Solution Architect - Agentic AI & Data

Job Description: Role Overview Design and lead enterprise-scale Agentic AI solutions using autonomous AI agents and LLMs. Work with clients to define AI strategies, architect scalable solutions, and guide delivery across industries. Key Responsibilities Design end-to-end AI and multi-agent architectures. Conduct client workshops and translate business needs into AI solutions. Build scalable, secure, and resilient AI systems. Implement Prompt Engineering and RAG-based solutions. Lead technical teams through solution delivery. Integrate AI with enterprise platforms and cloud services. Ensure Responsible AI, security, and compliance. Required Skills Enterprise AI/ML solution architecture. Generative AI, LLMs, and Agentic AI. Multi-agent frameworks (e.g., LangChain, Semantic Kernel). Prompt Engineering and RAG. Cloud platforms (AWS, Azure, GCP). Python and API integration. Distributed systems, data architecture, and MLOps. Strong communication, consulting, and stakeholder management. Preferred Technologies OpenAI, Vertex AI, Hugging Face. LangChain, Semantic Kernel. Vector databases and semantic search. Docker, Kubernetes, CI/CD. Security, AI guardrails, and Responsible AI practices. Show more Show less