3 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
