6 llmops engineer jobs at 4 companies in Beacon, NY
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AI Orchestration Engineer
Quincy or Berwyn or Princeton or Clifton
$90k-$158k/yrOnsiteFull Time
State StreetNYSE: STT: Provides investment servicing and management to institutional investors.
3+ YOEBachelor's degree and 3+ years in data/AI engineering or related fields; experience with Python, SQL, large-scale data pipelines, RAG, MLOps/LLMOps, and AI governance in regulated environments.
Quincy or Toronto or Berwyn or Princeton or Clifton
$120k-$203k/yrOnsiteFull Time
State StreetNYSE: STT: Provides investment servicing and management to institutional investors.
3+ YOE3+ years in data/AI engineering or related field, bachelor's degree or equivalent, experience with large-scale data pipelines, Python and SQL, AI orchestration, RAG, MLOps/LLMOps, and governance.
Quincy or Toronto or Boston or Princeton or Clifton or Austin
$120k-$218k/yrHybridFull Time
State StreetNYSE: STT: Provides investment servicing and management to institutional investors.
10+ YOELead and deliver enterprise-scale AI, security automation, and data platforms; 10+ years software engineering, 4+ years AI/ML/Generative AI experience, strong cloud, CI/CD, RAG and security background; Master's preferred.
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.
Director, AI & Advanced Data Learning & Development
Purchase or New York City
$175k-$293k/yrOnsiteFull Time
MastercardNYSE: MA: Global payment processing and financial technology service provider.
Extensive experience in Learning & Development for advanced AI/data roles; leadership in matrix organizations; track record with AI/ML, data, and engineering.
ML frameworks, Data platforms, MLOps, LLMOps, AI systems
Ralph LaurenNYSE: RL: Designs and sells premium lifestyle products including apparel and home goods.
12+ YOE12+ years in data platform management or cloud architecture; bachelor’s degree in CS/Data Engineering/IS (master’s preferred); expertise in cloud (AWS, Azure, GCP), lakehouse architectures, data governance, FinOps, and AI/ML enablement; proven leadership building global platforms.