DevRev
Forward Deployed Engineer (Customer)
About this role
DevRev seeks a Forward Deployed Engineer to serve as the primary technical strategist embedded with enterprise customers, designing and implementing AI-driven business transformation solutions on the DevRev platform. You'll bridge pre-sales, engineering, and customer success teams to architect scalable agent-based workflows that address real-world business challenges.
What you'll do
- Understand customer business domains, systems, and KPIs to guide AI solution design and architecture
- Design AI-driven workflows, agents, and system integrations aligned with customer goals and industry standards
- Build trusted partnerships with customer stakeholders as their technical advisor and strategic partner
- Collaborate with Applied AI engineers to oversee solution implementation and ensure architectural alignment
- Support pre-sales activities by scoping opportunities, defining technical requirements, and assessing feasibility
- Travel up to 50% for on-site customer discovery, deployment, and engagement activities
What they're looking for
- Enterprise solution architecture and consulting (7+ years)
- Generative AI tools and applications
- Cloud platforms (AWS, GCP, or Azure)
- API integrations and modern integration patterns
- Business analysis and translating requirements into technical plans
- Project planning and multi-track timeline management
- Stakeholder communication and presentation skills
- SaaS and enterprise platform design principles
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DevRev
DevRev builds an AI platform that enables enterprise customers to design and deploy intelligent agents, automations, and integrations to transform their business operations. The company is hiring Forward Deployed Engineers to architect and implement custom AI-driven solutions embedded with customers, as well as Enterprise Sales Engineers to guide customers through technical evaluation and adoption of its platform.
- Website
- devrev.ai
Likely interview questions
- Walk us through a complex enterprise software implementation you led. How did you translate business requirements into a technical architecture, and how did you measure success?
- Describe your hands-on experience with generative AI tools and how you've architected AI-driven solutions. What was the outcome?