Analysis Skills, Application Programming Interface (API), Applications Security, Architectural Design, Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Best Practices, Business Architecture, Cloud Applications, Cloud Computing, Customer Relations, Enterprise Applications, Enterprise Architecture, Enterprise Data Integration, Java, Leadership, Microservices, Microsoft Windows Azure, Modeling Languages, Performance Tuning/Optimization, Problem Solving Skills, REST (Representational State Transfer), React.js, SQL (Structured Query Language), SQL Databases, Scalable System Development, Software Architecture, Software Development, Software Engineering, Technical Leadership, User Interface/Experience (UI/UX)
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.
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