Principal Data & AI Platform Engineer, DataOps
Teladoc Health1 day ago
Remote, United StatesStaff+
Base Salary
$200k - $230k/yr
Responsibilities
- Architect and implement AI and agentic capabilities that improve the reliability, scalability, and operational maturity of data processing systems.
- Build intelligent pipeline failure detection and recovery, including automated retries, 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 in data engineering operations with evaluation, observability, human review, and fallback paths.
- Lead cross-functional architecture, implementation, design reviews, and reusable engineering standards for resilient data operations.
- Contribute hands-on to implementation, troubleshooting, performance improvements, and scalability improvements across modern data platforms.
- Evaluate modern data and AI technologies and mentor engineers on complex data platform and AI-enabled engineering problems.
Requirements
- Bachelor's degree in computer science, engineering, or a related field, or equivalent work experience.
- 10+ years of experience across data engineering, software engineering, or platform engineering, including senior-level architecture and large-scale system design.
- At least 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 populations of users or downstream consumers.
- Hands-on experience productionizing AI-augmented or agentic solutions with 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.
- Preferred experience with agentic AI frameworks, context or semantic layers, model evaluation, data quality, data observability, lineage, fault tolerance, automated remediation, or healthcare and other regulated industries.
Benefits
- Remote position with travel of up to 10%, subject to business needs.
- Flexible Vacation Policy with manager approval required for time off.
- 80 hours of paid sick, safe, and caregiver leave annually for full-time employees.
- Performance bonus eligibility and benefits subject to eligibility requirements.
Tech Stack
DatabricksSnowflake
Categories
Data Engineering
About Teladoc Health
Teladoc Health builds a virtual-care platform delivering primary, urgent, mental-health, and chronic-condition services via web and mobile, sold to employers, health plans, hospitals, and health systems. Its business model combines per‑member subscriptions with visit-based fees, supported by clinical networks and EMR integrations. The New York–based company is publicly traded on the NYSE and expanded its chronic-care capabilities by acquiring Livongo in 2020.