AI Architect - Visa Independent Consultants Only

Shrive Technologies LLC; United States; Remote; USD 180,000 - 220,000; Full time

Job summary

Shrive Technologies LLC is seeking an experienced Role AI Architect to design and lead agentic AI solutions in a fully remote U.S. setting.

You will architect end-to-end AI systems, including RAG pipelines, vector DBs, and secure data/AI architectures, collaborating with client IT and business leaders to deliver measurable value. Responsibilities include driving PoCs/MVPs, governing full ML lifecycles, and ensuring compliance with GDPR/CCPA.

Qualifications

• 15+ years of experience in data/AI/ML engineering and architecture.
• Deep hands-on with Azure stack and GenAI tooling.
• Proven ability to design end-to-end AI/ML systems and governance.
• Strong communication with clients and leadership teams.

Responsibilities

• Architect agentic AI solutions using Microsoft Foundry, Azure OpenAI, LangChain, LangGraph, and multi-agent frameworks.
• Lead ML project lifecycles: data prep, modeling, training, evaluation, deployment, and MLOps.
• Govern SDLC for Data, ML, and GenAI platforms with security and compliance controls.
• Design secure, scalable data/AI architectures delivering measurable business value.
• Engage with client IT and business leaders to align on pain points and success metrics.
• Deliver production-ready GenAI/Agentic applications and reproducible experiments.

Skills

15+ years in Data/AI/ML Engineering

Azure stack (Synapse, Fabric, Foundry)

Hands-on ML (forecasting, NLP, DL)

LLMs, embeddings, vector databases, Ra

GenAI tooling (OpenAI APIs, MCP Server

MLOps/LLMOps, CI/CD

XAI, explainability

Security & governance (GDPR, CCPA)

Tools

Microsoft Foundry

Azure OpenAI

LangChain

LangGraph

Autogen

Semantic Kernel

Copilot Studio

Vector DBs

Job description

Role AI Architect

Remote

Responsibilities

• Architect Agentic AI solutions using Microsoft Foundry, Azure OpenAI, LangChain, LangGraph & multi-agent frameworks
• Build AI solutions using frameworks such as Microsoft Agent Framework – Autogen, Semantic Kernel, Copilot Studio
• Well-versed with the Microsoft Agentic Framework (MAF)
• 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
• Ensure strong security, compliance, governance (GDPR, CCPA, PII)
• Produce robust architecture blueprints, ML design docs, and runbooks
• Engage with customer IT and business leaders to understand pain points, priorities, success measures, and risks.
• Design secure, scalable data and AI solutions to deliver measurable business value.
• Lead architecture design sessions, develop data/AI and analytics roadmaps to drive PoCs and MVPs.
• Accelerate adoption and ensure long-term technical viability.
• Deliver Production-ready GenAI/Agentic applications.
• Fine-tuned models and reproducible experiments.
• Provide Clear documentation, test coverage, and deployment pipelines.
• Regular updates on project status and deliverables to stakeholders.
• Drive RFP/RFI solutioning, technical proposals, estimations & client workshops

Responsibilities

• Architect Agentic AI solutions using Microsoft Foundry, Azure OpenAI, LangChain, LangGraph & multi-agent frameworks
• Build AI solutions using frameworks such as Microsoft Agent Framework – Autogen, Semantic Kernel, Copilot Studio
• Well-versed with the Microsoft Agentic Framework (MAF)
• 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
• Ensure strong security, compliance, governance (GDPR, CCPA, PII)
• Produce robust architecture blueprints, ML design docs, and runbooks
• Engage with customer IT and business leaders to understand pain points, priorities, success measures, and risks.
• Design secure, scalable data and AI solutions to deliver measurable business value.
• Lead architecture design sessions, develop data/AI and analytics roadmaps to drive PoCs and MVPs.
• Accelerate adoption and ensure long-term technical viability.
• Deliver Production-ready GenAI/Agentic applications.
• Fine-tuned models and reproducible experiments.
• Provide Clear documentation, test coverage, and deployment pipelines.
• Regular updates on project status and deliverables to stakeholders.
• Drive RFP/RFI solutioning, technical proposals, estimations & client workshops

Skill Requirements

Skill & Experience

• 15+ years in Data/AI/ML Engineering
• Strong exposure to Microsoft Azure stack including Synapse, Fabric, Foundry, Copilot Studio, Azure App Insights
• Hands-on with:
  • ML projects (supervised/unsupervised, forecasting, NLP, deep learning)
  • ML modeling tools: Python, PySpark, Azure ML, Databricks, Scikit-learn
  • Microsoft Foundry, Microsoft Agentic Framework
  • LLMs, embeddings, vector databases, RAG/GraphRAG, prompt optimization, and safety/guardrails
  • GenAI tools: MCP Server, Hugging Face Transformers, OpenAI APIs, and diffusion models (for image generation).
  • CI/CD, MLOps/LLMOps, SDLC
  • Explainable AI (XAI)
• Cloud certifications (Microsoft Azure) is a plus

This is a remote position.