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Обязанности: Проектирование, развертывание и сопровождение инфраструктуры платформы генеративного ИИ; Автоматизация процессов сборки, тестирования, поставки и развертывания решений; Управление средами разработки,…
Salary: £90,000 - 100,000 per year Requirements: Proven experience as an AI Architect, Enterprise Architect or Machine Learning Architect delivering enterprise AI solutions. Strong experience designing end-to-end AI/ML…
This role involves joining a modernization program to design, develop, and industrialize generative AI and agentic systems. The team is looking for experts in AI architecture, DevOps, and agent development to oversee technical standards and system integration.
Senior Product Manager for Coles’ Data and AI team, owning complex AI-driven retail products across multiple squads. Focuses on defining product vision, aligning business value, and leading cross-functional teams to deliver AI/ML solutions for retail operations, supply chain, and customer experience.
The AI Engineer will design and operate a global AI platform, managing runtime services, RAG components, and AI governance for Allianz Technology. The role focuses on building scalable, secure, and cost-efficient infrastructure using Kubernetes, MLOps tools, and cloud-native technologies.
The Azure AI Foundry Architect designs and governs secure, scalable enterprise AI platforms using Azure AI Foundry and Azure OpenAI services. This role focuses on defining deployment standards, model access patterns, and AI evaluation frameworks to support retail-focused business initiatives.
Команда развивает AI-трансформацию блока «Финансы». Наши решения работают с задачами ценообразования на портфельном и индивидуальном уровне, единых трансфертных ставок банка, бизнес-планирования и других финансовых…
Hands-on technical leadership role designing and delivering production-grade Generative AI and Agentic AI solutions, including LLM-powered applications, RAG pipelines, multi-agent architectures, and LLMOps using Python, agent frameworks, and cloud platforms.
At TAL, we’re committed to protecting what matters most for Australians, and this role plays a key part in shaping how emerging technology supports that mission. As Engineering Manager, AI & Emerging Technology,…
The AI Engineer will develop and deploy multi-agent systems using LLMs, LangChain, and LangGraph to automate financial processes. The role involves building RAG pipelines, optimizing prompts, implementing LLMOps, and ensuring production-grade observability and evaluation for AI agents.
DevOps AI Platform Engineer designing, developing, and maintaining enterprise GenAI solutions (RAG, agentic workflows, conversational AI) on Azure, with CI/CD, LLMOps, and L3 support responsibilities using Python/TypeScript.
Lead enterprise-scale GenAI implementations for Fortune 500 clients, designing and building production-grade LLM, RAG, and agent-based systems using Python, cloud platforms (AWS/Azure/GCP), and frameworks like LangChain.
Embedded engineer who modernizes customer data platforms and builds OpenAI-powered AI workflows, focusing on data pipelines, agentic AI, and enterprise AI solutions.
Hands-on technical leadership role designing, developing, and deploying advanced AI/ML solutions—including LLM applications, RAG, and agentic workflows—for scientific products at a major life sciences company. Core stack: Python, PyTorch, LangChain, LangGraph, Azure OpenAI, and vector search.
Full Stack AI Engineer at an InsurTech startup building and deploying GenAI/LLM solutions including RAG applications, AI agents, copilots, and intelligent document processing using Python, Azure, and various LLM frameworks.
Career Category Engineering Job Description About Amgen At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all…
The Associate Director of Data Science leads a team in developing and deploying scalable AI solutions, including predictive analytics and Generative AI, within the insurance sector. This role combines strategic leadership, technical guidance, and cross-functional partnership to drive business adoption of AI products.
Hands-on senior AI/ML engineer leading the design, development, and production deployment of LLM, RAG, and agentic AI solutions for life sciences and healthcare applications using Python, PyTorch, LangChain, and Azure OpenAI.
Leads end-to-end AI/ML development for scientific workflows, deploying LLMs, RAG, and agentic systems in healthcare/genomics to improve customer outcomes and innovation.
The Senior Machine Learning Engineer will design, build, and operate production-grade AI systems, specifically RAG applications and Intelligent Document Processing pipelines, for federal clients using AWS GovCloud. The role requires deep expertise in LLMs, vector databases, and secure, compliant software engineering practices.
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