Description

Defines end-to-end AI solution architectures across cloud, data, models, and integration layers.

This role is on-site.

Responsibilities

• Design and develop modular Agentic AI architectures supporting dynamic agents, tools, and reusable skills.
• Build reasoning and orchestration layers using Deterministic logic (rules, workflows, enterprise patterns) and Probabilistic AI (LLMs, embeddings, semantic reasoning).
• Implement agent orchestration using Model Context Protocol (MCP / FastMCP), Google ADK, LangGraph, LangChain, and RAG.
• Guide technology selection and create reference implementations for scalability, security, and compliance.
• Build reusable agent patterns, orchestration layers, and capability abstractions.

Required Skills

• 10+ years in Solution/Enterprise Architecture or Software Engineering.
• 5+ years as a Lead/Senior Architect or Senior Technical Lead for large IT projects spanning multiple enterprise systems.
• 2+ years of hands-on AI development and deployment.
• Proven experience delivering production-grade AI products.
• Strong track record in cloud modernization and migration initiatives.
• Proficiency with LLMs and related AI technologies.
• Bachelor's degree in Computer Science or related field.

Key Skills

Education

Bachelor's degree