Senior LLM & MLOps Engineer — Multi-Cloud Pipelines

Sedgwick; Houston (TX); On-site; USD 120,000 - 150,000; Full time

Job summary

Sedgwick is seeking a highly skilled engineer for their Transformation Office in Houston, Texas. This role focuses on optimizing and maintaining AI infrastructure and models across AWS and Azure platforms. Candidates should have deep proficiency in MLOps and LLMOps with at least 6 years of experience, along with strong skills in Python, SQL, and containerization technologies. A Bachelor's degree is required, and a Master's degree is a plus. This position offers an exciting opportunity within a diverse and inclusive workplace.

Qualifications

• 6+ years of engineering experience, with a minimum of 3 years focused on MLOps or LLMOps.
• Deep, hands-on proficiency in AWS and Azure ecosystems.
• Expertise in Python, SQL, and PySpark.

Responsibilities

• Build and maintain automated CI/CD and CT pipelines across AWS and Azure.
• Design infrastructure for Retrieval-Augmented Generation (RAG).
• Optimize model serving endpoints for high throughput and low latency.

Skills

MLOps

LLMOps

Python

SQL

PySpark

Docker

Kubernetes

AWS

Azure

Education

Bachelor’s degree in Computer Science or related field

Master’s degree in quantitative discipline

Tools

Terraform

CloudFormation

Airflow

Kubeflow

LangSmith

Arize Phoenix

WhyLabs

Job description

Sedgwick is seeking a highly skilled engineer for their Transformation Office in Houston, Texas. This role focuses on optimizing and maintaining AI infrastructure and models across AWS and Azure platforms. Candidates should have deep proficiency in MLOps and LLMOps with at least 6 years of experience, along with strong skills in Python, SQL, and containerization technologies. A Bachelor's degree is required, and a Master's degree is a plus. This position offers an exciting opportunity within a diverse and inclusive workplace.