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Join our Team About the opportunity Ericsson’s Service Architecture team, within Service Management in the Operate Service Line, seeks an AI & Cloud Architect to define the strategy for an enterprise AI…
About Us At Datacom, we combine technology, expertise, and talented people to help organisations thrive in a rapidly changing world. As one of Australasia's leading technology providers, we work with customers…
Build and maintain AI-powered software development tools and agents for a large U.S. bank, using Python, React, and Azure AI services to enhance developer productivity.
Senior Manager Generative AI Architect at PwC Bangalore, designing and implementing enterprise Agentic AI frameworks, RAG architectures, and multi-agent systems while leading client engagements across cloud AI platforms.
Line of Service Advisory Industry/Sector Not Applicable Specialism Operations Management Level Senior Manager Job Description & Summary At PwC, our people in business application consulting specialise in consulting…
Senior AI Engineer designing, building, and operating production-grade Generative AI solutions on the Microsoft Azure AI ecosystem—from model selection and RAG architecture through deployment, MLOps, security, and governance.
Forward Deployed Engineers (FDEs) are the people we put in the room when a problem is ambiguous, the data is messy, and a working solution needs to exist in weeks, not quarters As an FDE at Elixirr, you will embed with…
Overview Commercial Engineering & AI (CEAI) partners closely with stakeholders to accelerate the transformation of Microsoft’s commercial business into a frontier organization. We bring together AI‑native…
Design and implement Agentic AI solutions, build data pipelines for RAG systems, and develop LLM-based applications using frameworks like LangGraph/LangChain for Thales Group's defense-sector R&D projects.
Overview With more than 45,000 employees and partners worldwide, the Customer Experience and Success (CE&S) organization is on a mission to empower customers to accelerate business value through differentiated…
Overview Microsoft Industry Solutions – Global Center for Innovation and Delivery (GCID) delivers end‑to‑end, industry‑aligned solutions by accelerating the adoption of Microsoft technologies. With a global team of…
The Principal AI Software Developer leads the design and implementation of large-scale, mission-critical AI and LLM systems for federal agencies using a modern cloud stack including Next.js, Terraform, and major cloud providers. This hands-on role involves architecting AI solutions, establishing MLOps practices, and ensuring compliance with federal security and AI policy standards.
Hands-on software engineer manager building AI-driven workflow and automation solutions at State Street Investment Management using Python, Google Gemini Enterprise, LangChain/LangGraph, and cloud services in a regulated financial environment.
Designs and deploys agentic AI systems for medical imaging, combining LLMs, RAG, knowledge graphs, and tool orchestration to solve complex healthcare workflows.
Builds and deploys AI/GenAI solutions (LLMs, RAG, agentic systems) to improve insurance sales, fraud detection, and customer experience using Python, SQL, and cloud platforms like Azure and Databricks.
Senior AI/ML Engineer defining architecture, standards, and governance for AI/ML platforms, agent frameworks, and MCP strategy within Network Intelligence at an ISP, primarily using Python, LLMs, and agentic orchestration technologies.
The Senior AI/ML Engineer will design and deploy enterprise-scale AI systems, including intelligent agents and copilots, using Python, LLMs, and RAG architectures. The role focuses on building scalable, production-grade AI services within a cloud-native environment.
Design and deliver enterprise-grade generative AI solutions using Azure OpenAI, LangChain, and RAG pipelines to build AI agents and scalable AI infrastructure.
Build and maintain Nexxen’s internal AI platform, designing reusable AI capabilities, multi-agent systems, and production-grade AI services using Python, Kubernetes, and modern cloud-native tools.
Architect and build production-grade GenAI systems including RAG pipelines, LLM integrations, and agentic applications using Python, FastAPI, vector databases, and cloud platforms (AWS/Azure) at a data analytics scale-up.
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