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Principal II, AI Platform Engineer – GenAI
Teladoc Health. Architect and hands-on develop production GenAI applications, including member-facing AI agents, conversational experiences, and API-based workflows .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in architecting and developing production GenAI applications, with a strong focus on Databricks integration, AI engineering practices, and secure system design. Proven ability to lead technical direction, mentor teams, and collaborate across multiple disciplines to deliver innovative AI solutions.
Highest-signal resume keywords
GenAI Application DevelopmentDatabricks ExperienceAI Engineering PracticesPython ProgrammingMachine Learning Expertise
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
GenAI EngineeringProduction Systems DevelopmentLakehouse ArchitectureDelta LakeSpark Performance TuningCI/CD ImplementationAPI DevelopmentObservability TechniquesModel GovernanceTool Calling
Soft Skills
MentoringTechnical LeadershipCross-Team CollaborationCommunication
Tools & Technologies
DatabricksUnity CatalogDatabricks SQLRAGVector Retrieval
Industry Keywords
PHI/PII ProtectionsAutomated TestingOperational TroubleshootingAccess ControlsPerformance Monitoring
Tech Stack
Tools & technologiesPySparkPythonSparkSQLUnity
About the role
Key responsibilities & impact- Architect and hands-on develop production GenAI applications, including member-facing AI agents, conversational experiences, and API-based workflows
- Design and build reusable agent infrastructure for orchestration, tool/function calling, RAG, vector search, context management, and model integrations
- Architect AI solutions on Databricks, including platform integration, model serving, retrieval, and governance
- Make cross-team technical decisions on AI architecture, scalability, platform integrations, and build-versus-buy tradeoffs
- Establish production AI engineering practices for evaluation, automated testing, CI/CD, model/prompt versioning, observability, and troubleshooting
- Build safe, reliable AI systems with PHI/PII protections, guardrails, access controls, and performance and cost monitoring
- Partner with product, engineering, data, security, and compliance teams to deliver member-facing AI capabilities
- Mentor engineers, set AI engineering standards, and communicate technical decisions to engineering leaders and executives
- Participate in on-call support as a senior escalation resource for production AI incidents
Requirements
What you’ll need- Bachelor’s degree in Computer Science, Engineering, Machine Learning, or a related field, or equivalent practical experience
- 12+ years of experience building and running production systems
- Proven record of setting technical direction for large, multi-team initiatives and defining architectures and standards used across the company
- 5+ years of hands-on Databricks experience at production scale
- Experience with Lakehouse architecture, Unity Catalog, Delta Lake, Spark/PySpark performance tuning, Workflows, Databricks SQL, and cost management
- Strong foundation in traditional machine learning or deep learning
- Recent, substantial agentic GenAI engineering experience
- Proven experience personally building, deploying, and operating production GenAI/LLM applications, ideally 3+ years
- Strong knowledge of agent architecture, orchestration, tool calling, RAG, vector retrieval, context management, evaluation, and observability
- Strong Python skills and experience delivering production AI services or APIs
- Experience with CI/CD, testing, monitoring, and operational troubleshooting
- Ability to lead through technical authority, mentor engineers, collaborate across teams, and design secure, reliable systems while remaining hands-on
- Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future
Benefits
Comp & perks- Performance bonus
- RSUs
- Flexible Vacation Policy
- 80 hours of Paid Sick, Safe, and Caregiver Leave annually
- Benefits program for employees and their families
- Teladoc Health equipment provided at no charge
- Career growth opportunities
- Inclusive workplace and equal opportunity employment