Senior AI Architect: GenAI, MLOps & Secure Systems

Shrive Technologies LLC; Town of Texas (WI); On-site; USD 170,000 - 230,000; Full time

Job summary

Shrive Technologies LLC seeks an experienced Data/AI/ML Engineer to architect Agentic AI solutions using Microsoft Foundry, Azure OpenAI, LangChain, and multi‑agent frameworks.

You will design and lead ML lifecycles, build RAG pipelines and secure data/AI platforms, while collaborating with client IT leaders to deliver production‑ready GenAI applications. 15+ years required, strong Azure expertise.

Qualifications

• 15+ years in Data/AI/ML Engineering.
• Expertise in Azure stack including Synapse, Fabric, Foundry, Copilot Studio.
• Hands-on ML projects with Python, PySpark, Azure ML, Databricks, Scikit-learn.
• Experience with LLMs, embeddings, vector databases, RAG/GraphRAG, prompt optimization, safety.

Responsibilities

• Architect Agentic AI solutions using Microsoft Foundry, Azure OpenAI, LangChain, LangGraph & multi-agent frameworks.
• Build RAG pipelines, vector DB integrations & autonomous workflow orchestration.
• Design and lead ML project lifecycles - data prep, modeling, training, evaluation, deployment & MLOps.
• Govern full SDLC for Data, ML, and GenAI platforms.
• Engage with customer IT and business leaders to understand pain points, priorities, success measures, and risks.
• Deliver Production-ready GenAI/Agentic applications.

Skills

Data/AI/ML Engineering

Azure AI / Foundry

ML/Ops & SDLC

NLP / Deep Learning

Python / PySpark

LLMs / Embeddings

RAG / GraphRAG

Tools

Microsoft Foundry

Microsoft Agentic Framework

Azure Synapse

Databricks

Hugging Face Transformers

Job description

Shrive Technologies LLC seeks an experienced Data/AI/ML Engineer to architect Agentic AI solutions using Microsoft Foundry, Azure OpenAI, LangChain, and multi‑agent frameworks.

You will design and lead ML lifecycles, build RAG pipelines and secure data/AI platforms, while collaborating with client IT leaders to deliver production‑ready GenAI applications. 15+ years required, strong Azure expertise.