Job Description
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.
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.
- 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 Google Cloud Platform.
- Knowledge of Python is a plus.
- Experience with MLOps, CI/CD, Kubernetes, and enterprise security is preferred.
Bonus Points
- 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 player-facing platforms.
Rate:
Not specified
Location:
Remote
IR35 Status:
Outside
Remote Status:
Remote
Industry:
AI & Machine Learning
Seniority Level:
Senior