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DevRev Logo DevRev · IT - Software Development

Customer Solutions Architect (Ai Platform)

Argentina, Buenos Aires · Job Posted May 04, 2026
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Job Description

At DevRev, we're building the future of work with Computer – your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers – updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries. As a Forward Deployed Engineer (Customer), you will serve as the lead technical strategist embedded with our customers. You'll own the end-to-end design of AI-driven business transformation projects from understanding domain-specific needs to architecting scalable agent-based solutions using DevRev's platform. This role requires a unique blend of enterprise architecture, AI solutioning, customer empathy, and cross-functional collaboration. You'll act as the connective tissue between pre-sales, customer success, engineering, and product teams bringing our AI capabilities to life for real-world impact.

Job Responsibility

  • Own Customer Context: Deeply understand customer business domains, systems, and OKRs/KPIs to guide solution design
  • Architect AI Transformation: Design and document AI-driven workflows, agents, skills, and system integrations that align with customer goals and industry best practices
  • Be a Trusted Advisor: Build strong partnerships with customer stakeholders as their technical counterpart, delivering confidence in our platform's capabilities
  • Translate & Coordinate: Bridge the gap between pre-sales/CS and engineering, ensuring requirements are actionable and outcomes measurable
  • Design Reusability: Architect modular, scalable solutions that can be extended across customers and verticals
  • Drive Delivery: Collaborate with Applied AI engineers to oversee solution implementation, ensuring architectural alignment and execution excellence
  • Support Pre-Sales: Partner with sales engineers and customer teams to scope new opportunities, define technical requirements, and provide input on feasibility and effort
  • Lead Innovation: Stay ahead of emerging trends in AI, software integration, and business transformation—and bring that insight to our solution designs
  • Maintain Quality & Compliance: Ensure all solutions meet performance, security, and compliance standards
  • Travel Ready: Willingness to travel up to 50% for on-site discovery, deployment, and customer engagement

Requirements

  • 7+ years in solution architecture or consulting roles, focused on enterprise-scale, customer-facing software implementations
  • Hands-on experience with generative AI tools, cloud platforms (AWS, GCP, or Azure), and modern integration patterns (APIs, webhooks, pipelines)
  • Strong understanding of customer priorities, with the ability to translate business needs into technical execution plans
  • A problem-solver with a growth mindset, skilled in crafting scalable and future-proof architectures
  • Exceptional ability to convey complex technical and business concepts to diverse stakeholders, both technical and non-technical
  • Proficiency with project planning tools and methodologies
  • capable of managing multiple solution tracks and timelines
  • Proven ability to define and track success through OKRs, KPIs, and tangible business outcomes
  • Background in SaaS or enterprise platforms, with understanding of extensibility and multi-tenant design principles
  • Bachelor's degree in Computer Science, Engineering, or related discipline

Nice to have

Advanced degrees or certifications in AI/architecture frameworks (e.g., TOGAF, SAFe)

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