Applied AI Senior Developer

SAP; Singapore; On-site; SGD 160,000 - 200,000; Full time

Job summary

SAP Singapore is seeking a Technical Lead within the Applied AI Builders pod to shape agentic systems, supervise Claude-style generators, and drive end-to-end AI engineering from problem framing to deployment. You will partner with product and platform teams, and continuously learn SAP technologies as you build robust, scalable AI solutions.

You will own multi-agent workflows, ontology-grounded agents, and evaluative frameworks, delivering prototypes to production while advancing architectural

Qualifications

• 6 - 9 years of end-to-end experience building agentic systems, production-grade RAG, and evaluation frameworks.
• Supervise Claude-style generators at the architecture level, spotting brittle abstractions or wrong design choices and explaining why.
• Stack-fluid, with SAP BTP exposure (Kyma, CAP, HANA Cloud, kernel services, CPI/destination services).
• Ontology or knowledge-graph experience is a plus.
• Learning agility — rapidly pick up new models, SAP technologies, ontologies, and industry processes and adapt.
• Bias for action — move quickly from ambiguity to a working prototype and learn through execution.
• Critical thinking — ask the right questions to stay focused on the objective.
• End-to-end ownership — own the outcome from problem definition through build, deployment, and evaluation.

Responsibilities

• Shaping patterns and standards, partnering with product and platform teams, and helping others learn how to work effectively with AI coding and brainstorming tools.
• Supervise Claude-style code generators and AI brainstormers, and provide architectural guidance.
• Build prototypes-to-production and scale what proves valuable in collaboration with platform and product teams.
• Design multi-agent workflows and ontology-grounded agents, and build eval frameworks to prove improvements over prompt/MCP-based approaches.
• Join Applied AI Builders pod and contribute to frontier AI-native engineering initiatives.

Skills

End-to-end AI system development

Claude-style supervision

Learning agility

Bias for action

Critical thinking

End-to-end ownership

Architectural judgement

Cross-functional collaboration

Tools

Python

TypeScript

Terraform

SAP BTP (Kyma, CAP, HANA Cloud)

Joule Studio

CAP

Fiori

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.

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.

What You\'ll Bring

As a technical lead within the pod, you will be shaping patterns and standards, partnering closely with product and platform teams, and helping others learn how to work effectively with — and critically supervise — AI coding and brainstorming tools. This level suits people who like the messy middle.

• 6 - 9 years of end-to-end experience building agentic systems, production-grade RAG, and evaluation frameworks.
• You supervise Claude-style generators at the level of architecture, code, and ideas — spotting brittle abstractions or wrong design choices and explaining why.
• Stack-fluid, with strong SAP BTP exposure (Kyma, CAP, HANA Cloud, kernel services, CPI/destination services).
• Ontology or knowledge-graph experience is a plus.
• Learning agility (non-negotiable, and the most important value in this pod) — you rapidly pick up new models, frameworks, SAP technologies, ontologies, and industry processes. You enjoy updating your mental model as the landscape shifts, which it will, frequently.
• Bias for action — you move quickly from ambiguity to a working prototype and learn through execution.
• Critical thinking — you ask the right questions, so we stay focused on the objective instead of just managing the day.
• End-to-end ownership — you own the outcome from problem definition through build, deployment, and evaluation.

What You\'ll Build

We move across the prototype-to-production spectrum: we build fast, validate honestly, and partner with platform and product teams to scale what proves valuable. The stack varies — Python, TypeScript, Terraform, BTP, Joule Studio, CAP, Fiori, whatever the mission needs — but we care far more about your taste for good code, your ability to supervise Claude-style code generators and AI brainstormers, and your architectural judgment than about fluency in any single language. You\'ll use tools like Claude as accelerators, but you\'ll read what they produce, challenge their choices, and know when the AI is making the wrong call — both in code and in idea generation.

You\'ll own missions end-to-end: framing fuzzy problems, designing multi-agent workflows and ontology-grounded agents, and building the eval frameworks that prove when they outperform prompt/MCP-based approaches — or the memo that explains why an idea shouldn\'t ship. You\'ll design systems that other teams can adopt and extend.

Where you belong

You\'ll join Applied AI Builders, a small, hands-on pod that works closely with the CTO for Industry AI ENR. Our job is to take ambiguous problems, half-formed ideas, and evolving initiatives, and turn them into prototypes, proofs, and production-ready outcomes. Some weeks we’re embedded with a product team, partnering on a specific AI mission. Other weeks we’re stress-testing a raw idea to see whether it deserves to be built, adapted, or respectfully retired.

The pod’s missions sit at the frontier of AI-native engineering. One current mission: ontologies. We’re designing and evolving ontologies for our domains, building agents on top of them, and proving — with data — how ontology-grounded agents compare to raw prompt-and-MCP-based agents. We’re defining the evaluation methodology that makes that comparison honest. This is one mission of many; more will follow as we double-click into AI engineering.

#SAPIndustryAICareer

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: [e-mail].

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: 457561 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: