Development Expert

Job Description

We help the world run better
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.

The Opportunity

This is more than a development role; it's an opportunity to build the future of legal and commercial technology from the ground up. As a Senior AI Developer, you will be the technical cornerstone for our Contracting AI initiatives. You will architect and build a suite of AI agents, intelligent data products, and innovative use cases that will define our platform. You will work with a rich, complex dataset of legal documents and collaborate closely with product managers, legal experts, and other engineers to solve high-impact problems.

If you are passionate about applying Large Language Models (LLMs), NLP, and machine learning to solve real-world business challenges, this is the role for you.

Key Responsibilities

• AI Agent Development: Design, build, and deploy sophisticated AI agents for tasks such as:
• Contract Review & Analysis: Agents that can read contracts, identify key clauses, extract obligations, and flag non-standard terms or risks.
• Negotiation Assistance: Agents that provide real-time suggestions, fallback positions, and data-driven arguments during contract negotiations.
• Compliance & Obligation Tracking: Agents that monitor contract portfolios for key dates, renewal notices, and compliance requirements.
• Data Product Creation: Transform unstructured contract text into valuable, structured data products. This includes:
• Developing robust data extraction pipelines using a combination of LLMs, traditional NLP (NER, text classification), and rule-based systems.
• Creating a searchable, version-controlled "Clause Library" from thousands of historical contracts.
• Building a "Risk Dashboard" by quantifying and aggregating risk factors across the entire contract lifecycle.
• Architecting AI Systems: Lead the technical design of our AI services, with a focus on Retrieval-Augmented Generation (RAG) in alignment with our architecture and domain experts.
• Design and optimize vector databases and semantic search systems to ensure our AI agents are grounded in accurate, relevant contract data.
• Develop and fine-tune LLMs and other models for domain-specific tasks.
• Implement robust evaluation frameworks to measure and improve model performance, accuracy, and reliability.
• Strategy & Innovation:
• Stay at the forefront of AI research, particularly in LLMs, agentic workflows, and NLP, and champion the adoption of new technologies and methodologies.
• Partner with product leadership to identify and prototype new AI-driven use cases for the contracting domain.
• Technical Leadership & Mentorship:
• Set high standards for code quality, system design, and MLOps practices within the team.
• Mentor junior developers, conduct code reviews, and foster a culture of technical excellence and collaboration.
• Lead end-to-end projects from conceptualization and prototyping to production deployment and maintenance.

Required Qualifications

• Experience: 5+ years of professional experience in software development, with at least 3+ years focused on building and deploying machine learning or AI systems in a production environment.
• Technical Expertise:
• Expert-level proficiency in Python.
• Deep, hands-on experience with modern AI/ML frameworks and libraries (e.g., PyTorch, TensorFlow, Hugging Face Transformers, scikit-learn).
• Proven experience building solutions with Large Language Models (LLMs) and related frameworks (e.g., LangChain, LlamaIndex).
• Strong understanding and practical application of Retrieval-Augmented Generation (RAG), including vector databases (e.g., Pinecone, Weaviate, Chroma) and semantic search.
• Software Engineering Foundation:
• Strong experience designing, building, and consuming RESTful APIs.
• Proficiency with cloud platforms (AWS, GCP, or Azure) and their AI/ML services (e.g., SageMaker, Vertex AI, Azure Machine Learning).
• Experience with containerization (Docker) and orchestration (Kubernetes).
• Problem Solving: A proven track record of taking ambiguous business problems, translating them into technical requirements, and delivering effective, end-to-end AI solutions.

Preferred Qualifications (Nice-to-Haves)

• Domain Knowledge: Experience in Legal Tech, Contract Lifecycle Management (CLM), procurement, or working directly with legal/contract data is a significant plus.
• Advanced NLP: Experience with advanced NLP techniques such as Named Entity Recognition (NER), relation extraction, and text summarization in a commercial setting.
• MLOps: Hands-on experience with MLOps principles and tools for model versioning, automated training/deployment, and monitoring (e.g., MLflow, Kubeflow, DVC).
• Academic Background: MS or PhD in Computer Science, AI, Machine Learning, or a related field.
• Leadership: Experience acting as a tech lead or mentoring other engineers.

Bring out your best
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.

We win with inclusion
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. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com.

For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.

Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.

Successful candidates might be required to undergo a background verification with an external vendor.

AI Usage in the Recruitment Process

For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.

Please note that any violation of these guidelines may result in disqualification from the hiring process.

Requisition ID: 446862 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid