Experience Level : 14+ Years Full TimeNotice Period : Immediate to 15 daysLocation : Mumbai (Only Local candidates)Key responsibilities : - Share expertise on AI and generative technologies, offering thought leadership for COE Practice.- Architect scalable AI systems that seamlessly integrate with current needs.- Lead AI model development and implementation, staying abreast of the latest advancements in AI.- Conduct code reviews, troubleshoot, and optimize performance for top-notch solutions.- Experience in working on RFP/Presales activities, estimations and cloud migration strategies for applications.- Collaborate with cross-functional teams to drive innovation and meet project objectives.- Stay updated on industry trends and technologies to foster innovation and https://jobeax.com/link/4NntKqRfl6JG0W98 Stack : - Programming : Python, R, or Java- AI Libraries/Frameworks : TensorFlow, PyTorch, scikit-learn- Databases : Graph databases, vector stores, SQL, and NoSQL (ref:hirist.tech)
... looking for an experienced AI Architect to design and lead enterprise-grade AI solutions with a strong focus on Generative AI, Large Language Models (LLMs), Agentic AI, NLP, and Machine Learning. The role involves translating business requirements into scalable AI architectures and driving the design and implementation of AI ...
... looking for an experienced AI Architect to design and lead enterprise-grade AI solutions with a strong focus on Generative AI, Large Language Models (LLMs), Agentic AI, NLP, and Machine Learning. The role involves translating business requirements into scalable AI architectures and driving the design and implementation of AI ...
... enterprise AI and Generative AI architecture- Strong understanding of LLM integration, RAG, vector databases and agentic AI architectures- Experience designing AI copilots and enterprise AI integration patterns- Experience with Claude, Google Vertex AI and Google ADK- Strong knowledge of cloud-native architecture and data ...
... developments in Generative AI, LLMs, RAG, AI agents and Microsoft AI https://jobeax.com/link/VBP8ScSBiezZ7szs Skills:- 7+ years of experience in software architecture, AI/ML engineering or related technology roles.- Strong hands-on experience with Generative AI and LLM-based solutions.- Expertise in Azure OpenAI and Azure AI services.- ...
... of scalable and responsible AI https://jobeax.com/link/XnflZD2dGSZYgXFG Responsibilities : - Define the enterprise architecture and technical strategy for Generative AI and Agentic AI solutions.- Lead architecture and implementation of AI solutions using Microsoft Foundry, Azure OpenAI, and Azure AI services.- Evaluate ...
... Analytics, AI/ML, or related technology domains.- Significant hands-on experience designing and implementing Generative AI solutions.- Strong expertise in RAG, Agentic AI, LLM orchestration, prompt engineering, and AI application architecture.- Strong programming skills in at least one major language used for AI/GenAI development, ...
Job Description :GenAI Solutions Architect :Role Purpose :Lead the architecture and delivery of enterprise-grade Generative AI and Agentic AI solutions, translating business requirements into scalable, secure, and production-ready AI https://jobeax.com/link/rV84y7zx2OOzhnpa the technical vision from discovery and PoC through ...
Role Overview:In this role, you will design, build, and deploy Generative AI solutions, including LLM-powered applications, retrieval-augmented generation (RAG), and agentic workflows, integrated with enterprise data and systems. You will work alongside senior engineers to deliver reliable, scalable, and safe GenAI https://jobeax.com/link/zx1sxpZAabXefAIb ...
... as Code, application security, and observability.- Practical knowledge of AI/ML and Generative AI architecture.- Experience with LLMs, RAG, AI Agents/Agentic AI, vector databases, AI guardrails, or related AI architecture patterns is highly desirable.- Understanding of enterprise security, privacy, risk, and architecture ...
... overall experience, including at least 4 years in AI/ML.- Strong expertise in GenAI, LLMs, RAG, AI Agents, and AI Automation.- Hands-on experience with LangChain, LangGraph, MCP, Python, and vector databases.- Experience in AI architecture, MLOps, cloud platforms, and production deployments.- Proven AI/ML team leadership ...