Lead Software Engineer

The Agentic Data team is building the foundational layer that makes intelligent agents possible at Salesforce scale. As a Lead Engineer on this team, you'll shape how agents access, govern, and reason over data - work that sits at the intersection of distributed systems, AI infrastructure, and enterprise trust. This role has a direct line to some of the most consequential engineering decisions we're making right now., * Architect and implement high-scale systems that manage agent data access patterns, including guardrails, traceability, telemetry, and auditability

• Contribute to the design of the technical infrastructure required for the future of agents and be deeply involved in code production, code reviews, and design decisions
• Partner with Product, Security, and Business Units to ensure agents operate with the correct data access permissions and governance controls
• Lead technical direction for the team - set standards, mentor engineers, and drive alignment across a cross-functional group of stakeholders
• Adopt and advocate for AI-first development patterns across the engineering organisation
• Evaluate and evolve the team's use of emerging agentic frameworks and tooling as the landscape matures

• 8+ years of industry experience with a proven track record of leading large-scale distributed systems or platform engineering
• Deep understanding of the LLM lifecycle, including prompt engineering, RAG (Retrieval-Augmented Generation), agentic reasoning patterns (such as ReAct and Chain-of-Thought), and building MCP servers
• Hands-on experience with agentic frameworks such as LangChain or PydanticAI
• Strong proficiency in at least one modern language: Java, Python, Kotlin, Scala, Rust, or Go
• Familiarity with a wide variety of data systems: vector, relational, and graph databases, event-driven architecture (Kafka), and large-scale data processing
• Degree or equivalent relevant experience required. Experience will be evaluated based on the core competencies for the role (e.g. extracurricular leadership roles, military experience, volunteer roles, work experience, etc.)

Preferred Qualifications

• Experience using AI-assisted development tools such as Claude Code, Cursor, or GitHub Copilot - and advocating for their adoption within a team
• Experience building guardrails for autonomous systems, including permissions, data masking, and compliance frameworks such as FedRAMP or HIPAA