{"schemaVersion":"jobsearcher.job.v1","id":"cb6d07b70880d3dc6df1a601","url":"https://jobsearcher.com/jobs/cb6d07b70880d3dc6df1a601","canonicalUrl":"https://jobsearcher.com/jobs/cb6d07b70880d3dc6df1a601","title":"Solution Architect - Java, Cloud & AI","description":"Solution ArchitectWe are seeking an experienced Solution Architect with strong expertise in Java-based enterprise applications, cloud-native architecture, and artificial intelligence solutions. The architect will be responsible for designing scalable, secure, and resilient technology solutions that align with business objectives and enterprise architecture standards.\r\nThe ideal candidate will have hands-on experience modernizing legacy applications, building microservices and cloud-native platforms, and integrating AI capabilities such as generative AI, intelligent agents, and retrieval-augmented generation into enterprise applications.\r\nKey Responsibilities\r\nDesign end-to-end solution architectures for complex enterprise applications using Java, Spring Boot, microservices, APIs, and event-driven architecture.\r\nDefine cloud-native architectures using AWS, Azure, or Google Cloud Platform.\r\nLead application modernization initiatives, including legacy transformation, containerization, and migration to cloud platforms.\r\nDesign highly available, scalable, secure, and fault-tolerant systems.\r\nEstablish architecture standards, reusable frameworks, design patterns, and engineering best practices.\r\nDevelop architecture diagrams, solution blueprints, integration patterns, data flows, and technical design documents.\r\nEvaluate and recommend appropriate cloud services, technology platforms, frameworks, and development tools.\r\nDesign and integrate AI-powered capabilities, including generative AI, AI agents, large language models, prompt engineering, and retrieval-augmented generation.\r\nArchitect integrations with enterprise data sources, vector databases, APIs, and machine learning platforms.\r\nEvaluate AI models based on accuracy, security, scalability, latency, cost, and business requirements.\r\nEnsure AI solutions comply with responsible AI, data privacy, security, governance, and regulatory standards.\r\nCollaborate with business stakeholders, product owners, enterprise architects, developers, data engineers, DevOps teams, and cybersecurity teams.\r\nProvide technical leadership to development teams and conduct architecture, code, security, and performance reviews.\r\nIdentify technical risks, dependencies, architectural gaps, and mitigation strategies.\r\nDefine CI/CD, observability, logging, monitoring, and production support requirements.\r\nSupport technical estimations, proof-of-concept development, vendor evaluations, and technology selection.\r\nMentor engineers and promote engineering excellence across delivery teams.\r\nRequired Qualifications:\r\n10+ years of experience in software engineering, application architecture, or solution architecture.\r\n5+ years of experience designing enterprise-scale solutions.\r\nStrong hands-on experience with Java, Spring Boot, Spring Cloud, REST APIs, and microservices.\r\nExperience with distributed systems, event-driven architecture, Kafka, messaging platforms, and API gateways.\r\nStrong experience with at least one major cloud platform: AWS, Microsoft Azure, or Google Cloud Platform.\r\nExperience with cloud services involving compute, storage, networking, databases, serverless technologies, security, and monitoring.\r\nExperience with Docker, Kubernetes, OpenShift, and container orchestration.\r\nKnowledge of relational databases, NoSQL databases, caching technologies, and data integration patterns.\r\nExperience designing secure applications using OAuth 2.0, OpenID Connect, JWT, encryption, identity management, and role-based access controls.\r\nExperience with CI/CD tools and DevOps practices using Jenkins, GitHub Actions, GitLab CI, Azure DevOps, Terraform, or similar technologies.\r\nUnderstanding of generative AI, large language models, AI agents, prompt engineering, embeddings, vector databases, and retrieval-augmented generation.\r\nExperience integrating AI services through platforms or frameworks such as OpenAI, Azure OpenAI, Amazon Bedrock, LangChain, LlamaIndex, or Semantic Kernel.\r\nStrong understanding of system scalability, performance optimization, resiliency, observability, and disaster recovery.\r\nExcellent communication, stakeholder management, documentation, and technical leadership skills.\r\nPreferred Qualifications\r\nExperience with Python and AI application development.\r\nExperience building enterprise AI assistants, intelligent agents, or knowledge-based applications.\r\nFamiliarity with machine learning operations, model evaluation, model monitoring, and AI governance.\r\nExperience with Snowflake, Databricks, data lakes, or modern enterprise data platforms.\r\nKnowledge of financial services, retirement services, wealth management, insurance, or other regulated industries.\r\nCloud architecture or AI-related certifications are preferred.\r\nTechnical Skills\r\nProgramming and Frameworks:Java, Spring Boot, Spring Cloud, Python, REST APIs, GraphQL, Microservices\r\nCloud Platforms:AWS, Microsoft Azure, Google Cloud Platform\r\nAI and Generative AI:Large Language Models, AI Agents, RAG, Prompt Engineering, Embeddings, Vector Databases, OpenAI, Azure OpenAI, Amazon Bedrock, LangChain, LlamaIndex\r\nContainers and DevOps:Docker, Kubernetes, OpenShift, Jenkins, GitHub Actions, GitLab CI, Terraform, CI/CD\r\nIntegration and Messaging:Kafka, MQ, Event-Driven Architecture, API Gateways, Enterprise Integration Patterns\r\nDatabases and Data Platforms:Oracle, PostgreSQL, SQL Server, MongoDB, DynamoDB, Redis, Snowflake, Databricks\r\nSecurity and Observability:OAuth 2.0, OpenID Connect, JWT, IAM, Splunk, Dynatrace, AppDynamics, CloudWatch\r\nEducation\r\nBachelor’s or master’s degree in computer science, information technology, engineering, or a related discipline.","company":"United Software Group","rawCompany":"united software group","city":"Dallas","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-08-07T01:30:37.420Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1211.00","title":"Computer Systems Analysts","slug":"computer-systems-analysts"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Solution Architect - Java, Cloud & AI","description":"Solution ArchitectWe are seeking an experienced Solution Architect with strong expertise in Java-based enterprise applications, cloud-native architecture, and artificial intelligence solutions. The architect will be responsible for designing scalable, secure, and resilient technology solutions that align with business objectives and enterprise architecture standards.\r\nThe ideal candidate will have hands-on experience modernizing legacy applications, building microservices and cloud-native platforms, and integrating AI capabilities such as generative AI, intelligent agents, and retrieval-augmented generation into enterprise applications.\r\nKey Responsibilities\r\nDesign end-to-end solution architectures for complex enterprise applications using Java, Spring Boot, microservices, APIs, and event-driven architecture.\r\nDefine cloud-native architectures using AWS, Azure, or Google Cloud Platform.\r\nLead application modernization initiatives, including legacy transformation, containerization, and migration to cloud platforms.\r\nDesign highly available, scalable, secure, and fault-tolerant systems.\r\nEstablish architecture standards, reusable frameworks, design patterns, and engineering best practices.\r\nDevelop architecture diagrams, solution blueprints, integration patterns, data flows, and technical design documents.\r\nEvaluate and recommend appropriate cloud services, technology platforms, frameworks, and development tools.\r\nDesign and integrate AI-powered capabilities, including generative AI, AI agents, large language models, prompt engineering, and retrieval-augmented generation.\r\nArchitect integrations with enterprise data sources, vector databases, APIs, and machine learning platforms.\r\nEvaluate AI models based on accuracy, security, scalability, latency, cost, and business requirements.\r\nEnsure AI solutions comply with responsible AI, data privacy, security, governance, and regulatory standards.\r\nCollaborate with business stakeholders, product owners, enterprise architects, developers, data engineers, DevOps teams, and cybersecurity teams.\r\nProvide technical leadership to development teams and conduct architecture, code, security, and performance reviews.\r\nIdentify technical risks, dependencies, architectural gaps, and mitigation strategies.\r\nDefine CI/CD, observability, logging, monitoring, and production support requirements.\r\nSupport technical estimations, proof-of-concept development, vendor evaluations, and technology selection.\r\nMentor engineers and promote engineering excellence across delivery teams.\r\nRequired Qualifications:\r\n10+ years of experience in software engineering, application architecture, or solution architecture.\r\n5+ years of experience designing enterprise-scale solutions.\r\nStrong hands-on experience with Java, Spring Boot, Spring Cloud, REST APIs, and microservices.\r\nExperience with distributed systems, event-driven architecture, Kafka, messaging platforms, and API gateways.\r\nStrong experience with at least one major cloud platform: AWS, Microsoft Azure, or Google Cloud Platform.\r\nExperience with cloud services involving compute, storage, networking, databases, serverless technologies, security, and monitoring.\r\nExperience with Docker, Kubernetes, OpenShift, and container orchestration.\r\nKnowledge of relational databases, NoSQL databases, caching technologies, and data integration patterns.\r\nExperience designing secure applications using OAuth 2.0, OpenID Connect, JWT, encryption, identity management, and role-based access controls.\r\nExperience with CI/CD tools and DevOps practices using Jenkins, GitHub Actions, GitLab CI, Azure DevOps, Terraform, or similar technologies.\r\nUnderstanding of generative AI, large language models, AI agents, prompt engineering, embeddings, vector databases, and retrieval-augmented generation.\r\nExperience integrating AI services through platforms or frameworks such as OpenAI, Azure OpenAI, Amazon Bedrock, LangChain, LlamaIndex, or Semantic Kernel.\r\nStrong understanding of system scalability, performance optimization, resiliency, observability, and disaster recovery.\r\nExcellent communication, stakeholder management, documentation, and technical leadership skills.\r\nPreferred Qualifications\r\nExperience with Python and AI application development.\r\nExperience building enterprise AI assistants, intelligent agents, or knowledge-based applications.\r\nFamiliarity with machine learning operations, model evaluation, model monitoring, and AI governance.\r\nExperience with Snowflake, Databricks, data lakes, or modern enterprise data platforms.\r\nKnowledge of financial services, retirement services, wealth management, insurance, or other regulated industries.\r\nCloud architecture or AI-related certifications are preferred.\r\nTechnical Skills\r\nProgramming and Frameworks:Java, Spring Boot, Spring Cloud, Python, REST APIs, GraphQL, Microservices\r\nCloud Platforms:AWS, Microsoft Azure, Google Cloud Platform\r\nAI and Generative AI:Large Language Models, AI Agents, RAG, Prompt Engineering, Embeddings, Vector Databases, OpenAI, Azure OpenAI, Amazon Bedrock, LangChain, LlamaIndex\r\nContainers and DevOps:Docker, Kubernetes, OpenShift, Jenkins, GitHub Actions, GitLab CI, Terraform, CI/CD\r\nIntegration and Messaging:Kafka, MQ, Event-Driven Architecture, API Gateways, Enterprise Integration Patterns\r\nDatabases and Data Platforms:Oracle, PostgreSQL, SQL Server, MongoDB, DynamoDB, Redis, Snowflake, Databricks\r\nSecurity and Observability:OAuth 2.0, OpenID Connect, JWT, IAM, Splunk, Dynatrace, AppDynamics, CloudWatch\r\nEducation\r\nBachelor’s or master’s degree in computer science, information technology, engineering, or a related discipline.","datePosted":"2026-08-07T01:30:37.420Z","dateModified":"2026-08-07T01:30:37.420Z","hiringOrganization":{"@type":"Organization","name":"United Software Group","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dallas","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"cb6d07b70880d3dc6df1a601"},"url":"https://jobsearcher.com/jobs/cb6d07b70880d3dc6df1a601"}}