AI Architect

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

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.

• 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.

• 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.

• 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.