AI Architect

TechDigital Group; Redmond (WA); On-site; USD 180,000 - 260,000; Full time

Job summary

TechDigital Group in Redmond, WA is seeking a senior AI/ML architect to design and deliver production-grade GenAI and agentic applications within the Microsoft Azure ecosystem.

You will lead architecture sessions, drive data/AI roadmaps, and ensure secure, scalable platforms while collaborating with stakeholders across IT and business units.

Focus areas include Foundry, Copilot Studio, LangChain, LangGraph, RAG pipelines, MLOps, and governance to deliver measurable business value.

Qualifications

• 15+ years in Data/AI/ML engineering.
• Strong experience with Microsoft Azure stack (Synapse, Fabric, Foundry, Copilot Studio).
• Hands-on ML projects including NLP, forecasting, and deep learning.
• Experience with Python, PySpark, Azure ML, Databricks, Scikit-learn.

Responsibilities

• Architect agentic AI solutions using Azure OpenAI, LangChain, and multi-agent frameworks.
• Build AI solutions with Microsoft Agent Framework, Semantic Kernel, Copilot Studio.
• Design secure, scalable data and AI architectures for PoCs and MVPs.
• Lead ML project lifecycles: data prep, modeling, evaluation, deployment and MLOps.
• Govern SDLC for Data, ML, GenAI platforms with compliance and governance.
• Engage with customer IT/business leaders to capture pain points and success metrics.
• Deliver production-ready GenAI/Agentic applications with documentation and runbooks.

Skills

Data/AI/ML engineering

Azure cloud expertise

LLMs & embeddings

RAG/GraphRAG concepts

MLOps & SDLC

Architectural leadership

Stakeholder engagement

Tools

Python

PySpark

Azure ML

Databricks

Scikit-learn

Hugging Face Transformers

OpenAI APIs

LangChain

LangGraph

Copilot Studio

Foundry

Job description

Key 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 & 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