Agentic Platform Gen AI Architect

Agentic Platform Gen AI Architect

Looking for an Agentic Platform Gen AI Architect who has designed, built, and governed enterprise grade, autonomous, and multi agent AI systems, focusing on orchestrating Large Language Models (LLMs) and Small Language Models (SLMs). He/she should establish AI driven, scalable, secure, and high performance infrastructure, covering RAG pipelines, agentic orchestration, and LLMOps to drive enterprise AI strategy.

Key Responsibilities

• Agentic Framework Design: Create architectures for autonomous, goal oriented agents capable of reasoning, planning, and decision making.
• Multi Agent Orchestration: Design systems that allow multiple agents to collaborate, using frameworks like LangChain, LangGraph, and AutoGen.
• Platform Governance Security: Define standards for agent evaluation, guardrails, security, and compliance.
• LLMOps MLOps: Implement CI/CD pipelines for fine tuning (PEFT/LoRA), deployment, and monitoring.
• Technical Leadership: Collaborate with data science and engineering teams to translate business requirements into production ready AI solutions.

Required Skills

• Experience Expertise in GenAI Agents: Deep knowledge of LLMs, prompt engineering, RAG, and agentic workflows.
• Tech Stack Proficiency: Python, PyTorch, Kubernetes, Docker, LangChain, and vector databases.
• Cloud Platforms: Experience with Azure, AWS, or GCP for AI deployment.
• Experience Level: Typically 5-15+ years in AI/ML, with a focus on modern generative AI techniques.