> Markdown version of [/jobs/ext/1899088-java-architect-cloud-ai](https://www.wearedevelopers.com/jobs/ext/1899088-java-architect-cloud-ai). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Java Architect - Cloud & AI - **Company:** United Software Group, Inc. - **Location:** Dallas, TX, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Code Review, Databases, Continuous Integration, Software Design Patterns, DevOps, Distributed Systems, Amazon DynamoDB, Java Platform Enterprise Edition (J2EE), Fault Tolerance, PostgreSQL, Machine Learning, MongoDB, NoSQL, Software Architecture, Recommender Systems, SQL Databases, Data Streaming, Systems Integration, Web Services, Enterprise Software Applications, Cloud Platform System, Spring Cloud, Large Language Models, Spring-boot, Software Security, Cloudformation, Event Driven Architecture, Containerization, Kubernetes, Infrastructure Automation Frameworks, Apache Kafka, Machine Learning Operations, Api Gateway, Terraform, Docker, Microservices - **Published:** August 1, 2026 - **Apply:** https://www.careerjet.com/jobad/usa0b360b21bab98f41ca48d2b14cb4c01 ## About the Role We are seeking an experienced Java Architect with strong expertise in cloud-native architecture and hands-on exposure to AI/ML-driven solutions to design and lead enterprise-grade applications. This role requires a blend of deep Java/backend architecture skills, cloud platform expertise, and the ability to integrate AI capabilities into scalable, production-grade systems., * Java: Expert-level Java (8/11/17), Spring Boot, Spring Cloud, microservices architecture * Cloud: Strong hands-on experience with AWS - architecture, deployment, and management of cloud-native applications * AI/ML Integration: Experience integrating AI/ML models, LLMs, or GenAI services (e.g., AWS Bedrock, Azure OpenAI, or similar) into enterprise applications * APIs & Integration: REST/SOAP API design, API gateways, event-driven architecture * Databases: SQL/NoSQL (PostgreSQL, MongoDB, DynamoDB, or similar) * DevOps: CI/CD pipelines, Docker, Kubernetes, Infrastructure as Code (Terraform/CloudFormation) * Messaging/Streaming: Kafka or similar event-driven platforms * Strong understanding of distributed systems, scalability, and fault-tolerant design * Experience leading architecture decisions across cross-functional teams, * Cloud certification (AWS Solutions Architect, Azure Architect, or equivalent) * Prior experience architecting AI-enabled enterprise platforms * Experience in regulated industries (financial services, healthcare, etc.) * Familiarity with containerization and orchestration at scale ## Description * Architect, design, and lead development of enterprise Java applications and microservices * Define technical architecture and design patterns for scalable, high-availability, cloud-native systems * Lead integration of AI/ML capabilities (LLMs, GenAI, recommendation engines, or intelligent automation) into existing platforms * Provide technical leadership and mentorship to development teams * Collaborate with product, data science, and DevOps teams to translate business requirements into technical solutions * Drive cloud migration and modernization initiatives * Establish coding standards, architecture governance, and best practices * Conduct architecture/design reviews and code reviews * Evaluate and recommend emerging technologies, frameworks, and tools * Ensure application security, performance, and scalability across the stack * Troubleshoot complex production issues and guide root cause analysis ## Related Videos - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Reference Architecture of AI in the Cloud](https://www.wearedevelopers.com/videos/1613-reference-architecture-of-ai-in-the-cloud) - [Tomorrow's cloud data platforms - fully managed database-as-a-service (DBaaS)](https://www.wearedevelopers.com/videos/254-tomorrow-s-cloud-data-platforms-fully-managed-database-as-a-service-dbaas) - [Architecting the Future: Leveraging AI, Cloud, and Data for Business Success](https://www.wearedevelopers.com/videos/1096-architecting-the-future-leveraging-ai-cloud-and-data-for-business-success) ## Related Articles - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [6 Reasons to Use Java For Your Next AI Project](https://www.wearedevelopers.com/magazine/111-6-reasons-to-use-java-for-your-next-ai-project) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [Got AI ideas but no money? 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