About the Role:
As a Forward Deployment Engineer, you will serve as a hands-on senior technical architect on the Applied AI Engineering team, owning the end-to-end design and delivery of AI-driven business transformation projects.
You'll work closely with pre-sales teams to scope technical integration and implementation strategies, translating business requirements into architectural solutions. Once opportunities move to post-sales, you'll own the detailed technical designs from original scoping documents and drive execution including hands-on coding to build proofs-of-concept, custom integrations, and solution prototypes that validate technical feasibility.
As the technical owner of the customer relationship, you'll partner cross-collaboratively to ensure successful delivery. Your role spans from understanding domain-specific customer needs to architecting scalable, agent-based AI solutions using DevRev's platform**, with direct involvement in implementing key technical components and debugging complex integration challenges.
This position requires a unique blend of enterprise architecture expertise, AI solution design, hands-on development skills, 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 business impact.
What You'll Do:
- Customer-facing: 20-40% working directly with customers
- Design & Deploy AI Agents: Build, configure, and launch intelligent agents using 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.
- Lead Execution: Define project plans, align internal teams, and ensure timely delivery of deployments.
- Advise Customers: Act as a trusted technical advisor on AI agent architecture, performance, and long-term scalability.
What You Bring:
- Experience: 5+ years in software development, AI/ML engineering, or technical consulting. Customer-facing experience is a plus.
- Background: Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
- Coding Skills: Strong proficiency using TypeScript/JavaScript, Python, data structures and algorithms, (Nice to have: Go).
- Applied AI Knowledge: Large language models (LLMs), prompt engineering, frameworks like RAG and function calling, and building evals to validate agentic AI solutions.
- Cloud & DevOps: Hands-on experience with AWS, GCP, or Azure, and 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.
- Communication: Strong written and verbal skills to articulate technical concepts to both engineers and business stakeholders.
- Customer Empathy: A bias for action and a relentless focus on solving problems for customers.
- 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.
