- Architect and deploy GenAI applications using Azure, AWS, or GCP. - Leverage cutting-edge LLMs, Microsoft Semantic Kernel, and AutoGen to build intelligent single-agent and multi-agent systems for real-world business impact. - Collaborate with product, business, engineering, and data teams to solve enterprise challenges with scalable AI. - Lead technical execution, mentor engineering talent, and champion best practices in MLOps, CI/CD, and cloud AI. - Rapidly prototype solutions—think conversational orchestration, multimodal agents, RAG, and deep learning. - Deliver production-grade, compliant AI models using tools like AI Foundry and advanced frameworks. - Own documentation, process improvement, and innovation across the AI product lifecycle. What You Bring - 6-8 years in hands-on AI/ML, with 3+ years in generative AI and LLM integration (OpenAI, HuggingFace, Anthropic). - Deep Python, NLP,



and ML framework experience (TensorFlow, PyTorch, LangChain). - Proven cloud deployment (Azure/AWS/GCP) and solid ML system architecture skills. - Experience designing and orchestrating agentic AI (single/multi-agent) workflows, with practical knowledge of AutoGen and Semantic Kernel. - Familiarity with Microsoft AI Foundry for model governance and lifecycle management. - Thought leadership—team mentoring, patents, publications, or conference presentations a plus. - Prior team leadership or mentoring in product-driven AI environments. - Experience with GPU/CUDA optimization and scalable deep learning. - Passion for ethical AI, compliance, and industry best practices.

📌 Senior AI Solution Architect - Specialist Advisor (Bengaluru)
🏢 Nameless
📍 Bengaluru