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.