DevRev
Website:
devrev.ai
Job details:
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.
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: 80% 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.
- Travel: This role requires approximately 80% travel, primarily for customer implementations, technical workshops and on-site engagements.
As part of our hiring process, shortlisted candidates will undergo a Background Verification (BGV). By applying, you consent to sharing personal information required for this process. Any offer made will be subject to successful completion of the BGV.
Click on Apply to know more.
