Job Summary
We are seeking an experienced AI Architect with expertise in Generative AI, Agentic AI, and Java development to design and implement scalable, secure, AI-driven enterprise applications. The ideal candidate will have strong experience building Java-based microservices while integrating LLMs, RAG pipelines, vector databases, and Agentic AI solutions into cloud-native applications.
Key Responsibilities
• Design scalable AI-enabled enterprise applications and architecture.
• Develop and architect Java (Spring Boot) microservices and REST APIs.
• Design and implement Agentic AI solutions using AI orchestration frameworks.
• Integrate LLMs, RAG, vector databases, and AI agents into enterprise applications.
• Collaborate with engineering, product, and data teams to deliver AI solutions.
• Define architecture standards, security, and best practices.
• Evaluate emerging AI technologies and mentor development teams.
Required Qualifications
• 8+ years of application architecture and enterprise software development experience.
• Strong Java development experience with Spring Boot, microservices, REST APIs, and Java 11/17+.
• Hands-on experience with Generative AI, Agentic AI, LLMs, RAG, prompt engineering, AI agents, and vector databases.
• Experience with AI orchestration frameworks such as LangGraph, LangChain, Semantic Kernel, AutoGen, or CrewAI.
• Strong cloud experience with AWS, Azure, or GCP.
• Experience with MLOps, CI/CD, Kubernetes, and enterprise security is preferred.
• Knowledge of Python is a plus.
Preferred Qualifications
• Experience in gaming, media, or interactive entertainment industries.
• Familiarity with DevSecOps and CI/CD pipelines for AI-driven applications.
• Experience integrating GenAI solutions into employee- or customer-facing platforms.
