Lead Software Engineer
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Job Description
Lead Engineer in the Agentic Data team building foundations for intelligent agents at Salesforce. Collaborate across departments to ensure governance and technical standards are met.
Responsibilities:
- 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
Requirements:
- 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
Benefits:
- This is a rare opportunity to work on infrastructure that doesn't exist yet
- You'll have the autonomy to make foundational decisions
- Inclusive environment for all employees
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