Agentic AI Solutions Architect

We are looking for a hands-on AI Architect with strong experience in Agentic AI, Generative AI, and enterprise digital platforms. The candidate will design and implement scalable, secure, production-ready AI solutions and work closely with business and technical teams.

Key Responsibilities

• Design and implement Agentic AI and multi-agent architectures.
• Develop AI solutions using LLMs, RAG, MCP, and agent frameworks.
• Integrate AI agents with enterprise applications, retail, commerce, and payment systems.
• Establish LLMOps standards for monitoring, evaluation, security, and cost control.
• Lead technical design, Python development, code reviews, and architecture decisions.
• Collaborate with business stakeholders and onshore/offshore delivery teams.

Required Skills

• 12–18 years of enterprise architecture experience, including 3–4+ years in AI/ML or GenAI production solutions.
• Hands-on experience with Lang Graph, Lang Chain, Semantic Kernel, CrewAI, or Auto Gen.
• Strong Python, API, distributed systems, and event-driven architecture skills.
• Experience with RAG, MCP, prompt engineering, and LLMOps tools.
• Retail, e-commerce, loyalty, payments, or commerce platform experience preferred.
• Strong communication, technical leadership, and problem-solving skills.