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# Vice President of Engineering | US -Remote

- **Company:** Neuron7.AI, Inc.
- **Location:** Mountain View, CA, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** AI Evaluation, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Software as a Service, Cloud Computing, Information Engineering, DevOps, Distributed Systems, Natural Language Processing, Salesforce.Com, Software Engineering, Systems Architecture, Retrieval-Augmented Generation, Large Language Models, Generative AI, Agentic-AI, Data Management, Servicenow, Microservices
- **Published:** November 9, 2026
- **Apply:** https://www.careerbuilder.com/job-details/vice-president-of-engineering-us-remote-mountain-view-ca--ca76b27b-ce77-40e1-9db2-96322ab0fb98

## About the Role

Artificial Intelligence (AI), Automation, Customer Experience, Cost Control, Software as a Service (SaaS), System Architecture, Technical Strategy, Natural Language Processing (NLP), Sales, Software Development, * 15+ years of experience in software engineering, with 5+ years in senior leadership roles

 * Proven experience leading engineering teams in high-growth SaaS or AI companies
 * Strong expertise in distributed systems, cloud platforms (AWS/Azure/GCP), and microservices
 * Experience building and scaling AI/GenAI systems (LLMs, RAG, NLP, search platforms)
 * Track record of delivering enterprise-grade products at scale
 * Strong leadership, communication, and stakeholder management skills

Preferred Qualifications

 * Experience in Field Service, Customer Service, or enterprise operations domain
 * Familiarity with Salesforce, ServiceNow, or enterprise system integrations
 * Experience with vector databases, embeddings, and AI evaluation frameworks
 * Background in data engineering, analytics, or search systems, 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!

## Description

* Define and execute the engineering strategy and technology roadmap aligned with business goals
 * Build, lead, and scale high-performing global engineering teams
 * Drive architecture and delivery of AI/GenAI platforms (LLMs, RAG, NLP, agentic systems)
 * Ensure scalability, reliability, and performance of enterprise SaaS products
 * Partner closely with Product, Sales, and Customer teams to deliver customer-centric solutions
 * Establish best practices in software development, DevOps, and quality engineering
 * Lead hiring, mentoring, and leadership development across engineering teams
 * Drive innovation in AI, data platforms, and cloud infrastructure
 * Manage budgets, planning, and execution for engineering initiatives