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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.

Responsibilities

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.

Requirements

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.
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.

Skills

Generative AI
Cloud-native engineering
Python
Java
TypeScript
JavaScript
LangGraph
LangChain
CrewAI
Semantic Kernel
AutoGen
LLMs
RAG
MCP
Prompt engineering
Embeddings
Vector databases
Agentic AI
REST APIs
Microservices
Docker
Kubernetes
Git
CI/CD
AWS
Azure
GCP
Enterprise application integration
SAP BTP
SAP AI Core
Joule
SAP Business AI
Knowledge Graphs
GraphRAG
AI evaluation
AI observability
GitHub Copilot
Cursor
Claude Code

Location

New York City, NY

Work Type

Hybrid
Regular Full Time

Experience Level

3-7 years of professional software engineering experience
Associate AI Developers

Education Level

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Information Technology, or a related discipline.

Salary/Compensations

90000-198500 USD

Benefits

Constant learning
Skill growth
Great benefits
SAP North America Benefits

About the Company

We help the world run better at SAP.
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively.
Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management.
As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development.
Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves.
At SAP, you can bring out your best.

Equal Opportunity

SAP's culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best.
At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential.
We ultimately believe in unleashing all talent and creating a better world.
SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities.
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.