Principal Data & AI Platform Engineer, DataOps

## Principal Data & AI Platform Engineer, Data Ops Apply :
USA - Any Location (Remote):
Full time:
Posted Yesterday:
End Date:
November 3, 2026 (23 days left to apply):
JR21143
** 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.
** Summary of Position
** As a Principal Data & AI Platform Engineer, you will architect, build, and operationalize AI-augmented capabilities that make our data platform more resilient, observable, scalable, and intelligent. This role focuses on Data Ops - the systems that operate and support data pipelines rather than the pipelines themselves - including AI-driven monitoring, failure detection and recovery, data quality, and operational decisioning.

The ideal candidate combines deep data and software engineering experience with hands-on experience product ionizing AI and agentic capabilities in engineering workflows. You will set technical direction, build solutions, lead cross-functional architecture and implementation efforts, and mentor engineers across the organization.  
** Essential Duties and 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 Data Ops 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.

** Supervisory Responsibilities
** No  
** Qualifications Expected for Position
*** 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 product ionizing 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…