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Lead AI engineering for generative-AI copilots and RAG systems in a regulated financial-services environment, building production-grade Python/LLM pipelines on Azure.
Lead a team building secure, scalable financial platforms using cloud-native tools and advanced programming to deliver trusted products for JPMorgan Chase.
Build production-ready AI features using Azure OpenAI, RAG pipelines, and MCP agents to enhance SaaS workflows like onboarding and data intake.
Advises on and experiments with agentic and generative AI systems to recommend scalable, responsible AI solutions for Desjardins Group’s AI initiatives.
Design and deploy enterprise AI solutions on Red Hat OpenShift AI, including GenAI, agentic AI, and MLOps workflows, while advising customers and leading project teams.
We are building a portfolio of agentic operations — production-grade AI agents that plan, act, and continuously improve the everyday experiences of our employees. The mission is to eliminate friction from the moments…
Design enterprise AI solutions using generative agents, RAG, and ITSM/AIOps workflows to automate IT support, diagnostics, and operations with human-in-the-loop oversight.
Build and scale Java-based microservices for global e-commerce platforms, integrating Agentic AI to automate development tasks and enhance supply chain systems.
Build and ship AI-powered features into existing C#/.NET products using Azure AI, RAG, and agentic workflows, taking ideas from proof-of-concept to production.
Designs and leads enterprise-scale .NET/Python architectures for PNC’s lending tech, focusing on cloud-native microservices, AI/ML integration (LLMs, agents), and modernizing legacy systems to improve operational efficiency and customer experience.
Build and own production ML/AI components for Amgen’s AI Studio, including GenAI, RAG, and retrieval systems, using Python, SQL, and cloud services.
Senior ML engineer building and scaling enterprise-grade AI/ML platforms, MLOps pipelines, and GenAI services for a global biotech company.
Build and deploy production ML and GenAI components—models, RAG systems, agents, and pipelines—using Python, SQL, and cloud services to power Amgen’s healthcare-focused AI products.
Senior ML engineer building and scaling enterprise-grade AI/ML and GenAI platforms, including MLOps pipelines, model services, and full-stack applications for Amgen’s healthcare data needs.
Build, deploy, and monitor ML models and MLOps pipelines on AWS for forecasting and GenAI apps in a biotech setting.
Designs and leads enterprise-scale .NET/Python architectures for PNC’s lending tech, focusing on cloud-native, AI-driven solutions, microservices, and event-driven systems to modernize legacy platforms and drive business growth.
About Williams-Sonoma, Inc. Founded in 1956 and headquartered in San Francisco, California, Williams-Sonoma, Inc. is a Fortune 500, digital first, multi-channel specialty retailer. Our company vision is to own the…
Builds and deploys autonomous AI agents, multi-agent systems, and generative AI solutions using frameworks like LangChain, AutoGen, and Azure OpenAI to automate enterprise workflows, enhance decision-making, and deliver scalable AI-driven business value.
Build and operate the interface, semantic layer and controls that let AI agents safely interact with IFS enterprise software, focusing on MCP servers, knowledge graphs and agentic workflows.
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