Forward Deployed Engineer - Deployment Architect

Forward Deployed Engineer - Deployment Architect

Location Preferences: Texas, New Jersey

DevRev

DevRev’s AgentOS, purpose-built for SaaS companies, comprises three modern CRM apps for support, product, and growth teams. It connects end users, sellers, support, product people, and developers, reducing 9 business apps and converging 6 teams onto a common platform.

Unlike horizontal CRMs, DevRev takes a blank canvas approach to collaboration, AI, and analytics, enabling SaaS companies to increase product velocity and reduce customer churn. DevRev is used by thousands of companies in search of low latency analytics and customizable LLMs to thrive in this era of GenAI.

Headquartered in Palo Alto, California, DevRev has offices in seven global locations. We have raised $100 million in funding from investors like Khosla Ventures and Mayfield at a $1.1 billion valuation. We are also honored to be named on the Forbes 2024 list of America’s Best Startup Employers. Founded in October 2020 by Dheeraj Pandey, former co-founder and CEO of Nutanix, and Manoj Agarwal, former SVP of Engineering at Nutanix, DevRev continues to push the boundaries of innovation, helping thousands of companies thrive in the rapidly evolving landscape of AI-driven SaaS.

Team: Echo - Applied AI Engineering

About this Role:

As a Customer Deployment Architect, 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 AgentOS 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.

What You'll Do:

• 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.

What You Bring

• Experience: 8+ years in solution architecture or consulting roles, focused on enterprise-scale, customer-facing software implementations.
• AI Cloud: Hands-on experience with generative AI tools, cloud platforms (AWS, GCP, or Azure), and modern integration patterns (APIs, webhooks, pipelines).
• Business Acumen: Strong understanding of customer priorities, with the ability to translate business needs into technical execution plans.
• Design Thinking: A problem-solver with a growth mindset, skilled in crafting scalable and future-proof architectures.
• Communication: Exceptional ability to convey complex technical and business concepts to diverse stakeholders—both technical and non-technical.
• Project Leadership: Proficiency with project planning tools and methodologies; capable of managing multiple solution tracks and timelines.
• Metrics Focus: Proven ability to define and track success through OKRs, KPIs, and tangible business outcomes.
• SaaS Platform Fluency: Background in SaaS or enterprise platforms, with understanding of extensibility and multi-tenant design principles.
• Education: Bachelor's degree in Computer Science, Engineering, or related discipline. Advanced degrees or certifications in AI/architecture frameworks (e.g., TOGAF, SAFe) are a plus.