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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Forward Deployed AI Engineer - **Company:** Cypress Semiconductor Corporation - **Location:** New York, NY, United States - **Experience:** Experienced - **Salary:** $90,000.0 - $198,500.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Engineering, Code Review, Databases, Continuous Integration, Cursor (Graphical User Interface Elements), Graph Database, Python (Programming Language), Software Tools, SAP (Applications), SAP Business Suiteing, Software Engineering, Systems Integration, TypeScript, Enterprise Software Applications, Spring Cloud, GitHub Copilot, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, SAP Business Technology Platform, Git, AI Platforms, Kubernetes, Information Technology, Free and Open-Source Software, Virtual Agents, Restful APIs, Docker, Microservices - **Published:** September 16, 2026 - **Apply:** https://jobs.sap.com/talentcommunity/apply/1421516033/?locale=en_US ## About the Role As a Forward Deployed AI Engineer, you will independently build AI-native enterprise applications and work directly with customers to solve complex business problems. You will own technical workstreams, design production-grade AI solutions, and collaborate with architects to deliver scalable, secure, enterprise-ready AI applications. This role is designed for engineers with 3-7 years of experience who are passionate about Generative AI, cloud-native engineering, and customer success., * Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Information Technology, or a related discipline. * 3-7 years of professional software engineering experience. * Strong Python programming skills with experience in Java, TypeScript, or JavaScript. * Hands-on experience with LangGraph, LangChain, CrewAI, Semantic Kernel, AutoGen, or similar frameworks. * Strong understanding of LLMs, prompt engineering, embeddings, vector databases, RAG, MCP, and agentic AI. * Experience building REST APIs, microservices, and cloud-native applications. * Hands-on experience with Docker, Kubernetes, Git, CI/CD, and AWS, Azure, or GCP. * Experience integrating enterprise applications and databases. * Exposure to SAP BTP, SAP AI Core, Joule, or SAP Business AI services is highly desirable. * Excellent communication, analytical thinking, ownership, and customer engagement skills. Nice to have * Experience with Knowledge Graphs, GraphRAG, AI evaluation, and AI observability. * Experience delivering enterprise AI projects in customer-facing roles. * Open-source contributions, hackathons, or technical community involvement. * Experience using GitHub Copilot, Cursor, Claude Code, or similar AI-assisted engineering tools. #SAPIndustryAICareers ## Description * Design and implement production-grade AI applications using modern software engineering practices. * Develop AI agents using LLMs, RAG, MCP, tool calling, structured outputs, and multi-agent orchestration. * Build integrations with SAP products, enterprise applications, APIs, databases, and external services. * Deploy and operate AI applications on SAP AI Core, SAP BTP, Kubernetes, and public cloud platforms. * Own customer-facing technical workstreams and translate business requirements into working AI solutions. * Develop reusable frameworks, accelerators, and reference implementations. * Perform code reviews and mentor Associate AI Developers. * Optimize AI systems for performance, reliability, observability, and cost. * Collaborate with architects, product engineering, and customer stakeholders. * Drive innovation through prototypes and emerging AI technologies. ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [AI Pair Programming with GitHub Copilot at SAP: Looking Back, Looking Forward!](https://www.wearedevelopers.com/videos/1546-ai-pair-programming-with-github-copilot-at-sap-looking-back-looking-forward) - [Branch your database like your code: How schema changes and pull requests go hand in hand](https://www.wearedevelopers.com/videos/350-branch-your-database-like-your-code-how-schema-changes-and-pull-requests-go-hand-in-hand) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [Transforming Software Development: The Role of AI and Developer Tools](https://www.wearedevelopers.com/magazine/527-transforming-software-development-the-role-of-ai-and-developer-tools) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)