Forward Deployed Engineer IRC299929
Key takeaway: GlobalLogic,一家日立集团(Hitachi)旗下的数字工程公司,于2026年8月6日发布了一则名为“前线部署工程师”(Forward Deployed Engineer, IRC299929)的高级职位招聘信息。该职位名为“前线部署 AI 架构师”(Forward-Deployed AI Architect),工作地点位于印度的班加罗尔、钦奈、古尔冈、海得拉巴、那格浦尔、诺伊达和浦那。 该角色的核心目标是将人工智能深度嵌入企业客户的软件交付生命周期(SDLC),从传统的 Scrum 周期转向由意图驱动、高度自主的交付模式。候选人需要直接与客户工程团队合作,通过动手构建架构、设计智能体工作流(Agentic Workflows)和实现可量化的交付成果来证明 AI 主导的工程价值。 职位要求候选人具备 10-15 年以上的软件工程和架构经验,并且必须精通 SDLC、DevSecOps、敏捷/Scrum 框架。关键的技术要求包括对现代 AI 技术栈的实际操作能力,具体涉及 Claude Code、Cursor、Windsurf、GitHub Copilot、LangChain、AutoGen、LlamaIndex、Semantic Kernel、模型上下文协议(MCP)、检索增强生成(RAG)和向量数据库等工具与框架。此外,还需要掌握提示工程、工具调用、函数调用、多智能体编排等前沿技能。该职位提供混合办公模式。
- GlobalLogic 正在招聘“前线部署 AI 架构师”,旨在通过 AI 加速和现代化客户企业的软件交付生命周期。
- 该职位的核心使命是引导客户从传统的、基于工单的 Scrum 周期,转向由意图驱动、具备高度自主性的 AI 交付模型。
- 候选人必须具备 10-15 年以上的软件工程与架构经验,以及深厚的企业级 SDLC、DevSecOps 和敏捷开发知识。
- 关键的技术要求包括直接操作 Claude Code、Cursor、LangChain、AutoGen、LlamaIndex、MCP、RAG 和向量数据库等现代 AI 工程工具。
- 工作职责包括识别 SDLC 瓶颈、设计并交付概念验证(POC)、量化 AI 影响(如缩短周期时间),并向工程团队和高管汇报。
- 工作地点分布在印度的多个主要城市,包括班加罗尔、海得拉巴、浦那等,并采用混合办公模式。
- GlobalLogic 是日立集团旗下公司,自 2000 年起专注于为全球品牌提供数字工程服务。
当大多数公司还在谈论 DevSecOps 和敏捷转型时,GlobalLogic 已经将目光投向了软件工程的下一代范式——AI 原生的软件交付。这份 Forward Deployed AI Architect 的职位描述不仅仅是一个招聘启事,更是一份 AI 工程化的落地宣言。它清晰地描绘了一个未来图景:传统的 Scrum 工单将逐步被“意图驱动”的自主交付模型所取代。对于正在思考如何将 Copilot 等工具从“辅助”升级为“主力”的工程团队来说,这份岗位要求中详细的 AI 技术栈(从 Claude Code 到 MCP 协议)和量化的 AI 影响力评估方法,都提供了极具价值的参考基准。推荐给所有正在进行 AI 转型的技术负责人和架构师阅读。
GlobalLogic 正在招聘“前线部署 AI 架构师”,旨在通过 AI 加速和现代化客户企业的软件交付生命周期。
—— 络石智能编辑部 · Editor's PickForward Deployed Engineer IRC299929
IRC299929
Published on 6 August 2026
Forward Deployed Engineer IRC299929
Function
Engineering
Experience
10-15 years
Location
India - Bangalore, Chennai, Gurgaon, Hyderabad, Nagpur, Noida, Pune
Skills
Autogen, Claude code, Cursor, Google Antigravity, langchain, llamaindex, MCP, openai, RAG, semantic kernel, Vector Databases (AI/RAG)
Work Model
Hybrid
Description
About the Role & Team We are seeking a Forward-Deployed AI Architect to help our enterprise customers radically accelerate and modernize their software delivery lifecycle. In this elite, high-impact role, you will embed directly with customer engineering teams to prove the value of AI-led engineering through hands-on architecture, agentic workflows, and measurable delivery outcomes. This role is designed for senior architects and builders who sit at the intersection of core enterprise software architecture and cutting-edge AI engineering. You will help customers transition from traditional, ticket-bound Scrum cycles toward intent-driven, increasingly autonomous delivery models where AI tools, agents, and human governance seamlessly turn business intent into production-ready software.
Requirements
Candidate Profile: Qualifications & Experience Must-Have Attributes – Experience: 15+ years of proven experience across software engineering, architecture, product/platform engineering, or solution architecture, backed by a strong track record of product-side delivery. – SDLC Mastery: Deep, foundational understanding of enterprise software architecture, DevSecOps pipelines, Agile/Scrum frameworks, and the broader product lifecycle. – Hands-on AI Fluency: Direct, practical fluency with AI development tools, IDE-based AI assistants, agentic workflows, and AI-enabled software delivery. You must possess the ability to build, evaluate, and deeply explain working AI solutions. – Modern AI Tech Stack: Experience leveraging tools and frameworks such as Claude Code, Cursor, Windsurf, GitHub Copilot, LangChain, AutoGen, LlamaIndex, Semantic Kernel, MCP (Model Context Protocol), RAG, and vector databases. – Hands on in Retrieval Augmented Generation (RAG), Vector Databases, Evaluation Frameworks, Prompt Engineering, Tool Calling, Function Calling, Multi-agent orchestration, AI Observability
Good-to-Have Skills – Customer-Facing Excellence: Prior experience in high-touch, customer-facing technical roles (e.g., Forward-Deployed Engineer, Principal Solutions Architect, Field Engineer, or Pre-Sales Engineering Leader). – AI Governance & Security: A strong grasp of AI governance models, human-in-the-loop controls, responsible AI frameworks, observability, and production readiness for AI-enabled enterprise systems.
Job responsibilities
Key Responsibilities 1. Client Engagement & Strategic Architecture
– Identify AI Opportunities: Work directly with customer engineering, product, architecture, and executive teams to diagnose SDLC bottlenecks and map out high-value areas for AI-led acceleration. – Design & Build Proofs of Concept: Act as a hands-on builder to design, develop, and deliver working proofs utilizing modern AI engineering tools, agentic workflows, and automation frameworks. – Lead the Intent-Driven Transition: Guide clients away from rigid, manual sprint mechanics toward fluid, intent-driven delivery loops capable of autonomously generating plans, code, tests, documentation, and validation artifacts.
- Value Measurement & Executive Alignment
– Quantify AI Impact: Define, measure, and report on hard engineering acceleration outcomes, including reduced cycle times, faster story-to-code conversion, improved automated testing, and accelerated code reviews. – Technical & Executive Presentation: Communicate complex technical approaches, agentic architectures, proof results, and long-term adoption strategies to both engineering teams and C-level stakeholders.
What we offer
Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them.
Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities!
Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays.
Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training(GL Vantage, Toast Master),Stress Management program, professional certifications, and technical and soft skill trainings.
Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Group Term Life Insurance, Group Personal Accident Insurance , NPS(National Pension Scheme ), Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses.
Fun Perks: We want you to love where you work, which is why we host sports events, cultural activities, offer food on subsidies rates, Corporate parties. Our vibrant offices also include dedicated GL Zones, rooftop decks and GL Club where you can drink coffee or tea with your colleagues over a game of table and offer discounts for popular stores and restaurants!
About GlobalLogic
GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.
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