4 llmops engineer jobs at 3 companies in Connecticut

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Principal AI Engineer
Hartford or Columbus or Charlotte or Chicago
$168k-$253k/yr HybridFull Time
The Hartford
The HartfordNYSE: HIG: Provides business and personal insurance, group benefits, and investments.
10+ YOE10+ years building cloud-native, data-intensive AI/ML platforms; strong Python and Typescript; cloud experience (AWS/GCP/Azure); experience with distributed systems, embeddings, vector search, and MLOps/LLMOps.
AWS, GCP, Google Cloud, Azure, Python, Typescript, CI/CD, NoSQL, HPCs, LangGraph, crewai, RAG, vector stores, ANN, KNN
1mo
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Staff Software Engineer - AI
Hartford or Charlotte
$128k-$191k/yr HybridFull Time
The Hartford
The HartfordNYSE: HIG: Provides business and personal insurance, group benefits, and investments.
Deep AI/ML and software engineering expertise with experience building agentic and generative AI systems; proficiency in Python/Java/C++; cloud and MLOps experience; test automation and Git skills; strong problem-solving and collaboration.
Python, Java, C++, Playwright, MLflow, Kubeflow, Docker, Git, LangGraph, Crew AI, Semantic Kernel, AWS, Azure, GCP, LLMOps, MLOps, Gemini, Claude
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Principal AI & Data Architect
Shelton, Connecticut, United States
HybridFull Time
Pitney Bowes
Pitney BowesNYSE: PBI: Provides global shipping, mailing technology, and logistics solutions.
15+ YOE15+ years enterprise experience in data/AI architecture, cloud platforms (AWS/Azure/GCP), data governance, MLOps/LLMOps, building enterprise-scale platforms, and leading cross-functional teams.
AWS, Azure, GCP, MLOps, LLMOps
2w
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Senior Director, AI Platform Architecture
North Carolina or New York or Colorado or California or Maryland or Ohio or Virginia or New Jersey or Pennsylvania or Illinois or Georgia or Texas or Massachusetts or Florida or Connecticut
$168k-$278k/yr RemoteFull Time
Thermo Fisher Scientific
Thermo Fisher ScientificNYSE: TMO: Sells equipment and chemicals for scientific research and healthcare.
12+ YOEBachelor's required (advanced degree preferred),12+ years in software/data/AI platform leadership, experience building/scaling AI/ML platforms, MLOps/LLMOps, cloud and modern data architectures, regulated environments preferred, US work authorization required, background check.
Snowflake, Databricks, Open AI