Key Responsibilities
Agentic Application Architecture: Design, build, and maintain agentic solutions using tools like LangGraph, ADK, LangChain, AutoGen, CrewAI etc.
Salesforce Integration & Tool Calling: Implement robust REST/SOAP integrations, Webhooks, Platform Events, and Apex Invocable Methods allowing AI agents to query SOQL, update CRM records, and trigger Salesforce Flows autonomously.
Context Grounding & RAG Pipelines: Build Retrieval-Augmented Generation (RAG) pipelines connecting vector stores (e.g., Pinecone, Weaviate, pgvector) to supply real-time context to LLMs while mitigating hallucinations.
Workflow Automation & Agent Governance: Define function calling schemas, tool definitions, dynamic planning loops, and fallbacks. Implement safety guardrails, prompt evaluation suites, rate limiting, and seamless human-in-the-loop (HITL) handoffs.
Observability & Reliability: Set up agent monitoring, evaluation metrics, and tracing to track execution paths, latency, context usage, and token costs.
Cross-Functional Leadership: Partner with Salesforce Architects, Product Managers, and security teams to translate complex CRM requirements into reliable AI features adhering to enterprise compliance and data governance standards.
Qualifications
Required Technical Skills & Qualifications
Software Engineering Foundation: 3+ years of professional backend software engineering experience building scalable microservices, REST APIs, and asynchronous message queues.
Agentic AI & LLM Systems: 2+ years of hands-on experience developing production AI agents, autonomous decision loops, multi-agent coordination, and function-calling/tool-use paradigms.
Salesforce Core Knowledge: Proven experience interacting with Salesforce APIs (REST/Composite/Bulk), SOQL/SOSL queries, Connected Apps, OAuth flows, and Apex (Invocable Actions, Triggers).
Programming Languages: Advanced proficiency in Python or TypeScript/Node.js for AI backend systems.
Vector Databases & Embeddings: Direct experience with semantic search, embeddings generation, and vector engines (e.g., Pinecone, Qdrant, ChromaDB, PGVector).
Cloud & DevOps: Proficiency in cloud infrastructure (AWS/GCP/Azure), containerization (Docker, Kubernetes), serverless computing, and CI/CD pipelines.
Domain Knowledge: Solid understanding of B2B Sales processes, Partner Relationship Management (PRM), and the end-to-end Opportunity-to-Quote (Q2C) lifecycle.
The Team
You will be part of a growing, passionate, and dynamic team with an opportunity to work on challenging and exciting projects centered on what we believe is one of the most significant mission statements in the world. We also strive to be the most people-centric company ever!. That means we're constantly working to make your experience amazing, and you are part of the team breaking boundaries of what the workplace can be!.
Our Commitment
We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together.
We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at accommodations@paloaltonetworks.com.
Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.
All your information will be kept confidential according to EEO guidelines.
Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.
