Senior Specialist - Architecture

Job Summary Seeking a senior Java and Generative AI engineer to design develop and lead enterprisegrade AIenabled applications integrating Java microservices with advanced Gen AI and LLMOps capabilities Job Description Design and develop scalable enterprise applications using Java J2EE Spring Boot Spring MVC and Java microservices Architect and implement Generative AI and Agentic AI solutions integrated with existing enterprise platforms Build AI agents for tasks such as code analysis defect triage productionlog analysis automated remediation and test generation Develop solutions leveraging Large Language Models LLMs Retrieval Augmented Generation RAG prompt engineering toolfunction calling and agentic workflows Integrate applications with OpenAIcompatible APIs and enterpriselocal LLM platforms Build orchestration workflows using frameworks like LangChain and custom agent frameworks Develop secure REST APIs and microservices integrated with enterprise AI services Utilize GitHub Copilot and AIassisted software development tools to enhance engineering productivity and adoption Design containerized secure AI applications compliant with regulated enterprise environments Work with databases and messaging platforms such as Oracle MySQL Neo4j and Kafka Apply LLMOps best practices for deployment monitoring and management of AI models in production environments Incorporate Gen AI and LLMOps methodologies to optimize AI model lifecycle and operational efficiency Leverage expertise in Gen AI and LLMOps to drive innovation and operational excellence in AI solution development Roles and Responsibilities Lead the architecture development integration and production deployment of AIenabled enterprise solutions combining Java microservices and Generative AI Provide technical leadership architecture guidance code reviews and mentoring to development teams Collaborate with business architecture security and platform teams to drive Gen AI use cases from concept through production Drive adoption of AIassisted software development capabilities across engineering teams Ensure secure and scalable design of AI and microservicebased applications suitable for enterprise environments Manage LLMOps processes including model lifecycle management monitoring and continuous improvement Partner crossfunctionally to align AI solutions with business objectives and compliance requirements Champion best practices in Gen AI integration and LLMOps to enhance solution robustness and maintainability Advocate for continuous learning and incorporation of emerging Gen AI and LLMOps trends to maintain competitive advantage

Mandatory Skills : Gen AI - LLMOps, Java Microservices