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Build and deploy generative AI and LLM solutions on AWS using Python, RAG pipelines, and vector databases, collaborating with cross-functional teams to deliver production-ready AI systems.
Lead AI Engineer at Fiserv building AI-driven tools and reference architectures for fintech payment systems using Java, Python, and cloud-native stacks.
Lead AI Engineer at Fiserv building AI-driven tools and reference architectures for fintech payment systems using Java, Spring Boot, and cloud-native tech.
Build and maintain AI-native applications using Python, React, and LLM frameworks like LangChain and AWS Bedrock to automate and augment clinical and operational workflows in a regulated healthcare environment.
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 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.
Lead a team building enterprise automation and AI solutions using UiPath, Generative AI, and Agentic AI to streamline workflows and drive digital transformation at a global scientific solutions company.
Design and build enterprise-grade Generative AI apps using LLMs, RAG, and vector databases, and deploy them on cloud platforms.
Senior Analyst builds, deploys, and governs AI agents and workflow automations for healthcare and life-sciences clients using Azure AI Foundry, Copilot Agent Builder, and Anthropic, while driving adoption and training across organizations.
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.
Designs and builds cloud-native generative AI applications using LLMs, orchestration, and cloud services while collaborating with data scientists and platform engineers.
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.
Develop AI/ML-powered mobile and web apps for a global media giant, integrating models for personalized content, search, and dynamic experiences while collaborating with cross-functional teams.
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.
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.
Build and deploy AI solutions (copilots, agents, RAG apps) on Azure OpenAI and related platforms, partnering with business teams to solve real problems end-to-end in a regulated healthcare setting.
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