Senior AI Architect - Generative & Agentic AI

compest solutions inc. United State
Remote
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AI Summary

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
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
Establish AI governance, security, monitoring, and operational best practices
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 Skills Required
Generative AI Agentic AI LLMs Python Azure AI Services
Benefits & Perks
100% Remote - USA

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

• 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

• 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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