Architect - Forward Deployed

DevRev

Bengaluru

On-site

INR 3,000,000 - 6,000,000

Full time

13 days ago

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Job summary

DevRev in Bengaluru (India) seeks a Forward Deployment Architect to lead end-to-end AI-driven business transformation projects. You will be a hands-on senior technical architect on the Applied AI Engineering team, owning design, delivery, and integration strategies with pre-sales and post-sales stakeholders.

You will architect scalable, agent-based AI solutions on DevRev's platform, perform live demos, build proofs-of-concept, and drive successful deployments with cross-functional teams.

Qualifications

  • 10+ years in software development, AI/ML engineering, or technical consulting.
  • Customer-facing experience is a plus.
  • Bachelor's or Master's degree in Computer Science, Engineering, or related field.
  • Experience architecting AI solutions and scalable systems.

Responsibilities

  • Customer-facing work with customers (20-40%).
  • Design and deploy AI agents using the DevRev platform.
  • Integrate systems via APIs, webhooks, and data pipelines.
  • Optimize prompts and agent configurations for reliability and scale.
  • Own requirements and translate them into technical agent specs.
  • Prototype and iterate through live demos and proofs-of-concepts.
  • Lead project execution and ensure timely deployments.
  • Advise customers on AI agent architecture and long-term scalability.

Skills

AI/ML engineering
Enterprise architecture
Customer-facing
Hands-on coding
Pre-sales collaboration

Education

Bachelor's/Master's in Computer Science or Engineering

Tools

RAG
Function calling
Cloud platforms (AWS/GCP/Azure)

Job description

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: 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: 10+ 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.
  • 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.

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.

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