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We are seeking a skilled Generative AI Platforms Architect to lead and define the architecture for our enterprise GenAI platform. The role involves creating reference architectures, guardrails, and roadmaps to deliver…
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.
Build and deploy enterprise-scale AI systems for defense intelligence, focusing on agentic AI, MLOps, and GPU-optimized inference in classified environments.
Lead the design and operation of AI-driven agentic systems to modernize legacy mainframe code (COBOL, JCL, DB2) into verified, production-ready services using Kotlin/JVM and cloud-native tooling.
Build and deploy generative AI systems and LLM-powered applications, including RAG pipelines and agent workflows, while engineering robust data and ML pipelines for production use at a climate-tech and smart-building company.
Builds enterprise-grade generative AI applications like chatbots and search engines using large language models, fine-tuning, and RAG pipelines in a collaborative AI-first company.
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.
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 AI Engineer builds and runs secure, scalable generative-AI systems on AWS using Python/.NET, integrating them with enterprise apps and data while leading the full engineering lifecycle.
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.
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.
Senior AI engineer builds and deploys production-grade AI systems—LLM integrations, RAG pipelines, agentic workflows, and MLOps—using Python, cloud platforms, and AI orchestration frameworks for an insurance company.
By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice…
Date Posted: 2026-07-27

 Country: United States of America

 Location: US-IA-CEDAR RAPIDS-124 ~ 400 Collins Rd NE ~ BLDG 124

 Position Role Type:…
Architect - AI platforms Implementation and Integration Location: Jersey City, Charlotte Time Type: Full time Job Description Job Description: At Bank of America, we are guided by a common purpose to help make…
3Pillar is an AI transformation partner on a mission to help enterprises build the AI-native products and intelligent agents that will define the next era of business. With teams across North America, Europe, Latin…
Builds and deploys GenAI-enabled solutions for government clients using Palantir platforms, working on-site with stakeholders to deliver measurable impact.
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