Forward Deployment Architect

DevRev; Mumbai; On-site; INR 2,800,000 - 4,000,000; Full time

Job summary

DevRev is seeking a Forward Deployment Architect to own end‑to‑end AI‑driven business transformation projects on the Applied AI Engineering team. You will translate business requirements into scalable, agent‑based AI solutions using DevRev’s platform and drive execution including hands‑on coding for proofs‑of‑concept and custom integrations.

You will partner with pre‑sales and post‑sales teams, bridging engineering and product to deliver technically feasible, enterprise‑grade deployments with a

Qualifications

• 7+ years in software development, AI/ML engineering, or technical consulting.
• Bachelor’s or Master’s degree in CS, Engineering, or related field.
• Proficiency with TypeScript/JavaScript and Python; Go is a plus.
• Experience with LLMs, prompt engineering, RAG, and evaluation of AI solutions.
• Hands‑on experience with cloud platforms (AWS/GCP/Azure) and modern DevOps (CI/CD, containers).
• Strong API, webhook, and data‑pipeline integration skills.
• Ability to translate customer needs into technical agent specifications and architectures.
• Excellent communication and customer‑facing skills; travel ~80% for deployments.

Responsibilities

• Customer‑facing: 80% direct interaction with customers and stakeholders.
• Design and deploy AI agents: build, configure, and launch intelligent agents on DevRev platform.
• Integrate systems: connect agents to CRMs, APIs, databases for workflow automation.
• Optimize performance: tune prompts, logic, and configurations for reliability and scale.
• Own requirements: translate customer needs into detailed agent specs.
• Prototype & iterate: lead live demos, rapid proofs‑of‑concept, iterate with feedback.
• Lead execution: define project plans, align teams, ensure timely deployments.
• Advise customers: act as technical advisor on AI agent architecture and scalability.

Skills

TypeScript/JavaScript

Python

Data structures

Go

LLMs

Prompt engineering

RAG

Function calling

AWS

GCP

Azure

CI/CD

Containers

Observability

APIs

Webhooks

Event/data pipelines

A/B testing

Telemetry

Metrics

Communication

Customer empathy

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

Tools

AWS

GCP

Azure

Job description

Job Description:

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.