, focusing on AI/ML pipeline development and collaboration across teams. The ideal candidate should possess over 8 years of experience in AI/ML engineering, with expertise in deploying large-scale AI systems and a strong foundation in MLOps practices. **

Salary

Base: $170,000 - $190,000; Bonus: Performance bonus eligible; Benefits: Comprehensive benefits program listed

Skills & Requirements

Must-have

  • 8+ years AI/ML engineering experience
  • Generative AI and LLM deployment expertise
  • Snowflake and Databricks platform proficiency
  • MLOps and LLMOps pipeline automation
  • Python and SQL programming skills
  • FastAPI or Flask API development
  • Kubernetes and Docker container orchestration

Nice-to-have

  • Strong leadership and mentorship abilities
  • Experience in regulated healthcare industries
  • Excellent communication for technical concepts
  • Snowflake or Azure ML certifications
  • LangChain or MCP framework knowledge

Key Requirements

  • Bachelor's degree in Computer Science or related field
  • 8+ years of experience in AI/ML engineering roles
  • Proven success scaling production LLM/GenAI systems
  • Authorization to work in the United States without sponsorship

Work Rights

Must be authorized to work in the US without visa sponsorship

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