Software Architect, AI Applications

Описание

As an Architect in Gong's AI Applications group, you will lead the architecture and technical direction of the Revenue Harness, the agentic framework that powers an AI teammate for every revenue professional. This is a hands-on role with broad influence. You will embed with teams where needed, guide design decisions, and help build scalable, extensible agentic systems on state-of-the-art AI technology.

Responsibilities

• Lead the architecture and technical direction of the Revenue Harness, the agentic framework that powers an AI teammate for every revenue professional
• Embed with teams where needed
• Guide design decisions
• Help build scalable, extensible agentic systems on state-of-the-art AI technology
• Define the reference architecture and the contracts between agents, tools, context, and models
• Contribute directly to design and code
• Set the group's eval methodology, regression gates, and production monitoring for non-deterministic systems
• Raise the bar on design quality and best practices across the group
• Drive adoption of coding agents, AI code review, and agentic workflows to improve velocity and quality

Requirements

• 10+ years of backend development, with strong expertise in Java and modern frameworks such as Spring Boot
• Proven Staff or Principal-level impact across multiple teams, with the ability to lead through influence rather than authority
• Hands-on experience shipping production LLM applications, such as agents, tool calling, RAG, or structured generation, and an understanding of their failure modes
• Deep expertise in designing large-scale distributed systems, including asynchronous, event-driven, and streaming architectures
• Versatility in diving into unfamiliar codebases, switching context across teams, and spotting high-impact opportunities
• A passion for mentoring, and the ability to communicate complex ideas clearly to diverse stakeholders
• Genuine curiosity about the AI landscape, and a track record of driving adoption of AI-assisted development

Nice to have

• Experience with agent frameworks and protocols (e.g., MCP, Spring AI, LangChain/LangGraph) or with building an in-house equivalent
• Experience with LLM evaluation (LLM-as-judge, golden datasets, online monitoring), observability, and multi-provider routing
• Experience with vector databases, search infrastructure (e.g., Elasticsearch/OpenSearch), or knowledge graphs
• Familiarity with AI security concerns, including prompt injection, data leakage, and agent permission models
• Working knowledge of Python alongside a JVM stack
• Background in B2B SaaS, CRM, or revenue technology

We offer

• Flexible hybrid work model
• Fair and equal opportunities
• Flexibility, autonomy, positive work relationships, and effective work habits