Principal II AI Platform Engineer, GenAI

Teladoc, Inc.
United States
2 days ago
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Role details

Contract type
Permanent contract
Employment type
Part-time (≀ 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$250,000 - $300,000
Working hours
Regular working hours

Tech stack

LangGraph Framework Application Programming Interfaces (APIs) Artificial Intelligence Automation of Tests Cloud Computing Continuous Integration Data Architecture Information Retrieval Python (Programming Language) Machine Learning Performance Tuning Search Technologies
+26 more
Management of Software Versions Enterprise Software Applications Retrieval-Augmented Generation Large Language Models Snowflake Apache Spark IT Architecture Deep Learning Generative AI Agentic-AI Build Management Data Lakes AI Platforms Pyspark Kubernetes Information Technology Enterprise Integration Free and Open-Source Software Machine Learning Operations Data Lakehouse Api Design Terraform Semantic Kernel Serverless Computing Docker Databricks

Job description

We are seeking a Principal II Data & AI Platform Engineer to serve as one of the most senior hands-on technical leaders on our Data & AI Platform team. This role will architect, build, and scale production generative AI applications and agentic systems, including member-facing experiences. You will drive technical decisions for AI architecture, agent infrastructure, and integration with our Databricks ecosystem while directly contributing to design and implementation., * Lead the architecture and hands-on development of production GenAI applications, including member-facing AI agents, conversational experiences, and API-based workflows.

  • Design and build reusable agent infrastructure, including orchestration, tool/function calling (such as MCP), RAG, vector search, context management, and model integrations.
  • Architect AI solutions on Databricks, including platform integration, model serving, retrieval, and governance, with secure and reusable patterns for enterprise applications.
  • Make cross-team technical decisions on AI architecture, scalability, platform integrations, and build-versus-buy tradeoffs, while remaining accountable for implementation.
  • Establish production AI engineering practices for evaluation, automated testing, CI/CD, model/prompt versioning, observability, and troubleshooting.
  • Build safe, reliable AI systems with PHI/PII protections, guardrails, access controls, and performance and cost monitoring.
  • Partner with product, engineering, data, security, and compliance teams to deliver member-facing AI capabilities and integrate AI into enterprise applications.
  • Mentor engineers, set AI engineering standards, and communicate technical decisions to engineering leaders and executives while remaining deeply hands-on.
  • Participate in on-call support as a senior escalation resource for production AI incidents.

The time spent on each responsibility reflects an estimate and is subject to change dependent on business needs.

Requirements

The ideal candidate brings a strong foundation in traditional machine learning and deep learning, followed by substantial recent experience engineering production GenAI solutions. This is a highly influential individual contributor role with technical decision-making authority, cross-team leadership, and an opportunity to shape how Teladoc delivers reliable, secure AI at scale., * Bachelor’s degree in Computer Science, Engineering, Machine Learning, or a related field, or equivalent practical experience.

  • 12+ years of experience building and running production systems (software, platform, or ML engineering). A proven record of setting technical direction for large, multi-team initiatives and defining architectures and standards used across the company.
  • 5+ years of hands-on Databricks experience at production scale:
  • Lakehouse architecture, Unity Catalog, Delta Lake
  • Spark/PySpark performance tuning
  • Workflows and Databricks SQL
  • Cost management (cluster policies, serverless compute)
  • Strong hands-on foundation in traditional machine learning or deep learning, predating widespread GenAI adoption, followed by recent, substantial agentic GenAI engineering experience.
  • Proven experience personally building, deploying, and operating production GenAI/LLM applications (ideally 3+ years), such as agentic APIs, workflows, or conversational products.
  • Strong knowledge of agent architecture, including orchestration, tool calling, RAG, vector retrieval, context management, evaluation, and observability.
  • Strong Python skills and experience delivering production AI services or APIs, with CI/CD, testing, monitoring, and operational troubleshooting.
  • Ability to lead through technical authority, mentor engineers, collaborate across teams, and design secure, reliable systems while remaining a hands-on individual contributor., * Hands-on experience with Databricks Mosaic AI, Unity Catalog, Delta Lake, MLflow, Vector Search, or Databricks Asset Bundles.
  • Experience with Snowflake, dbt, Terraform, Spark/PySpark, or broader data lakehouse infrastructure.
  • Experience with AI applications in healthcare or other regulated environments, including HIPAA or responsible AI frameworks.
  • Familiarity with complementary AI/cloud frameworks and tools such as LangGraph, Semantic Kernel, Azure AI Foundry, Docker, or Kubernetes.
  • Relevant Databricks or cloud AI certifications, open-source contributions, publications, or conference presentations.

Benefits & conditions

The base salary range for this position is$250,000 - $300,000.In addition to a base salary, this position is eligible for performance bonus, RSU’s, and benefits (subject to eligibility requirements) listed here:Teladoc Health Benefits 2026Total compensation is based on several factors including, but not limited to, type of position, location, education level, work experience, and certifications.This information is applicable for all full-timepositions.

LI-SS2 #LI-Remote

We follow a Flexible Vacation Policy, intended for rest, relaxation, and personal time. All time off must be approved by your manager prior to use. You will also receive 80 hours of Paid Sick, Safe, and Caregiver Leave annually. This applies to full-time positions only. If you are applying for a part-time role, your recruiter can provide additional details.

As part of our hiring process, we verify identity and credentials, conduct interviews (live or video), and screen for fraud or misrepresentation. Applicants who falsify information will be disqualified.

About the company

Teladoc Health $250,000 - $300,000 United States Nov 11, 2026

Join the team leading the next evolution of virtual care.

At Teladoc Health, you are empowered to bring your true self to work while helping millions of people live their healthiest lives.

Here you will be part of a high-performance culture where colleagues embrace challenges, drive transformative solutions, and create opportunities for growth. Together, we’re transforming how better health happens., Teladoc Health will not sponsor or transfer employment work visas for this position. Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future.

Why join Teladoc Health?

  • Teladoc Health is transforming how better health happens. Learn how when you join us in pursuit of our impactful mission.
  • Chart your career path with meaningful opportunities that empower you to grow, lead, and make a difference.
  • Join a multi-faceted community that celebrates each colleague’s unique perspective and is focused on continually improving, each and every day.
  • Contribute to an innovative culture where fresh ideas are valued as we increase access to care in new ways.
  • Enjoy an inclusive benefits program centered around you and your family, with tailored programs that address your unique needs.
  • Explore candidate resources with tips and tricks from Teladoc Health recruiters and learn more about our company culture by exploring #TeamTeladocHealth on LinkedIn.

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