Define and drive the technical vision for AI-native and agentic systems across the platform, building scalable, reliable, and enterprise-grade solutions
Job Summary
Define and drive the technical vision for AI-native and agentic systems across the platform, building scalable, reliable, and enterprise-grade solutions.
Provide deep expertise in LLM architectures, prompt engineering, RAG approaches, model selection, cost optimization, performance, security, and quality considerations.
Collaborate closely with Product, AI Platform teams, Architecture Guild, and engineering leadership to guide design and influence the product roadmap.
Matching Summary
Define and drive the technical vision for AI-native and agentic systems across the platform, building scalable, reliable, and enterprise-grade solutions.
Skills & Requirements
Must-have
AI-native agentic systems architecture
LLM architectures and RAG approaches
Scalable high-performance distributed systems
Data streaming and event processing
Fault-tolerant messaging systems
Distributed data stores expertise
Nice-to-have
Technical leadership and vision
Mentoring engineers and architects
Influencing product roadmap
Emerging engineering advancements
Key Requirements
16+ years of software engineering experience
Bachelor’s or Master’s degree in Computer Science or related field
Extensive experience with Java, REST APIs, Spring Boot, microservices