Solution Engineer

Solution Architect - AI / GenAI (Salesforce / ServiceNow)Bay AreaEngineering - Data Science /Full Time /Remoteapply for this jobSolution Architect - AI / GenAI (Salesforce / ServiceNow)Location: India / US (Remote/Hybrid)Company: Neuron7.aiRole OverviewWe are looking for a highly skilled Solution Architect with deep expertise in Salesforce or ServiceNow ecosystems, combined with strong experience in AI/GenAI implementations. This role will focus on designing and delivering enterprise-grade solutions leveraging LLMs, RAG architectures, NLP, and AI integrations for Field Service and Customer Service workflows.Key ResponsibilitiesDesign end-to-end solution architectures integrating AI/GenAI capabilities into Salesforce / ServiceNow platformsLead implementation of RAG pipelines, LLM-based workflows, and NLP-driven automationArchitect scalable integrations using APIs, middleware, and event-driven systemsDefine and implement AI guardrails, governance, and responsible AI practicesWork with MCP protocols, tool orchestration, and agent-based systemsCollaborate with Product, Engineering, and Customer teams to deliver enterprise solutionsDrive solution design workshops, customer demos, and technical discovery sessionsEnsure performance, scalability, security, and reliability of deployed solutionsRequired Qualifications8-15+ years of experience in solution architecture / enterprise systemsStrong hands-on experience with Salesforce (Service Cloud / Field Service) or ServiceNow (ITSM / CSM / FSM)Proven experience in AI/GenAI implementations (LLMs, RAG, NLP, semantic search)Experience integrating AI solutions with enterprise platforms via APIs and microservicesSolid understanding of cloud platforms (AWS/Azure/GCP) and distributed systemsExperience with data pipelines, vector databases, embeddings, and retrieval systemsStrong communication skills with the ability to work with enterprise stakeholdersOur ValuesAt Neuron7.ai, we are guided by integrity, innovation, customer obsession, and continuous learning. We believe AI should create meaningful business outcomes and empower organizations to make smarter decisions at scale.Diversity & InclusionNeuron7.ai is committed to fostering a diverse, equitable, and inclusive workplace. We provide equal employment opportunities to all qualified applicants and employees regardless of race, religion, color, national origin, gender, gender identity, sexual orientation, age, disability, veteran status, or any other legally protected characteristic.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.apply for this job

We are looking for a highly skilled Solution Architect with deep expertise in Salesforce or ServiceNow ecosystems, combined with strong experience in AI/GenAI implementations. This role will focus on designing and delivering enterprise-grade solutions leveraging LLMs, RAG architectures, NLP, and AI integrations for Field Service and Customer Service workflows., * 8-15+ years of experience in solution architecture / enterprise systems

• Strong hands-on experience with Salesforce (Service Cloud / Field Service) or ServiceNow (ITSM / CSM / FSM)
• Proven experience in AI/GenAI implementations (LLMs, RAG, NLP, semantic search)
• Experience integrating AI solutions with enterprise platforms via APIs and microservices
• Solid understanding of cloud platforms (AWS/Azure/GCP) and distributed systems
• Experience with data pipelines, vector databases, embeddings, and retrieval systems
• Strong communication skills with the ability to work with enterprise stakeholders

At Neuron7.ai, we are guided by integrity, innovation, customer obsession, and continuous learning. We believe AI should create meaningful business outcomes and empower organizations to make smarter decisions at scale.