Principal Data & AI Platform Engineer, DataOps

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $200k - $230k / 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 implement AI and agentic capabilities that improve data processing reliability, scalability, and operational maturity • Build intelligent pipeline failure detection and recovery, including automated retry, root-cause assessment, escalation, and downstream user notification • Develop AI-driven data quality and heuristic monitoring to detect anomalies, assess impact, and recommend or automate next-best actions • Design and evolve large-scale DataOps and platform capabilities supporting enterprise data consumers and hundreds or more users • Productionize AI within data engineering operations with evaluation, observability, human review, and fallback paths • Partner with data engineering, platform, cloud, security, and business/data consumer teams • Lead architecture and design reviews and establish reusable engineering patterns and standards • Contribute hands-on to implementation, troubleshooting, and performance and scalability improvements • Evaluate and apply modern data and AI technologies • Mentor engineers and provide technical review and guidance on complex data platform and AI-enabled engineering problems

🎯 Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field; equivalent work experience is acceptable • 10+ years of experience across data engineering, software engineering, or platform engineering • Senior-level architecture and large-scale system design experience • 3+ years of hands-on experience applying AI, GenAI, or agentic capabilities to data engineering, platform, or operational workflows • Experience architecting or engineering large-scale data processing systems serving broad user populations or downstream consumers • Experience productionizing AI-augmented or agentic solutions, including evaluation, monitoring, failure handling, and operational support • Strong experience with modern data platforms such as Databricks or Snowflake and large-scale/distributed data processing patterns • Ability to lead technical design and execution across teams, communicate with technical and business stakeholders, and influence without direct authority • Currently authorized to work in the United States without visa sponsorship now or in the future • Up to 10% travel • Bonus: Experience with Databricks Agent Bricks, LangChain, Hugging Face, or similar technologies • Bonus: Experience with context layers, semantic layers, model evaluation, or enterprise AI usability patterns • Bonus: Deep experience with data quality, data observability, lineage, fault tolerance, or automated remediation at scale • Bonus: Experience in healthcare or another regulated industry

🏖️ Benefits

• Performance bonus • Flexible Vacation Policy • 80 hours of Paid Sick, Safe, and Caregiver Leave annually • Benefits program centered around employees and their families • Meaningful career growth opportunities • Inclusive workplace culture