> Markdown version of [/jobs/ext/4598348-technology-lead-business-intelligence-analytics-msbi-ssas](https://www.wearedevelopers.com/jobs/ext/4598348-technology-lead-business-intelligence-analytics-msbi-ssas). 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). --- # Technology Lead | Business Intelligence - Analytics | MSBI (SSAS) - **Company:** IMCS Group - **Location:** Richardson, TX, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** LangGraph Framework, Java (Programming Language), Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Cursor, Health Information Technology, Information Retrieval, Microsoft Business Intelligence, OpenAI, Search Technologies, SQL Server Analysis Services, Enterprise Search, Enterprise Data Management, Pinecone, Cloud Platform System, Spring Cloud, GitHub Copilot, ReactJS, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, Spring-boot, Generative AI, Backend, Agentic-AI, Microsoft Copilot Studio, Containerization, AngularJS, Kubernetes, FAISS, Docker, Microservices - **Published:** November 6, 2026 - **Apply:** https://www.careerbuilder.com/job-details/technology-lead-business-intelligence-analytics-msbi-ssas-richardson-tx--59836772-ee04-42a5-bc9a-4cc820d6b914 ## About the Role Strong proficiency in Java, Spring Boot, Microservices architecture, and React/Angular frameworks Hands-on experience in Generative AI, LLMs, and RAG-based solution development Expertise in prompt engineering and AI orchestration frameworks (LangChain, LangGraph or equivalent) Experience in agentic AI patterns, including multi-agent systems and tool-based integration Knowledge of vector databases (Pinecone, FAISS, Azure AI Search) and semantic retrieval techniques Experience with cloud platforms (Azure/AWS), containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines Familiarity with Microsoft Copilot Studio for building conversational AI agents and enterprise copilots Hands-on experience with AI-assisted development tools such as GitHub Copilot, Cursor, and other intelligent code editors/IDEs Understanding of enterprise AI governance, security, and compliance standards Experience: 8+ years overall experience with 4+ years in Generative AI / AI-driven solution development ## Description " UPDATED CONTACT NUMBER and EMAIL ID is a MANDATORY REQUEST from our client for all the submissions " Limited to 2 submission per supplier. Please submit your best. " We prioritize endorsing those with complete and accurate information " Avoid submitting duplicate profiles. We will Reject/Disqualify immediately. " Make sure that candidate's interview schedules are updated. Please inform the candidate to keep their lines open. MANDATORY: Please include in the resume the candidate s complete & updated contact information (Phone number, Email address and Skype ID) as well as a set of 5 interview timeslots over a 72-hour period after submitting the profile when the hiring managers could potentially reach to them. PROFILES WITHOUT THE REQUIRED DETAILS and TIME SLOTS will be REJECTED., Looking for a GenAI & Agentic AI Developer with strong Java Full Stack expertise to design and deliver LLM-based enterprise solutions, including RAG architectures and autonomous agent workflows, integrated with scalable, cloud-native applications., Design and develop enterprise-grade Generative AI solutions using Large Language Models (LLMs) and enterprise data Build and implement RAG-based architecture and agentic / multi-agent workflows for intelligent automation Develop scalable backend services using Java, Spring Boot, and Microservices architecture and UI using React/Angular Integrate LLM APIs (Azure OpenAI / OpenAI) and vector databases for knowledge retrieval and semantic search Ensure secure, scalable, and compliant deployment through cloud-native platforms, containerization, orchestration, and CI/CD pipelines Collaborate with cross-functional teams to deliver AI-enabled, production-grade solutions