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About the Role

We are seeking an AI Engineer – Data & AI Platform to architect, build, and operationalize scalable generative AI and machine learning solutions across Snowflake, Databricks, and modern MLOps ecosystems. This role will partner with data scientists, ML engineers, and platform teams to design and deploy end-to-end AI/ML pipelines, advance AI integration, and ensure production-grade reliability for AI-driven products.

Responsibilities

Operationalize GenAI and LLM applications, leveraging RAG, vector search, prompt engineering, agentic AI, and MCP.
Lead the design, development, and deployment of production-grade LLM and ML pipelines, including data transformation, feature engineering, training, tuning, and serving.
Architect scalable data and AI workflows on Snowflake, Databricks, and Azure ML, integrating AI models with modern data lakehouse platforms.
Build and maintain API-based AI services (FastAPI, Flask), enabling secure, performant, and reliable model access at scale.
Define and implement CI/CD pipelines for GenAI and ML services, using GitHub Actions/Azure DevOps, MLFlow, and container orchestration (Kubernetes, Docker).
Develop and enforce MLOps/LLMOps best practices, including experiment tracking, model versioning, observability, and governance.
Mentor ML engineers and data scientists on engineering rigor, scalable design, and production-readiness.
Partner with cross-functional teams to integrate AI services into products, ensuring security, compliance, and resilience in regulated healthcare environments.
Troubleshoot production AI systems, analyzing inference latency, drift, and performance issues, and implementing preventive solutions.
Document and communicate architecture patterns, operational standards, and AI development frameworks across the organization.

Requirements

8+ years of experience in AI/ML engineering roles, with proven success in architecting and scaling production LLM/GenAI and ML systems.
Experience deploying LLM and GenAI solutions including RAG, vector database integration, and agentic/tool‑augmented LLM systems (LangChain, MCP, or similar frameworks).
Experience with Snowflake or Databricks, using one or both as core platforms for data processing or AI/ML workloads.
Proven track record in MLOps/LLMOps, including CI/CD pipeline automation, model serving, monitoring, and governance, using modern AI infrastructure tools such as Docker, Kubernetes, Azure ML, MLflow, and Terraform.
Proficiency in Python and SQL, with experience processing high‑volume datasets using big‑data tools such as Spark or equivalent distributed systems.
Ability to collaborate in cross-disciplinary teams (engineering, product, compliance, security) and deliver impact in regulated industries.

Skills

Generative AI
Machine Learning
Snowflake
Databricks
MLOps
RAG (retrieval-augmented generation)
Vector search
Prompt engineering
Agentic AI
MCP (Model Context Protocol)
LLM pipelines
ML pipelines
Data transformation
Feature engineering
Model training
Model tuning
Model serving
Azure ML
Data lakehouse platforms
API-based AI services
FastAPI
Flask
CI/CD pipelines
GitHub Actions
Azure DevOps
MLFlow
Kubernetes
Docker
LLMOps
Experiment tracking
Model versioning
Observability
Governance
Python
SQL
Big-data tools
Spark
Distributed systems
API-driven AI development

Location

Remote

Work Type

Full-time

Experience Level

8+ years

Education Level

Bachelor's degree in Computer Science, Engineering, Machine Learning, or a related field; equivalent work experience is acceptable.

Salary/Compensations

$200,000 - $230,000

Benefits

Performance bonus
Flexible Vacation Policy
80 hours of Paid Sick, Safe, and Caregiver Leave annually

About the Company

Teladoc Health is transforming how better health happens.
Chart your career path with meaningful opportunities that empower you to grow, lead, and make a difference.
Join a multi-faceted community that celebrates each colleague’s unique perspective and is focused on continually improving, each and every day.
Contribute to an innovative culture where fresh ideas are valued as we increase access to care in new ways.
Enjoy an inclusive benefits program centered around you and your family, with tailored programs that address your unique needs.

Equal Opportunity

As an Equal Opportunity Employer, we never have and never will discriminate against any job candidate or employee due to age, race, religion, color, ethnicity, national origin, gender, gender identity/expression, sexual orientation, membership in an employee organization, medical condition, family history, genetic information, veteran status, marital status, parental status, or pregnancy). In our innovative and inclusive workplace, we prohibit discrimination and harassment of any kind.