5 months ago
Bengaluru, IndiaStaff+
Responsibilities
- Design and implement end-to-end Salesforce Service Cloud and Field Service Lightning solutions.
- Architect field service workflows for work orders, scheduling, dispatch, technician enablement, and asset management.
- Integrate Salesforce with AI/GenAI platforms using LLMs, RAG, NLP, semantic search, agentic workflows, MCP protocols, and tool orchestration frameworks.
- Build scalable integrations using APIs, MuleSoft, and event-driven architectures.
- Define AI guardrails, governance, and responsible AI practices.
- Collaborate with Product, Engineering, and Customer teams to deliver solutions.
- Conduct customer workshops, technical discovery sessions, and solution demonstrations.
- Ensure system performance, scalability, security, and reliability.
Requirements
- 12+ years of experience in Solution Architecture or Enterprise Systems.
- Strong hands-on experience with Salesforce Service Cloud and Field Service Lightning.
- Proven experience delivering Salesforce implementation and integration projects.
- Experience with AI/GenAI technologies, including LLMs, RAG, NLP, and semantic search.
- Strong knowledge of integration patterns, REST/SOAP APIs, and middleware tools.
- Experience with AWS, Azure, or GCP.
- Understanding of data architecture, microservices, and distributed systems.
- Preferred experience with ServiceNow CSM/FSM platforms.
- Familiarity with LangChain, LangGraph, or similar frameworks.
- Experience with vector databases, embeddings, retrieval systems, and AI evaluation frameworks such as RAGAS and LLM-as-a-judge.
- Exposure to DevOps, CI/CD, and observability tools.
- Domain experience in Field Service, Customer Support, or Operations.
Benefits
- The role is available in India or the US with remote/hybrid work arrangements.
- The company states a commitment to diversity, inclusion, and equal employment opportunity.
Tech Stack
Categories
Solutions Engineering
About Neuron 7
Neuron7 builds AI software for complex service operations, using a Service Expertise Graph from past cases and knowledge to deliver step-by-step troubleshooting to technicians and support agents. It sells its platform as enterprise SaaS to manufacturers and service organizations that need consistent issue resolution and knowledge capture. Founded in 2020, the privately held company raised a Series B in 2024.