Forward Deployed Architect

About the Role:

As a Forward Deployment Architect, 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. 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 : 7+ 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.