Senior LLMOps/MLOps Engineer - Multi-Cloud AI Infra
Sedgwick
Phoenix (AZ)
Remote
USD 120,000 - 150,000
Full time
14 days+
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Benefits offered by this job
Work-life balance
Caring culture
Diverse and equitable workplace
Job summary
A leading insurance services company is seeking a skilled engineer to manage and optimize the lifecycle of AI initiatives. This role involves building automated infrastructure for multi-cloud environments, ensuring deployability and observability of models. Candidates should have significant engineering experience with a strong focus on MLOps in production settings, alongside proficiency in AWS and Azure services. This position offers the chance to work at the forefront of technology in a collaborative environment.
Qualifications
6+ years of engineering experience, with a minimum of 3 years in MLOps or LLMOps.
Deep hands-on proficiency in AWS Bedrock and Azure OpenAI services.
Expert knowledge in Python, SQL, and PySpark.
Responsibilities
Build and maintain automated CI/CD and CT pipelines across AWS and Azure.
Design infrastructure for RAG, including vector database management.
Ensure data connectivity from legacy systems into cloud-native workflows.
Implement frameworks for LLM evaluation and traditional ML validation.
Education
Bachelor’s degree in Computer Science or a related field
Master’s degree in a quantitative discipline
Tools
Python
SQL
PySpark
Docker
Kubernetes
Terraform
CloudFormation
Palantir
Databricks
Snowflake
Airflow
Kubeflow
Step Functions
LangSmith
Arize Phoenix
WhyLabs
Job description
A leading insurance services company is seeking a skilled engineer to manage and optimize the lifecycle of AI initiatives. This role involves building automated infrastructure for multi-cloud environments, ensuring deployability and observability of models. Candidates should have significant engineering experience with a strong focus on MLOps in production settings, alongside proficiency in AWS and Azure services. This position offers the chance to work at the forefront of technology in a collaborative environment.