successfactors
Fullstack Gen AI GCP - Lead
IRIS Software Inc
Noida, IND
Full-time
Senior
Onsite
Discovered 3 weeks ago
LangChainLangGraphPythonTerraformAmazon BedrockAzure OpenAI Service
Free
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LangChainLangGraphPython
Key Skills for This Role
LangChainLangGraphPythonTerraformAmazon BedrockAzure OpenAI Service
Full Job Posting
Mandatory Skills
- Agentic AI Systems, Advanced GenAI & Agentic Framework Concepts, Cloud Application Integration & Deployment, LangChain, LangGraph, AI Search Index, AI Agents & Tool Calling
Additional Skills
- Python, Terraform
Key Responsibilities
- Define and drive enterprise Generative AI strategy aligned with organizational objectives, innovation goals, and AI transformation initiatives.
- Establish AI engineering standards, governance frameworks, and best practices for enterprise AI solution delivery.
- Lead the design of enterprise-scale AI architecture using Amazon Bedrock, Azure OpenAI Service, Azure AI Foundry, Grog, or AI Search Index platforms.
- Define enterprise standards for Retrieval-Augmented Generation (RAG), Graph RAG, Agentic AI systems, and intelligent automation architectures.
- Drive adoption of AI agents, tool-calling frameworks, and autonomous workflow solutions across business functions.
- Drive adoption of enterprise multi-agent architectures, Human-in-the-Loop (HITL) governance, and scalable AI engineering patterns supporting secure and reliable business automation.
- Establish governance standards for model customization, fine-tuning, prompt engineering, retrieval quality, and AI solution lifecycle management.
- Define enterprise standards for prompt engineering pipelines, vector databases, semantic search, Retrieval-Augmented Generation, Model Context Protocol (MCP), and AI agent orchestration frameworks.
- Define architecture patterns and engineering standards using LangChain, LangGraph, and related workflow orchestration frameworks.
- Establish enterprise AI engineering standards covering secure API design, authentication, authorization, asynchronous processing, scheduling, scalability, deployment, observability, and operational resilience.
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