Ai Foundry

60 Ai Foundry Jobs Hiring Near You

The ideal candidate should have 10+ years of software engineering and architecture experience , with strong expertise in React, Java, Spring Boot, Azure AI Foundry, LangGraph, Couchbase, and Azure ...

The ideal candidate should have 10+ years of software engineering and architecture experience , with strong expertise in React, Java, Spring Boot, Azure AI Foundry, LangGraph, Couchbase, and Azure ...

NC · On-site

$96K - $127K/yr

The Lead AI Engineer provides dedicated leadership for AI engineering, sitting between data ... Stand up the Foundry Agent Service for production agents, conversation management, tool calling ...

Azure AI/ML Engineer

Bellevue, WA · On-site

$62 - $77/hr

AI,C#,ASP.NET 4.5,Java,LLM,Python,Vector,Semantic Kernel, AI Foundry ,LLMs (Azure OpenAI, OpenAI, Anthropic,MicroServices,Azure DevOps,Docker,Kubernetes Role Descriptions: 8 years of Strong ...

Enterprise AI Architect

Manhattan, NY · On-site

$76 - $97.75/hr

Design and architect enterprise AI and intelligent automation solutions leveraging Azure AI Services, Azure AI Foundry, OpenAI, Microsoft Fabric, and cloud-native technologies. * Lead the ...

AI Architect

Boise, ID · Remote

$64.50 - $85/hr

Design and orchestrate Azure AI Foundry solutions, including GPT‑4/4o models, embeddings, vector search, prompt flows, and evaluation pipelines. * Integrate Azure AI models with Power Apps and ...

Python, LangChain, LangGraph, Azure AI Foundry Roles & Responsibilities: * Agentic System Design: Architect, build, and optimize AI agents using multi-agent frameworks (e.g., LangGraph, AutoGen ...

Principal AI Architect

Long Beach, NY · On-site

$147.90 - $254.80/hr

Define the end‑to‑end reference architecture for AI and data/storage systems across Azure AI Foundry, Azure AI Services, Azure AI Search, Azure Databricks/Fabric, and Snowflake. Design ...

AI Solutions Architect

Austin, TX · Remote

$160K - $210K/yr

Evaluate and integrate Azure AI Foundry services and supporting tech such as Foundry Agent Service, AI Search, Prompt Flow, and AutoGen into a scalable AI platform. * Partner closely with engineering ...

Build and maintain AI solutions leveraging Azure AI Foundry, including model selection, prompt orchestration, evaluation, and deployment patterns, with a focus on reliable and customercentric ...

Build and maintain AI solutions leveraging Azure AI Foundry, including model selection, prompt orchestration, evaluation, and deployment patterns, with a focus on reliable and customercentric ...

Showing results 41-60

Ai Foundry Jobs Information

Infographic showing various job openings at Ai Foundry in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Physical job distribution.

Contractor

Re-posted 8 days ago


Job description

Job Title: AI Architect

Location: Plano, TX 75024 (Onsite)
Duration: 6 Months

<.> Job Description

We are seeking an experienced AI Architect to design, develop, and implement scalable AI-powered enterprise solutions. The ideal candidate should have 10+ years of software engineering and architecture experience, with strong expertise in React, Java, Spring Boot, Azure AI Foundry, LangGraph, Couchbase, and Azure SQL. This role requires hands-on experience in designing end-to-end AI solution architectures, integrating Large Language Models (LLMs), and delivering enterprise-grade AI applications.

As an AI Architect, you will be responsible for defining the overall solution architecture, integrating AI capabilities into modern applications, and collaborating with business stakeholders, development teams, and product owners to deliver scalable and secure AI solutions. You will work on React-based front-end applications, Java/Spring Boot microservices, and cloud-native AI platforms while leveraging Azure AI Foundry and LangGraph to build intelligent workflows, AI agents, Retrieval-Augmented Generation (RAG) solutions, and LLM orchestration pipelines.

The ideal candidate should have experience with cloud-native application development, AI solution architecture, microservices, API integration, and enterprise data platforms. Strong client-facing communication, problem-solving skills, and experience leading technical discussions are essential. Experience implementing best practices for AI governance, scalability, performance optimization, and production deployment is highly preferred.

<.> Required Experience
  • 10+ years of experience in Software Development, Solution Architecture, or AI Architecture.
  • Strong hands-on experience with React, Java, and Spring Boot.
  • Experience designing and implementing AI solutions using Azure AI Foundry.
  • Hands-on experience with LangGraph for LLM orchestration and AI workflow development.
  • Experience with Couchbase and Azure SQL databases.
  • Proven experience working as an AI Architect on enterprise applications.
  • Strong knowledge of REST APIs, cloud-native applications, and distributed systems.
  • Experience integrating LLMs, AI models, and enterprise applications.
  • Excellent client-facing communication and stakeholder management skills.
<.> Responsibilities
  • Design end-to-end AI solution architecture for enterprise applications.
  • Build AI-powered workflows using Azure AI Foundry and LangGraph.
  • Develop scalable applications using React, Java, and Spring Boot.
  • Design and implement microservices and REST APIs.
  • Integrate AI models and LLMs into enterprise applications.
  • Design and optimize data solutions using Couchbase and Azure SQL.
  • Collaborate with business stakeholders, architects, and development teams.
  • Ensure application scalability, security, and performance.
  • Lead architecture reviews, technical discussions, and solution design sessions.
  • Provide technical guidance and best practices for AI adoption and implementation.
<.> Nice to Have Skills
  • Experience with Microservices Architecture and API Design.
  • Knowledge of AI Solution Architecture, RAG, LLM integration, and Model Integration Techniques.
  • Experience with Azure cloud services and enterprise AI deployments.
  • Strong analytical, leadership, and problem-solving skills.