AI-Native Software Engineering Americas Market

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About Accenture : Accenture helps the world's leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed for organizations across industries. Our strategy is to be the reinvention partner of choice for our clients and lead in the safe, widespread adoption of AI, and to be the most client-focused, AI-enabled, great place to work in the world. We bring together the talent of our approximately 814,000 people with proprietary assets and platforms, deep process and industry expertise, and leading ecosystem relationships to deliver end-to-end solutions and measurable outcomes at scale. Through our Reinvention Services, we offer broad expertise across Cybersecurity, Digital Core, Finance, Industry and Enterprise, Song, Supply Chain and Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and Technology. We serve approximately 9,000 clients and generated approximately $74 billion in FY26 revenue. Visit us at accenture.com. We are: A forward-thinking services company at the forefront of AI-native engineering. We partner with enterprise clients to design, build, and run production systems in which AI is a first-class engineering capability, engineered into the product and into the way our teams build it. Our engineers embed deeply with customers, own the code they ship, and move work past experimentation into operational reality. You are: An engineer who builds across the stack: front end, APIs, services, data, and the infrastructure it runs on. You take ownership of a feature through to production, including the parts that sit outside your strongest layer, and you have shipped software that real users depend on. You can explain the design decisions behind your work and what you would do differently. AI is part of how you work. You use AI tools daily to generate, test, debug, and document code, and you have built at least one production feature in which a model performs meaningful work. You understand what it takes for a system to hold up under production load, security review, and real users. You'll grow into an engineer who can own an entire system, developing depth in cloud, security, data, and agentic engineering alongside senior engineers who remain hands-on in the code with you. The Work: You'll work as part of a client-embedded engineering team, taking real features from design through production. You will be handed problems to solve, and you will be expected to ask precise questions, make progress under ambiguity, and put working software in front of stakeholders quickly. Build Across the Stack Build and ship production features across front end, APIs, backend services, integration, and data, taking a feature end to end across every layer it touches. Read and debug unfamiliar code, trace a problem across application, data, and infrastructure boundaries, and fix the underlying cause. Build and Run on Cloud-Native Platforms Develop, containerize, and deploy services on a major cloud platform using Docker, Kubernetes or serverless, and managed cloud services. Apply infrastructure as code (Terraform, Helm, or equivalent), and take part in keeping your services healthy, observable, and recoverable in production. Work Inside the Delivery Pipeline Work within automated CI/CD pipelines, writing the automated tests, resolving pipeline failures, and taking your own changes through to production. Apply secure engineering practices as you code, including identity and access fundamentals, secrets handling, dependency hygiene, and input validation. Work With Data and Context Design and implement the data access your features need across relational and non-relational stores, APIs, object storage, and event platforms. Build the retrieval and context layers AI features depend on, including knowledge sources, embeddings, metadata, and context management, applying data quality, access, and privacy controls as you go. Build AI Features and Agent Workflows

关于埃森哲：埃森哲帮助全球领先企业通过构建数字核心、释放AI力量来实现重塑，为各行业组织快速创造价值。我们的战略是成为客户首选的重塑合作伙伴，引领AI的安全、广泛采用，并成为全球最以客户为中心、AI赋能的卓越职场。我们汇聚约814，000名人才的智慧，结合专有资产和平台、深厚的流程与行业专业知识以及领先的生态系统关系，大规模交付端到端解决方案和可衡量的成果。通过我们的重塑服务，我们在网络安全、数字核心、金融、行业与企业、Song、供应链与工程以及人才领域提供广泛的专业知识，并在AI与数据、行业与流程以及技术方面拥有先进能力。我们服务约9，000家客户，2026财年营收约740亿美元。请访问 accenture.com 了解更多。我们是：一家具有前瞻性思维的服务公司，处于AI原生工程的前沿。我们与企业客户合作，设计、构建和运行生产系统，在这些系统中，AI是一流的工程能力，被工程化到产品中，也融入到我们团队的构建方式中。我们的工程师与客户深度嵌入，对自己交付的代码负责，推动工作从实验阶段走向运营现实。你是：一名跨栈构建的工程师：前端、API、服务、数据以及运行其上的基础设施。你对一个功能从开发到生产全程负责，包括那些不在你最强领域的部分，并且你交付过真实用户依赖的软件。你能够解释工作背后的设计决策，以及你会如何做出不同的选择。AI是你工作方式的一部分。你每天使用AI工具来生成、测试、调试和编写代码文档，并且你至少构建过一个由模型执行有意义工作的生产功能。你理解系统需要具备什么才能在生产线负载、安全审查和真实用户面前保持稳定。你将成为一名能够拥有整个系统的工程师，在云计算、安全、数据和智能体工程方面发展深度，与仍然和你一起动手写代码的资深工程师并肩工作。工作内容：你将作为客户嵌入式工程团队的一员，将真实功能从设计推进到生产。你将被交付需要解决的问题，并被期望提出精确的问题、在模糊中取得进展，并快速将可运行的软件呈现给利益相关者。跨栈构建：在前端、API、后端服务、集成和数据之间构建并交付生产功能，将一个功能端到端地贯穿它所涉及的每一层。阅读和调试不熟悉的代码，跨应用、数据和基础设施边界追踪问题，并修复根本原因。在云原生平台上构建和运行：在主流云平台上使用Docker、Kubernetes或无服务器架构以及托管云服务来开发、容器化和部署服务。应用基础设施即代码（Terraform、Helm或等效工具），并参与保持你的服务在生产中的健康、可观测和可恢复。在交付流水线内工作：在自动化CI/CD流水线中工作，编写自动化测试、解决流水线故障，并将你自己的变更推进到生产。在编码时应用安全工程实践，包括身份和访问基础、密钥处理、依赖卫生和输入验证。处理数据与上下文：为你的功能所需的数据访问进行设计和实现，涵盖关系型和非关系型存储、API、对象存储和事件平台。构建AI功能所依赖的检索和上下文层，包括知识源、嵌入、元数据和上下文管理，并在过程中应用数据质量、访问和隐私控制。构建AI功能和智能体工作流

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