Forward Deployed Architect

DevRev; Mumbai; In loco; INR 4.000.000 - 7.000.000; Tempo pieno

Descrizione del lavoro

DevRev Inc. is seeking a Forward Deployment Architect to own end-to-end AI-driven business transformation projects.

You will design and deliver AI agent solutions, integrate systems with external platforms, and optimize agent performance while collaborating closely with pre-sales and customers. You will serve as a hands-on senior architect, translating requirements into scalable architectures, leading live demos, and guiding deployments across cloud environments.

Competenze

• 7+ years in software development, AI/ML engineering, or technical consulting.
• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• Proficient with TypeScript/JavaScript and Python.
• Experience with LLMs, prompt engineering, and frameworks like RAG and function calling.
• Cloud & DevOps hands-on with AWS, GCP, or Azure; CI/CD and containers.

Mansioni

• Design & deploy AI agents using the DevRev platform to solve real customer problems.
• Integrate systems via APIs, webhooks, and data pipelines for seamless automation.
• Tune prompts, logic, and agent configurations for accuracy, reliability, and scalability.
• Own requirements by translating customer needs into technical agent specifications.
• Prototype & iterate through live demos and rapid proof-of-concepts with customer feedback.
• Lead project plans, align internal teams, and ensure timely deployments.
• Advise customers as a trusted technical architect on AI agent architecture and long-term scalability.

Conoscenze

TypeScript/JavaScript

Python

Algorithms

LLMs

Prompt engineering

RAG

Function calling

APIs

Formazione

Bachelors/Masters in CS/Engineering

Strumenti

CI/CD

Containers

Observability

Cloud platforms (AWS/GCP/Azure)

Descrizione del lavoro

At DevRev, we're building the future of work with Computer – your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers – updating workflows, coordinating across teams, and eliminating repetitive work.

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. 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.

Experience and Qualifications

• 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.
• 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.
• Preferred: Advanced degrees or certifications in AI/architecture frameworks (e.g., TOGAF, SAFe) are a plus.