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Why Keyrus, Why Now! Keyrus is an international group of 2,800 consultants and experts across 28 countries , built on a single conviction: AI does not transform businesses. Architected intelligence does. For more than…
Designs and deploys production-grade AI agents using LLMs, agent orchestration frameworks, and enterprise systems to automate complex workflows via natural language interactions.
Architect and lead AI-driven product development, defining roadmaps and KPIs while integrating LLMs, vector DBs, and cloud-native systems for enterprise clients.
Senior architect designing and delivering AI-first, cloud-native applications and solutions for Microsoft’s Global Center Innovation and Delivery Center, focusing on full-stack engineering, AI integration (Azure AI services, GitHub Copilot), and scalable DevOps practices.
Build, deploy, and maintain AI/ML models and services, including Generative AI and RAG systems, using Python, PyTorch, and cloud-native tools.
The AI Engineer will design, build, and deploy enterprise-grade Generative AI applications, including RAG solutions and agentic workflows, to support digital transformation. The role involves hands-on development with LLMs, Python, and cloud AI platforms while ensuring system performance, safety, and governance.
Hands-on data engineer building production data pipelines and agentic AI components (RAG, tool-calling agents) for clinical and non-clinical data at Lilly, using Python, Spark/PySpark, Databricks, and LLM frameworks in a regulated pharma environment.
Build and deploy generative AI features and full-stack apps to modernize Barclays’ platform, using Python/Java, cloud-native tools, and enterprise-grade security.
Builds AI-powered automation solutions for internal business processes (Finance, HR, Logistics) by designing agentic systems, integrating LLMs/RAG, and deploying scalable production-grade models while ensuring security, governance, and observability.
Lead hands-on design and delivery of AI solutions, agents, copilots, and RAG workflows using Azure AI and Databricks, while establishing reusable engineering patterns and guiding teams from prototypes to production.
Builds and supports AI agents, copilots, RAG workflows, and automation solutions for Acosta Group, using GenAI/LLM frameworks (LangChain, LangGraph, CrewAI, etc.) and enterprise platforms like Azure AI and Microsoft Copilot Studio.
The Solutions Architect will design and deploy enterprise-grade agentic AI solutions for clients, integrating Mastercard's payment technology into complex environments. This role involves hands-on technical leadership, architecture design, and collaboration with cross-functional teams to ensure secure and scalable AI implementations.
Lead hands-on design and delivery of AI agents, copilots, and RAG solutions using Azure AI and LLMs, establishing reusable patterns and guiding teams from prototype to production.
Leads AI agent and copilot development for enterprise workflows, designing reusable components and integrations while ensuring scalability, security, and responsible AI deployment.
RESPONSIBILITIES & TASKS: AI Solution Development Design, develop, test, and deploy AI/ML models supporting business and operational outcomes. Build and maintain AI services, APIs, and microservices for enterprise…
The Lead AI Engineer / AI Solutions Delivery Lead will provide hands-on technical leadership for the design and delivery of priority AI solutions, agents, copilots, intelligent workflows, prototypes, and reusable…
The Senior AI Engineer / Agent Development Lead will expand Acosta Group’s hands-on engineering capacity for AI agents, copilots, workflow automations, integrations, reusable components, and deployment support. This…
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