{"schemaVersion":"jobsearcher.job.v1","id":"09e751bc314e7e57a497a4bd","url":"https://jobsearcher.com/jobs/09e751bc314e7e57a497a4bd","canonicalUrl":"https://jobsearcher.com/jobs/09e751bc314e7e57a497a4bd","title":"Lead Java Developer","description":"Job Title: Lead Java DeveloperLocation: Irving TXDuration: FulltimeAI Java Lead who can design and implement enterprise-scale applications integrated with AI/GenAI capabilities, combining Java architecture + AI/ML expertise + cloud solutions.Key Responsibilities:AI & Architecture:Design end-to-end AI/GenAI architecture for enterprise applicationsBuild scalable AI systems including LLMs, ML/DL models, and neural networksDefine architecture patterns, standards, and best practicesLead solution design discussions with stakeholders and clientsJava & Application Development:Architect and develop Java-based enterprise applications (Spring Boot, Microservices)Integrate AI models into Java applications (APIs, services, pipelines)Ensure high performance, scalability, and securityDrive code quality, design patterns, and system optimizationCloud & DevOps:Design and deploy solutions on AWS / Azure / GCPImplement CI/CD pipelines and containerization (Docker/K8s)Ensure scalable and resilient distributed systemsData & AI Engineering:Design data pipelines, ingestion, transformation, and storageWork with large datasets for AI model training and inferenceCollaborate with data scientists and ML engineersEnsure data quality, governance, and complianceLeadership & Collaboration:Lead architecture reviews and mentor development teamsCollaborate with Product, DevOps, Security, and Business teamsTranslate business requirements into technical AI solutionsRequired Skills:Core Java & BackendStrong experience in Java, J2EE, Spring Boot, MicroservicesExpertise in REST APIs, event-driven architectureKnowledge of design patterns & system designAI / ML SkillsExperience with:Machine Learning / Deep LearningLLMs & Generative AI (GPT, transformers)Prompt EngineeringHands-on with frameworks:TensorFlow / PyTorch / KerasData & Big DataStrong in SQL / NoSQLExperience with data pipelines, ETL, Spark, Hadoop (optional)Cloud & DevOpsAWS / Azure / GCPDocker, KubernetesCI/CD tools (Jenkins, GitHub Actions)Additional:Frontend (optional): React / AngularStrong understanding of security & compliance (enterprise systems)Qualifications:Bachelor’s / Master’s in Computer Science / AI / Data Science10+ years in software development3+ years in architecture rolesExperience in AI/ML-based enterprise solutionsKey CompetenciesStrong system design & architecture mindsetAbility to handle large-scale distributed systemsProblem-solving and innovation in AI-driven solutionsExcellent communication & stakeholder managementNice-to-Have:Experience with GenAI use cases (chatbots, copilots, NLP systems)Exposure to TOGAF / enterprise architecture frameworksKnowledge of AI governance & ethical AI","company":"Wall Street Consulting 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enterprise-scale applications integrated with AI/GenAI capabilities, combining Java architecture + AI/ML expertise + cloud solutions.Key Responsibilities:AI & Architecture:Design end-to-end AI/GenAI architecture for enterprise applicationsBuild scalable AI systems including LLMs, ML/DL models, and neural networksDefine architecture patterns, standards, and best practicesLead solution design discussions with stakeholders and clientsJava & Application Development:Architect and develop Java-based enterprise applications (Spring Boot, Microservices)Integrate AI models into Java applications (APIs, services, pipelines)Ensure high performance, scalability, and securityDrive code quality, design patterns, and system optimizationCloud & DevOps:Design and deploy solutions on AWS / Azure / GCPImplement CI/CD pipelines and containerization (Docker/K8s)Ensure scalable and resilient distributed systemsData & AI Engineering:Design data pipelines, ingestion, transformation, and storageWork with large datasets for AI model training and inferenceCollaborate with data scientists and ML engineersEnsure data quality, governance, and complianceLeadership & Collaboration:Lead architecture reviews and mentor development teamsCollaborate with Product, DevOps, Security, and Business teamsTranslate business requirements into technical AI solutionsRequired Skills:Core Java & BackendStrong experience in Java, J2EE, Spring Boot, MicroservicesExpertise in REST APIs, event-driven architectureKnowledge of design patterns & system designAI / ML SkillsExperience with:Machine Learning / Deep LearningLLMs & Generative AI (GPT, transformers)Prompt EngineeringHands-on with frameworks:TensorFlow / PyTorch / KerasData & Big DataStrong in SQL / NoSQLExperience with data pipelines, ETL, Spark, Hadoop (optional)Cloud & DevOpsAWS / Azure / GCPDocker, KubernetesCI/CD tools (Jenkins, GitHub Actions)Additional:Frontend (optional): React / AngularStrong understanding of security & compliance (enterprise systems)Qualifications:Bachelor’s / Master’s in Computer Science / AI / Data Science10+ years in software development3+ years in architecture rolesExperience in AI/ML-based enterprise solutionsKey CompetenciesStrong system design & architecture mindsetAbility to handle large-scale distributed systemsProblem-solving and innovation in AI-driven solutionsExcellent communication & stakeholder managementNice-to-Have:Experience with GenAI use cases (chatbots, copilots, NLP systems)Exposure to TOGAF / enterprise architecture frameworksKnowledge of AI governance & ethical AI","datePosted":"2026-04-15T08:46:17.963Z","dateModified":"2026-04-15T08:46:17.963Z","hiringOrganization":{"@type":"Organization","name":"Wall Street Consulting 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