Principal II, AI Platform Engineer – GenAI

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $250k - $300k / year

⏰ Full Time

🔴 Lead

🏗️ Platform Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Teladoc Health

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

🏥 Healthcare

👥 B2C

☁️ SaaS

💰 $80M Post-IPO Debt - Teladoc Health on 2016-07

Healthcare • B2C • SaaS

Teladoc Health is a telehealth company that connects patients with care providers through a virtual care platform offering 24/7 urgent care, primary care, mental health (therapy and psychiatry), chronic condition management (diabetes, hypertension, weight management), specialty consultations, and wellness services. It serves individuals directly and partners with employers, health plans, hospitals and health systems to deliver integrated virtual care solutions and technology at scale.

📋 Description

• Architect and hands-on develop production GenAI applications, including member-facing AI agents, conversational experiences, and API-based workflows • Design and build reusable agent infrastructure for orchestration, tool/function calling, RAG, vector search, context management, and model integrations • Architect AI solutions on Databricks, including platform integration, model serving, retrieval, and governance • Make cross-team technical decisions on AI architecture, scalability, platform integrations, and build-versus-buy tradeoffs • 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 • Mentor engineers, set AI engineering standards, and communicate technical decisions to engineering leaders and executives • Participate in on-call support as a senior escalation resource for production AI incidents

🎯 Requirements

• 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 • 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 • Experience with Lakehouse architecture, Unity Catalog, Delta Lake, Spark/PySpark performance tuning, Workflows, Databricks SQL, and cost management • Strong foundation in traditional machine learning or deep learning • Recent, substantial agentic GenAI engineering experience • Proven experience personally building, deploying, and operating production GenAI/LLM applications, ideally 3+ years • Strong knowledge of agent architecture, orchestration, tool calling, RAG, vector retrieval, context management, evaluation, and observability • Strong Python skills and experience delivering production AI services or APIs • Experience 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 hands-on • Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future

🏖️ Benefits

• Performance bonus • RSUs • Flexible Vacation Policy • 80 hours of Paid Sick, Safe, and Caregiver Leave annually • Benefits program for employees and their families • Teladoc Health equipment provided at no charge • Career growth opportunities • Inclusive workplace and equal opportunity employment

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