AI Agentic Engineering Senior

About SAP

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.

Role Details

• This is a hybrid role based out of SAP Vancouver office, working in-office with the team 3 days per week.

What you'll build

We are seeking a AI Agentic Engineering Senior with strong software development skills to design, build, and bring to production enterprise-grade AI solutions that drive measurable business impact. The ideal candidate will possess expertise in full-stack development and a solid foundation in object-oriented programming, data structures, algorithms, and design patterns. Experience in working with programming languages such as Node.js (preferred), Java, and Python is essential, as well as a sound understanding of Agile methodologies like Scrum and Kanban.

Responsibilities

• Design, develop and deploy AI and (gen)AI services and solutions from proof of concept to full enterprise production
• Build and maintain data pipelines and model deployment workflows for scalable, secure AI systems
• Implement CI/CD and MLOps practices to automate model training, testing and deployment
• Collaborate with Product Owners and data scientists to translate requirements into technical specifications
• Develop and integrate multi-agent AI and LLM-based products and solutions
• Ensure reliability, observability and compliance of deployed AI solutions
• Guide and mentor junior colleagues to foster AI engineering excellence across teams

What you bring

• Bachelor Degree in computer science or a similar field
• Minimum 7 years experience in software development
• Advanced coding skills in Python (preferred) or Java, with solid understanding of software engineering principles
• Experience with backend frameworks (FastAPI, Flask, Django) and microservice architectures
• Familiarity with containerization and orchestration tools (Docker, Kubernetes, GitHub Actions, MLFlow)
• Experience implementing CI/CD and MLOps pipelines in cloud environments (Azure ML, Databricks, AWS)
• Hands-on experience with data ETL, APIs and model deployment workflows
• Knowledge of distributed systems and data platforms for big data
• Understanding of Agile, SAFe methodologies and collaborative engineering practices
• Fluent English and a proactive, problem solving mindset
• Nice to have but not a must:
• Experience with multi-agent or generative AI frameworks (e.g., LangChain, CrewAI)
• Familiarity with SAP AI Core, SAP BTP
• Experience w