9 generative ai engineer jobs at 7 companies in Beacon, NY
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Generative AI Lead Engineer
Dallas or Stamford or Chicago
$120k-$140k/yrHybridFull Time
CognizantNasdaq: CTSH: Provides IT consulting and digital business process services.
Strong experience with generative AI, LLMs and prompt engineering; hands-on development using .NET, React, Python; designing RAG pipelines, model training/fine-tuning, and Azure deployments.
CognizantNasdaq: CTSH: Provides global information technology and business process outsourcing services.
Generative AI, LLMs, prompt engineering; hands-on with .NET, React, Python; AI/ML architecture design (RAG); model training and optimization; Azure deployment
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.
Senior Director - Distinguished Applied AI Scientist
Tarrytown or Warren or Armonk
$242k-$403k/yrHybridFull Time
RegeneronNasdaq: REGN: Discovers and manufactures medicines for serious diseases.
15+ YOEAdvanced degree plus 15+ years in AI/ML research and engineering, expertise in foundation models and generative AI, deep learning architectures, experience with model pre-training/scaling, Python and PyTorch proficiency.
Applications Development Technology Lead – Vice President
Rutherford, New Jersey, United States
$142k-$213k/yrHybridFull Time
CitiNYSE: C: Providing global banking, investment, and wealth management services.
6+ YOE6+ years software engineering experience with cloud-native architecture, microservices, React/TypeScript, data engineering, Generative AI/LLMs, SAFe Agile, CI/CD, Docker/Kubernetes, and strong communication in enterprise financial environments.
KPMG: Global professional services network providing audit, tax, and advisory.
3+ YOE3+ years data science or ML engineering experience, bachelor’s degree required (master’s preferred), experience with LLMs and generative AI, Python, Azure/Databricks/Microsoft Fabric, Git and Azure DevOps, strong problem-solving and communication skills.