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Solutions Architect; Salesforce​/ServiceNow AI -Field Service Transformation

Job in Oakland, Alameda County, California, 94616, USA
Listing for: Neuron 7
Full Time position
Listed on 2026-10-28
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), AI Business & Operations, IT Consultant
Salary/Wage Range or Industry Benchmark: 180000 - 210000 USD Yearly USD 180000.00 210000.00 YEAR
Job Description & How to Apply Below

Solutions Architect (Salesforce / Service Now) – AI
-Field Service Transformation

Location: USA (Remote)

Experience

Required:

10+ Years

Work Authorization Requirement:
This position is not eligible for visa sponsorship. Applicants must already possess valid authorization to work in the United States.

About Neuron
7.ai

Neuron
7.ai is a rapidly growing AI-first SaaS company building category-defining Service Intelligence solutions for global enterprises. Our platform combines Agentic AI, Large Language Models (LLMs), enterprise knowledge, and workflow automation to help organizations solve complex service and operational challenges faster and more accurately.

As enterprises transition from traditional software to AI-powered autonomous systems, Neuron
7.ai is leading the next wave of innovation through multi-agent architectures, intelligent orchestration, and enterprise-scale AI deployments. Our solutions help service organizations improve operational efficiency, accelerate issue resolution, and drive measurable business outcomes.

About the Role

We are seeking a Principal AI Solutions Architect to lead the design, deployment, and adoption of Agentic AI solutions for enterprise customers.

This is not a traditional architecture role. You will work directly with customers to translate complex business challenges into AI-powered solutions that deliver measurable value. As a trusted advisor, you will engage with executives, architects, operations leaders, and engineering teams to design and implement intelligent workflows powered by AI agents, enterprise knowledge, and workflow automation.

You will play a critical role in bridging the gap between cutting-edge AI technologies and real-world enterprise outcomes, helping customers successfully deploy and scale AI solutions in production environments.

What You'll Do
  • Lead customer discovery sessions, solution workshops, and technical strategy discussions.

  • Design and architect Agentic AI solutions for enterprise service and operational use cases.

  • Build and deploy multi-agent systems capable of reasoning, planning, orchestration, and autonomous decision-making.

  • Translate business processes into AI-powered workflows that improve productivity, efficiency, and customer outcomes.

  • Partner with customer stakeholders to drive successful implementation, adoption, and business value realization.

  • Define integration architectures connecting AI agents with enterprise applications, APIs, knowledge repositories, and operational systems.

  • Collaborate with Product, Engineering, and AI teams to shape platform capabilities and customer solutions.

  • Establish best practices for AI governance, security, observability, and responsible AI deployment.

  • Provide technical leadership throughout the customer lifecycle, from solution design to production rollout.

Required Qualifications
  • 10+ years of experience in Solution Architecture, Enterprise Architecture, Platform Engineering, Technology Consulting, or related fields.

  • Proven experience delivering 0-to-1 products, platforms, or AI-powered solutions in enterprise environments.

  • 5+ years of hands-on experience implementing AI/ML, Generative AI, or Agentic AI solutions in production.

  • Strong experience supporting the deployment, integration, and adoption of AI solutions for enterprise customers.

  • Demonstrated expertise in designing and deploying multi-agent systems, AI workflows, and enterprise AI applications.

  • Deep understanding of enterprise integrations, APIs, data architectures, and workflow orchestration.

  • Experience leading customer-facing engagements, including discovery workshops, solution design, implementation, and adoption initiatives.

  • Hands-on experience with Agentic AI frameworks such as Lang Graph, CrewAI, Auto Gen, Semantic Kernel, Agentforce,…

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