Forward Deployed Architect

• Design the detailed AI-driven business transformation, applied AI requirements, and architect the solution needed for customer needs
• Design solutions (AI Agents, Skills, and workflows, etc.) that are aligned with industry best practices, meet the customer needs, and are reusable across other customers
• Create and maintain Applied AI proposals, estimates, solution designs, detailed requirements and measurement framework for KPIs and outcomes
• Design & Deploy AI Agents: Build and configure intelligent solutions leveraging snap-ins, connectors (AirSync), workflows, and AI agents on the DevRev platform to solve real customer problems
• Integrate Systems: Connect AI agents with external platforms (e.g., CRMs, APIs, databases) for seamless workflow automation
• Optimize Performance: Tune prompts, logic, and agent configurations for accuracy, reliability, and scalability
• Own Requirements: Partner with customers to deeply understand their needs and translate them into technical agent specifications
• Prototype & Iterate: Lead live demos, build rapid proof-of-concepts, and refine solutions through customer feedback
• Advise Customers: Act as a trusted technical advisor on AI agent architecture, performance, and long-term scalability
• Travel Ready: Willingness to travel up to 50% for on-site discovery, deployment, and customer engagement

• 5+ years in software development, AI/ML engineering, or technical consulting with customer-facing experience
• Customer Empathy: A bias for action and a relentless focus on solving problems for customers
• Coding Skills: Strong proficiency using TypeScript/JavaScript, Python, data structures and algorithms.
• Communication: Strong written and verbal skills to articulate technical concepts to both engineers and business stakeholders
• Applied AI Knowledge: Large language models (LLMs), prompt engineering, frameworks like RAG and function calling, and building evals to validate agentic AI solutions. Must be able to articulate AI build experiences, challenges, and trade-offs
• Architecture & Solutioning: Demonstrated experience designing scalable enterprise architecture solutions with security, scalability, and identity management considerations
• Cloud & DevOps: Hands-on experience with AWS, GCP, or Azure at enterprise scale
• modern DevOps practices (CI/CD, containers, observability)
• System Integration: Comfortable integrating systems via APIs, webhooks, and event/data pipelines
• Data-Driven Mindset: Use A/B testing, telemetry, and metrics to guide decisions and drive improvements
• Background: Bachelor’s or Master’s degree in Computer Science, Engineering, or related discipline. Advanced degrees or certifications in AI/architecture frameworks (e.g., TOGAF, SAFe) are a plus

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