Overview
Solution Architect – Salesforce Field Service & AI (GenAI / LLM)
Full job description
Solution Architect – Salesforce Field Service & AI (GenAI / LLM)
Location: India / US (Remote/Hybrid) Company: Neuron7.ai
About Neuron7.ai Neuron7.ai is a leading Service Resolution Intelligence platform leveraging AI and GenAI to transform enterprise service operations. We help global enterprises improve field service efficiency, reduce resolution time, and enhance customer experience. Role Overview We are seeking an experienced Solution Architect with deep expertise in Salesforce (Service Cloud & Field Service Lightning) and strong exposure to AI/GenAI technologies. This role will focus on designing and implementing scalable solutions integrating LLMs, RAG architectures, NLP, and AI workflows into enterprise Field Service environments.
Key Responsibilities Design and implement end-to-end Salesforce solutions across Service Cloud and Field Service (FSL) Architect Field Service workflows including work orders, scheduling, dispatch, technician enablement, and asset management Lead integration of Salesforce with AI/GenAI platforms using LLMs, RAG, NLP, and semantic search Build scalable integrations using APIs, middleware (MuleSoft), and event-driven architectures Define and implement AI guardrails, governance, and responsible AI practices Work on agentic workflows, MCP protocols, and tool orchestration frameworks Collaborate with Product, Engineering, and Customer teams for solution delivery Conduct customer workshops, technical discovery sessions, and solution demos Ensure system performance, scalability, security, and reliability
Required Qualifications 12+ years of experience in Solution Architecture / Enterprise Systems Strong hands-on experience in Salesforce Service Cloud and Field Service Lightning (FSL) Proven experience in Salesforce implementation and integration projects Experience with AI/GenAI technologies (LLMs, RAG, NLP, semantic search) Strong knowledge of integration patterns, REST/SOAP APIs, and middleware tools Experience with cloud platforms (AWS, Azure, or GCP) Solid understanding of data architecture, microservices, and distributed systems
Preferred Qualifications Experience with ServiceNow (CSM/FSM) platforms Familiarity with LangChain, LangGraph, or similar frameworks Experience with vector databases, embeddings, and retrieval systems Knowledge of AI evaluation frameworks (RAGAS, LLM-as-a-judge) Exposure to DevOps, CI/CD, and observability tools Domain experience in Field Service, Customer Support, or Operations
Our Commitment to Diversity and Inclusion: Neuron7.ai is committed to fostering a diverse and inclusive workplace. We ensure equal employment opportunities without discrimination or harassment based on race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, national origin, marital status, or any other characteristic protected by law. If you’re excited about using data to drive service intelligence and want to be part of a forward-thinking team, we’d love to hear from you!
Tips for this job
Practical Job and Scholarship guidance. These tips do not replace official rules or create new eligibility requirements.
- Tailor the CV and application to the responsibilities and required skills stated on the official employer page.
- Use concrete evidence of relevant work, projects and measurable results rather than generic claims.
- Confirm location, work authorization, remote restrictions and sponsorship terms before applying.
- Apply through the original employer or official recruitment destination shown on this page.
Verification notes
laptop-ats-crawler v3
Job and Scholarship is the discovery and verification layer. Confirm eligibility, dates, salary/funding and application instructions on the original source before submitting anything.
neuron7 (lever) ↗Browse current Job and Scholarship listings from neuron7 (lever) →
