Principal Data & AI Platform Engineer, DataOps

Teladoc Health

. Architect and implement AI and agentic capabilities that improve data processing reliability, scalability, and operational maturity .

Posted 10/9/2026full-timeRemote • United StatesLead💰 $200,000 - $230,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in architecting and implementing AI-driven data processing solutions, focusing on reliability, scalability, and operational maturity. Proficient in leading cross-functional teams and mentoring engineers while applying modern data platforms and AI technologies to enhance data quality and operational workflows.

Highest-signal resume keywords

AI ImplementationData EngineeringLarge-Scale System DesignModern Data PlatformsTechnical Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ProcessingAI CapabilitiesDataOpsAnomaly DetectionRoot-Cause AssessmentAutomated RemediationPerformance ImprovementScalabilitySystem ArchitectureData Quality

Soft Skills

CommunicationMentoringCollaborationInfluencing

Tools & Technologies

DatabricksSnowflakeLangChainHugging FaceAgent Bricks

Industry Keywords

Data EngineeringAI-Enabled EngineeringOperational WorkflowsHealthcareRegulated Industry

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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