Information Governance Architect: Data Quality & Policy Lead
Listed on 2026-10-22
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Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, AI Reliability/ Performance Engineer, Python
JD:
Senior AI Engineer (Agentic AI, MCP, RAG) - Onsite
Experience:
10-15 Years
Location:
Onsite
Job Summary
We are seeking a Senior AI Engineer to design, develop, and deploy next-generation Agentic AI solutions leveraging MCP, RAG, and Python-based AI development frameworks. The role will drive the creation of intelligent agents, orchestration frameworks, and enterprise AI applications
Key Responsibilities
• Design and develop Agentic AI solutions and autonomous workflows.
• Build RAG-based enterprise knowledge systems.
• Develop AI agents using LLM orchestration frameworks.
• Implement MCP-based integrations and context management.
• Engineer prompt strategies and reasoning workflows.
• Collaborate with data engineers and business stakeholders.
• Evaluate and integrate emerging GenAI technologies.
Required Skills
• 10+ years of software engineering experience.
• Strong proficiency in Python.
• Hands-on experience with Large Language Models (LLMs).
• Expertise in Agentic AI architectures.
• Experience with RAG implementation and vector databases.
• Knowledge of MCP (Model Context Protocol).
• Experience with Lang Chain, Semantic Kernel, Auto Gen, CrewAI, or similar frameworks.
• Understanding of AI deployment, monitoring, and governance.
Preferred Skills
• Experience with Azure OpenAI, OpenAI, Anthropic, or Gemini ecosystems.
• Knowledge of MLOps and AI platform engineering.
• Automotive domain experience.
Top
Skills:
AI, LLM, RAG
Agentic AI
Python, MCP
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