AI Architect -Remote

Yochana IT Solutions Inc.; United States; On-site; USD 150,000 - 230,000; Full time

Job summary

Yochana IT Solutions Inc. seeks a senior AI/ML Architect to design and lead secure, scalable Agentic AI and GenAI solutions using Microsoft Azure technologies. The ideal candidate brings 10+ years in data/AI/ML engineering or architecture and deep expertise in governance, XAI, and end-to-end ML lifecycles.

You will drive architecture, RAG implementations, client workshops, PoCs, and MVPs while shaping data/AI roadmaps and governance standards across business and IT stakeholders.

Qualifications

• Experience: 10+ years in Data/AI/ML Engineering or Architecture.
• Senior AI/ML Architect to design and lead secure, scalable Agentic AI and GenAI solutions using Microsoft Azure technologies.
• Knowledge of governance, GDPR, CCPA, PII and Explainable AI (XAI).
• Familiarity with ML lifecycle, MLOps/LLMOps, CI/CD, and SDLC.

Responsibilities

• Lead AI architecture, agentic workflows, and RAG implementation.
• Drive technical proposals, RFP/RFI responses, client workshops, PoCs, and MVPs.
• Define data/AI roadmaps, architecture blueprints, and governance standards.
• Engage business and IT leaders to deliver secure, scalable AI solutions.

Skills

ML architecture

Security governance

GDPR/CCPA/PII compliance

Explainable AI (XAI)

Tools

LangChain

LangGraph

multi-agent frameworks

RAG/GraphRAG

LLMs

embeddings

vector databases

MLOps/LLMOps

CI/CD

SDLC

Job description

Experience: 10+ years in Data/AI/ML Engineering or Architecture.

Seeking a senior AI/ML Architect to design and lead secure, scalable Agentic AI and GenAI solutions using Microsoft Azure technologies.

Must-Have Skills:

• LangChain, LangGraph, multi-agent frameworks
• RAG/GraphRAG, LLMs, embeddings, vector databases
• ML lifecycle, MLOps/LLMOps, CI/CD, SDLC
• Security, governance, GDPR, CCPA, PII, Explainable AI (XAI)

Key Responsibilities:

• Lead AI architecture, agentic workflows, and RAG implementation.
• Drive technical proposals, RFP/RFI responses, client workshops, PoCs, and MVPs.
• Define data/AI roadmaps, architecture blueprints, and governance standards.
• Engage business and IT leaders to deliver secure, scalable AI solutions.