Sedgwick · 1 week ago
Senior Engineer - LLMOps & MLOps
United States
Full-time
Remote
Senior Level
6+ years expSedgwick is a leading claims management services company that values a caring culture and work-life balance. They are seeking a Senior Engineer specializing in LLMOps and MLOps to oversee the production lifecycle of AI initiatives, build automated infrastructure, and ensure the scalability and observability of AI applications in a multi-cloud environment.
BankingHuman ResourcesProperty & Casualty InsuranceEmployee BenefitsInsuranceRisk Management
Responsibilities
Build and maintain automated CI/CD and CT (Continuous Training) pipelines across AWS (SageMaker/Bedrock) and Azure (AI Studio)
Design and execute the infrastructure for Retrieval-Augmented Generation (RAG), including vector database management (OpenSearch, Pinecone, or Azure AI Search) and semantic index optimization
Build the engineering "pipes" to securely ingest and move data from legacy systems (Mainframes, SQL Server, on-prem DBs) into cloud-native MLOps workflows
Implement systemized frameworks for LLM evaluation (LLM-as-a-judge, ROUGE, METEOR) and traditional ML validation to ensure performance before deployment
Deploy real-time monitoring for model drift, hallucination detection, latency, and token consumption to manage both quality and cost
Manage all AI resources using Terraform or CloudFormation, ensuring the cloud posture is reproducible, secure, and follows a "Privacy by Design" mandate
Partner with teams using platforms like Palantir, Databricks, or Snowflake to ensure a high-fidelity data flow between analytical ontologies and production models
Work directly with central IT and Security to navigate IAM roles, VPC peering, and firewall configurations, clearing the path for rapid transformation
Optimize model serving endpoints for high-throughput and low-latency, utilizing containerization (Docker/Kubernetes) and serverless architectures where appropriate
Establish rigorous version control for prompts (PromptOps), model weights, and data snapshots to ensure 100% auditability and rollback capability
Support the data science lifecycle by automating feature stores, feature engineering pipelines, and the transition of experimental notebooks into hardened production microservices
Implement automated scanning and guardrails (e.g., Bedrock Guardrails or Azure Content Safety) to prevent prompt injection and data leakage
Qualification
Required
Bachelor's degree in Computer Science or a related field required
6+ years of engineering experience, with a minimum of 3 years strictly focused on MLOps or LLMOps in a production environment
Deep, hands-on proficiency in both AWS and Azure ecosystems
Expert Python, SQL, and PySpark
Extensive experience with containerization (Docker, Kubernetes) and orchestration tools (Airflow, Kubeflow, or Step Functions)
Professional experience with evaluation and observability frameworks like LangSmith, Arize Phoenix, or WhyLabs
A strong understanding of statistical validation, model evaluation metrics
The ability to move at the speed of a startup while maintaining collaborative relationships within a large-scale enterprise IT landscape
Preferred
Master's degree in a quantitative discipline highly desirable
Company
Sedgwick
Sedgwick is the world’s leading risk and claims administration partner, helping clients thrive by navigating the unexpected.
10001+ employees
H1B Sponsorship
Sedgwick has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
74%
Represents job field similar to this job
Engineering and Development
Accounting and Finance
Customer Service and Support
Management and Executive
Trends of Total Sponsorships
*2026 (4)
2025 (11)
2024 (10)
2023 (4)
2022 (9)
2021 (14)
2020 (10)
Funding
Current Stage
Late StageTotal Funding
$1.5BKey Investors
Altas PartnersLa Caisse
2024-09-12Private Equity· $1B
2018-12-01Private Equity
2018-09-12Acquired
Leadership Team
Michael Arbour
Chairman & Chief Executive Officer
Kalani Reelitz
Global Chief Financial Officer
Recent News
2026-06-11
Coverager - Insurance news and insights
2026-06-10
bloomberglaw.com
2026-05-12
Company data provided by crunchbase