What are the responsibilities and job description for the Enterprise Architect - Java + Gen AI position at Acunor Infotech?
Java Architect GenAI Architect
Location: Atlanta, GA (Hybrid - 3 days/week onsite) only locals
Duration: Long-term
Duration: Long-term
Key Responsibilities
- Design and architect enterprise-grade Java applications and distributed systems.
- Lead modernization of legacy applications using Java, Spring Boot, Microservices, REST APIs, and cloud-native architectures.
- Integrate AI/GenAI capabilities into business applications, including chatbots, intelligent search, recommendation engines, and automation solutions.
- Design and implement solutions leveraging LLMs, RAG (Retrieval Augmented Generation), vector databases, AI orchestration frameworks, and prompt engineering techniques.
- Collaborate with business, product, and engineering teams to identify AI use cases and deliver scalable solutions.
- Define architecture standards, security best practices, observability, and performance optimization strategies.
- Mentor development teams and provide technical leadership throughout the software development lifecycle.
Required Skills
- 12 years of software engineering experience with strong hands-on Java development.
- Expertise in Java, Spring Boot, Microservices, REST APIs, Kafka, and cloud platforms (AWS preferred).
- Experience designing enterprise architecture and scalable distributed systems.
- Hands-on experience with AI/GenAI technologies:
- OpenAI, Azure OpenAI, Anthropic, Gemini, or similar LLM platforms.
- LangChain, LangGraph, Semantic Kernel, LlamaIndex, or related frameworks.
- RAG, Vector Databases (Pinecone, Chroma, Weaviate, Azure AI Search).
- Prompt Engineering and AI Agent development.
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- Experience with CI/CD, Docker, Kubernetes, and DevOps practices.
- Strong communication and stakeholder management skills.
Preferred
- Retail or eCommerce domain experience.
- Experience building AI-powered customer engagement, search, personalization, or merchandising solutions.
- Knowledge of MLOps and AI governance.