应用AI成员 - 架构师 {诺伊达}
Member of Applied AI - Architect { Noida}
关于 DevRev
在 DevRev，我们正在用 Computer —— 你的 AI 合作伙伴，打造未来的工作方式。与传统工具不同，Computer 将所有数据源、工具和工作流程统一到一个 AI 就绪的平台上，为员工提供实时洞察、主动建议和强大的代理操作。它通过 AI 原生的应用程序和代理扩展你现有的软件，与你的团队和客户协同工作——更新工作流程，协调跨团队协作，并消除重复性工作。我们称之为团队智能：人机协作，打破信息孤岛，让人员重新聚在一起，让你专注于解决更大的问题。DevRev 获得了 Khosla Ventures 和 Mayfield 的投资，融资超过 1.5 亿美元，被各行各业的全球公司所信赖。
职位描述：
作为 Forward Deployment Architect，你将作为 Applied AI Engineering 团队的一名经验丰富的技术架构师，负责 AI 驱动的业务转型项目的端到端设计和交付。
你将与售前团队紧密合作，确定技术集成和实施策略，将业务需求转化为架构解决方案。一旦机会进入售后阶段，你将负责从原始规划文档中制定详细的技术设计，并推动执行，包括亲自编写代码来构建原型、定制集成和解决方案原型，以验证技术可行性。
作为客户关系的技术负责人，你将跨部门协作，确保成功交付。你的职责从理解特定领域的客户需求，到使用 DevRev 平台构建可扩展的基于代理的 AI 解决方案，直接参与关键技术组件的实现和复杂集成挑战的调试。
该职位需要企业架构专业知识、AI 解决方案设计、动手开发技能、客户同理心和跨职能协作能力。你将在售前、客户成功、工程和产品团队之间起到桥梁作用，将我们的 AI 能力带入现实，产生实际的业务影响。
你会做：
- 客户接触：80% 的时间直接与客户合作
- 设计与部署 AI 代理：使用 DevRev 平台构建、配置并发布智能代理，解决客户的实际问题。
- 系统集成：将 AI 代理与外部平台（例如 CRM、API、数据库）连接，实现无缝的工作流程自动化。
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About DevRev
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. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries.
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.
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.
DevRev is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
Originally posted on Himalayas