5 genai engineer jobs at 5 companies in Wellington, FL
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Sr AI Engineer I - Global Servicing Technology
Sunrise, Florida, United States
$123k-$215k/yrHybridFull Time
American ExpressNYSE: AXP: Global financial services and credit card payment network.
7+ YOE7+ years in software engineering/ML or applied AI; experience with agentic AI, LLMs/GenAI, RAG/vector DBs; strong Python, backend/APIs, GCP (BigQuery, Composer, DataProc); experience with LangChain, PyTorch, TensorFlow, or scikit-learn.
FiservNew York Stock Exchange: FI: Provides financial technology and payment processing services to institutions.
4+ YOE4+ years COBOL/CICS/TCP/IP on IBM Mainframe, SDLC and testing experience, DB2/SQL, JCL, GenAI exposure, bachelor\u0002s degree or equivalent, ability to work occasional nights and weekends.
Tata Consultancy ServicesBSE: 532540: Global leader in IT services, consulting, and business solutions.
8+ YOE8+ years ML engineering experience building and deploying LLM/GenAI solutions; proficiency in Python, LangChain/LangGraph, LLM memory and state management; strong collaboration and ML production skills.
Large Language Models (LLMs), OpenAI, Anthropic, Llama, Mistral, LangChain, LangGraph, Python, GCP, Vertex AI, BigQuery, GCS
Louisville or Charlotte or Tampa or Fort Lauderdale or Washington or Chicago or Frisco or Atlanta or New York City or Nashville or Boston or Kentucky
$81k-$110k/yrRemoteFull Time
HumanaNYSE: HUM: Provides health insurance plans and clinical healthcare services.
3+ YOEBachelor's in CS/Engineering, 3+ years leading enterprise AI/GenAI initiatives, experience with LLMs, RAG, vector DBs, prompt engineering, Azure OpenAI/Azure/GCP, Responsible AI practices, and cross-functional leadership.
LLMs, RAG architectures, vector databases, agent orchestration frameworks, Azure OpenAI, Microsoft AI, Azure, Google Cloud Platform
Modernizing Medicine: Cloud-based software for medical practice management and EHR.
Experienced Technical Program Manager or Release Train Engineer to lead Agile Release Train ceremonies, manage dependencies and risks, align stakeholders, optimize value flow, and apply SAFe, SDLC, AI/ML, and generative AI practices.