Principal Data & AI Platform Engineer, DataOps

Teladoc Health is transforming virtual care and helping millions of people live healthier lives. The company is seeking a Principal Data & AI Platform Engineer to architect, build, and operationalize AI-augmented DataOps capabilities, including monitoring, failure detection and recovery, data quality, and operational decisioning. The role also provides technical leadership, cross-functional collaboration, hands-on implementation, and mentorship across data platform and AI-enabled engineering initiatives.

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 retry, root-cause assessment, escalation to on-call teams, and downstream user notification
• Develop AI-driven data quality and heuristic monitoring to detect anomalies, assess impact, and recommend or automate the next best action
• Design and evolve large-scale DataOps and platform capabilities that support enterprise data consumers and hundreds or more users
• Productionize AI within data engineering operations with appropriate evaluation, observability, human review, and fallback paths
• Partner with data engineering, platform, cloud, security, and business/data consumer teams to define requirements and drive technical solutions
• Lead architecture and design reviews and establish reusable engineering patterns and standards for resilient data operations
• Contribute hands-on to implementation, troubleshooting, and performance and scalability improvements across modern data platforms
• Evaluate and apply modern data and AI technologies based on fit, scalability, reliability, and operational value
• 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, including senior-level architecture and large-scale system design
• 3+ years of hands-on experience applying AI, GenAI, or agentic capabilities to data engineering, platform, or operational workflows
• Proven experience architecting or engineering large-scale data processing systems serving a broad population of users or downstream consumers
• Hands-on 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
• Demonstrated ability to lead technical design and execution across teams, communicate with technical and business stakeholders, and influence without direct authority
• Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future
• Experience with agentic AI and engineering frameworks such as Databricks Agent Bricks, LangChain, Hugging Face, or similar technologies
• Experience with context layers, semantic layers, model evaluation, or other patterns that make enterprise data more usable by AI systems
• Deep experience with data quality, data observability, lineage, fault tolerance, or automated remediation at scale
• Experience in healthcare or another regulated industry