Senior AI Engineer - LLMOps & MLOps (Remote)

About the Role

We are seeking a Senior AI Engineer - LLMOps & MLOps to join our team in a fully remote capacity. In this role, you will take end-to-end ownership of AI initiatives, focusing on enhancing claims processing through innovative AI solutions. This is a high-stakes position within our AI Transformation Office, where you will collaborate with top-tier technologies such as Azure OpenAI Service and AWS to build automated infrastructures that integrate legacy systems with modern AI capabilities.

What You'll Do

• Lead the development of multi-cloud CI/CD and Continuous Training pipelines across AWS and Azure platforms.
• Design and implement the LLMOps framework, focusing on Retrieval-Augmented Generation (RAG) and vector database management.
• Establish secure data ingestion processes from legacy systems into cloud-native MLOps workflows.
• Develop automated model evaluation frameworks to ensure high performance before deployment.
• Implement observability and monitoring systems for model drift and performance metrics.
• Utilize Infrastructure as Code (IaC) tools like Terraform to manage AI resources effectively.
• Collaborate with analytics teams to ensure seamless data flow between production models and analytical platforms.
• Optimize model serving endpoints for high throughput and low latency using containerization and serverless architectures.

Requirements

• 6+ years of engineering experience with at least 3 years focused on MLOps or LLMOps in production.
• Proficiency in AWS and Azure, with hands-on experience configuring Bedrock and Azure OpenAI services.
• Expertise in Python, SQL, and PySpark, along with containerization tools like Docker and Kubernetes.
• Experience with observability frameworks such as LangSmith or WhyLabs.
• Strong understanding of statistical validation and model evaluation metrics.

Nice to Have

• Familiarity with additional cloud platforms or AI tools.
• Experience in a startup environment.
• Knowledge of security and compliance best practices in AI.

What We Offer

• Competitive salary ranging from $140,000 to $180,000 annually.
• Flexible remote work arrangements.
• Opportunity to work with cutting-edge AI technologies.
• Collaborative and innovative work environment.
• Professional development and growth opportunities.