Design and implement scalable GenAI and Agentic AI solutions. Lead end-to-end AI implementations. 10+ years of experience required. 100% Remote - USA.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
🚨 Hiring – Gen AI Architect 🚨
📍 100% Remote – USA
🔹 Top Skills Required
✔️ Multi-Agent AI Systems (LangChain/LangGraph, ACP, RAG)
✔️ Python, Data Pipelines & Vector Databases
✔️ Azure AI Foundry / Azure AI Services
🔹 Required Experience
• 10+ years of software engineering, AI, or solution architecture experience
• Strong experience architecting and implementing enterprise GenAI and Agentic AI solutions
• Hands-on expertise with LLMs, RAG architectures, multi-agent orchestration, and agent design patterns
• Strong experience with LangChain, LangGraph, ACP, prompt engineering, and context/memory management
• Hands-on Python development with data ingestion, ETL/data pipelines, and vector databases
• Experience with Azure AI Foundry, Azure AI Services, or similar enterprise AI platforms
• Experience integrating AI solutions with enterprise applications, APIs, and business workflows
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• Strong understanding of AI governance, observability, security, guardrails, and evaluation frameworks
• Experience leading end-to-end AI implementations from solution design through production deployment
🔹 Key Responsibilities
• Design and implement scalable GenAI and Agentic AI solutions
• Architect multi-agent systems leveraging LLMs, RAG, and enterprise AI frameworks
• Lead solution architecture, prompt engineering, and workflow orchestration
• Build enterprise data ingestion pipelines and vector search solutions
• Collaborate with business and engineering teams to deliver production-ready AI applications
• Establish AI governance, security, monitoring, and operational best practices
🔹 Technical Expertise
• Generative AI
• Agentic AI
• LLMs
• LangChain
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• LangGraph
• ACP
• RAG
• Python
• Azure AI Foundry
• Azure AI Services
• Vector Databases
• Data Ingestion
• Data Pipelines
• Prompt Engineering
• Context Engineering
• Workflow Orchestration
• AI Governance
• Enterprise AI Architecture
⚠️ Candidates must have hands-on experience designing and implementing enterprise GenAI/Agentic AI solutions. Profiles with only AI/ML, Python, or chatbot experience without LLM architecture, RAG, and multi-agent systems will not be considered.
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