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Builds AI agents, workflow automations, and Python-based tools using Azure and Microsoft Copilot Studio to automate business processes in live enterprise environments, focusing on financial services or regulated industries.
Lead AI-driven product strategy for Adobe’s GTM teams, building agentic workflows that automate planning, campaign execution, and seller productivity using LLMs and agentic architectures.
Advises on and experiments with agentic and generative AI systems to recommend scalable, responsible AI solutions for Desjardins Group’s AI initiatives.
Lead the design and deployment of enterprise-grade AI/GenAI solutions, including RAG pipelines and intelligent workflows, using Python, LLMs, and enterprise integrations.
Build and maintain production-grade LLM evaluation frameworks and pipelines for a legal-focused AI analytics platform, continuously benchmarking models and optimizing document understanding and summarization workflows.
Build and optimize distributed GPU training infrastructure for large neural networks, focusing on PyTorch, Megatron-LM, and DeepSpeed to maximize throughput and stability at scale.
Develops AI-driven backend services and agent orchestration systems for edge-cloud integration, focusing on LLMs, tool use, and real-time inference while collaborating with researchers and engineers.
Drive high-visibility programs at the intersection of AI and Finance for AWS, managing executive engagements between AWS Finance leaders and customer CFOs and building mechanisms to scale AI adoption across Amazon Finance.
Finance Manager leading pricing and financial analysis for AWS’s AI-powered contact-center products, partnering with business teams to drive growth and efficiency.
Design and build a multi-agent GenAI reasoning layer using Amazon Bedrock, RAG, and AWS services to power a voice/chat HUD FHA Resource Center with grounded, safe interactions.
Build and support Amgen’s internal generative AI platform, enabling teams to adopt tools like ChatGPT Enterprise and custom GPTs while ensuring responsible use and governance.
Design and deploy cutting-edge AI/ML applications, including LLMs and computer vision, in a defense-focused R&D environment requiring Secret clearance.
Build autonomous AI agents using LangChain, LangGraph, and AutoGen, integrating RAG, knowledge graphs, and fine-tuned SLMs for edge deployment.
Research engineer translating biometrics and AI research into scalable production software using ML/DL, computer vision, C++, and Python to build biometric recognition systems at Thales.
Build and deploy AI-powered agents, copilots, and automations to improve customer portals, service operations, and internal workflows using Python, Node.js, and AWS.
Lead a team to build data analytics, automation, and GenAI solutions for banking operations, using SQL, Python, Tableau, and LLMs to deliver insights and streamline workflows.
Develops AI-driven backend services and agent orchestration systems for edge-cloud integration, optimizing LLMs, APIs, and real-time inference pipelines to enhance HP’s intelligent devices and workflows.
Build production-grade AI systems (RAG, agents, APIs) for logistics operations, focusing on retrieval, evaluation, and cost-efficient deployment while owning end-to-end delivery.
Job Description We are seeking experienced AI Engineers / Agentic AI Developers to design, develop, and deploy enterprise-grade AI solutions with a focus on Agentic AI , Large Language Models (LLMs) , and…
As an Advanced AI Engineer at Honeywell Aerospace, you will provide technical contributions to the development of AI-driven engineering design tools and physics-based machine learning models. This role focuses on…
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