Description
We are seeking a Lead AI Engineer to shape the technical foundations of Salesforce’s Agentic Enterprise product suite. In this role, you will develop agentic retrieval and AI skills, leveraging cutting-edge AI, GraphRAG, and multi-agent architectures. You will collaborate with data engineers, product managers, and data scientists to execute the product roadmap, building scalable, high-impact solutions that redefine what’s possible in Agentforce.
You will be a technical thought leader, translating innovative AI concepts into production-ready systems that power next-generation agentic experiences.
Responsibilities
Architect Agentic Systems
Design and implement new features and functions across the app ecosystem in partnership with Product Managers and data engineers.
Build scalable agentic AI architectures for MCP servers and multi-agent environments.
Implement Advanced Retrieval
Design RAG and GraphRAG pipelines to ensure agents are grounded in accurate, high-context, and real-time data.
Optimize retrieval strategies for enhanced agent performance and responsiveness.
AI Orchestration & Integration
Develop infrastructure that delivers seamless, responsive AI experiences for internal and external users.
Integrate Salesforce technologies and open-source tools to create the enterprise agentic data foundation.
Operationalize AI Research
Collaborate with Data Scientists to translate evaluation metrics into scalable, production-grade services.
Establish frameworks to continuously measure and improve agent performance.
Engineering Excellence
Define and enforce coding standards, testing strategies, and best practices to maintain high-quality, high-performance systems.
Produce strategic technical documentation that captures architecture, product strategy, and implementation details.
Qualifications
Education & Experience
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.
Technical Expertise
Strong knowledge of embedding models, LLM grounding, and agentic AI skills development.
Familiarity with the Salesforce ecosystem, Agentforce, and pro-code tools such as Heroku.
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.
Skilled in version control (Git) and CI/CD pipelines for production deployment.
Strategic & Analytical Skills
Ability to translate complex AI research into actionable engineering solutions.
Strong problem-solving skills and the ability to think strategically about emerging AI technologies.