As a Forward Deployed AI Strategist, 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.

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.

What you'll bring

Experience: 7+ 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.