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Job Description Summary GE HealthCare’s Chief Data and Analytics Office (CDAO) delivers innovative data, insights, and AI solutions across the organization. Our Enterprise AI team drives a diverse portfolio of Machine…
Lendistry is an Equal Opportunity/Affirmative Action Employer. We consider applicants without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender, gender identity, gender expression,…
We are seeking a Technical AI Consultant who excels at combining hands-on engineering, customer engagement, and rapid AI solution delivery. Join our team to assist clients in integrating AI into their operations,…
Build and scale Capital One’s enterprise Generative AI platform, designing agentic workflows, guardrails, and SDKs to power AI applications used by millions of customers and internal teams.
Become a part of our caring community The Enterprise AI organization at Humana is a pioneering force, driving AI innovation across our Insurance and CenterWell business segments. By collaborating with world-leading…
Build and deploy LLM-powered agentic systems, RAG pipelines, and MLOps tooling end-to-end, ensuring scalable, observable, and reliable AI solutions in production.
Build and operate production AI systems for an enterprise intelligence platform, focusing on LLM applications, retrieval, ML, and data pipelines to turn noisy data into reliable stakeholder insights.
Build and deploy enterprise-scale AI systems for defense intelligence, focusing on agentic AI, MLOps, and GPU-optimized inference in classified environments.
Build and deploy production-grade agentic AI systems for enterprise clients, including multi-agent orchestration, RAG pipelines, and LLMOps tooling.
Lead a team building production-grade generative AI systems (RAG, agents, LLM APIs) for enterprise platforms, using Python, FastAPI, LangChain, and cloud AI services.
Lead the design and standardization of AI/ML agent systems, memory architectures, and RAG pipelines for financial document processing, setting engineering best practices across teams.
Working with Us Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens…
Designs and deploys autonomous AI agent workflows for enterprise use, integrating LLMs, orchestration frameworks, and cloud services to automate multi-step tasks in a life-sciences company.
Senior engineer builds and operates large-scale LLM serving infrastructure using Kubernetes, observability, and cost-aware tuning to ensure reliable AI production systems at a global bank.
Design, build, and deploy production-ready Generative AI systems using LLMs, RAG, and agentic frameworks for a cloud-based AI consultancy.
Builds a React/Node.js/Python-powered internal developer portal with LLM agents, orchestration layers, and AI-driven search to help thousands of Adobe engineers work faster.
Designs and governs enterprise-scale AI architectures (traditional ML, generative AI, and agentic systems) for a global insurance claims and risk-management company, aligning technology with business transformation across multiple regions.
Lead AI/ML initiatives at JPMorgan Chase, designing and deploying agentic/GenAI solutions with LLMs and frameworks like Langchain to solve business problems in a secure, scalable environment.
Build and deploy AI agents and knowledge systems to accelerate drug delivery R&D at Eli Lilly, turning complex scientific data into actionable insights and automated workflows.
Senior engineer building and operating a provider-agnostic GenAI platform with guardrails, retrieval, agentic infrastructure, and observability for internal teams at a large investment management company.
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