Lead AI Engineer (AI)

TL;DR

Lead AI Engineer (AI): Shaping the technical foundations of Salesforce’s Agentic Enterprise product suite by developing agentic retrieval and AI skills, leveraging cutting-edge AI, GraphRAG, and multi-agent architectures. Focus on translating innovative AI concepts into production-ready systems that power next-generation agentic experiences.

Location: Seattle or Chicago, USA

Company

We are seeking a Lead AI Engineer to shape the technical foundations of Salesforce’s Agentic Enterprise product suite.

What you will do

• Architect Agentic Systems: Design and implement new features across the app ecosystem in partnership with Product Managers and data engineers.
• Implement Advanced Retrieval: Design RAG and GraphRAG pipelines to ensure agents are grounded in accurate, high-context, and real-time data.
• AI Orchestration & Integration: Develop infrastructure that delivers seamless, responsive AI experiences for internal and external users.
• Operationalize AI Research: Collaborate with Data Scientists to translate evaluation metrics into scalable, production-grade services.
• Define and enforce coding standards, testing strategies, and best practices to maintain high-quality, high-performance systems.

Requirements

• Bachelor’s or Master’s degree in Computer Science, AI, Information Technology, or related fields.
• 8+ years of proven experience as a full-stack software engineer, developing robust web and AI-enabled applications.
• Strong knowledge of embedding models, LLM grounding, and agentic AI skills development.
• Familiarity with the Salesforce ecosystem, Agentforce, and pro-code tools such as hirify.global.
• Hands-on experience with NoSQL and Graph databases (Neo4j, MongoDB, Cassandra, Redis) and vector databases (Milvus, Pinecone).
• Proficient in back-end development using Python, Java, or similar languages and server-side frameworks.