Development Architect

SAP ASIA PTE. LTD.; Singapore; Presencial; SGD 180.000 - 280.000; Jornada completa

Descripción de la vacante

SAP Asia Pte. Ltd. is building Applied AI Builders, a hands-on pod that partners with the CTO for Industry AI ENR to turn ambiguous problems into prototype-to-production outcomes.

The team embeds with product groups or stress-tests raw ideas to validate worthiness and value. You will mentor builders, design AI-native architectures, supervise Claude-style generators, and establish evaluation strategies with governance and security in mind, influencing the org without moving into full-time

Formación

• Deep experience architecting AI-native systems and running them on SAP BTP.
• Ability to supervise Claude-style code generators and AI brainstormers.
• Governance, security, and privacy considerations built in from the start.

Responsabilidades

• Architect AI-native systems and guardrails for scale on SAP BTP.
• Supervise Claude-style generators for code and ideas.
• Define evaluation strategies for ontology-driven agents and compare to prompt-based systems.
• Mentor other builders and influence technical direction across the pod.

Conocimientos

AI architecture

Python

TypeScript

Terraform

Claude supervision

Team collaboration

SAP BTP

Ontologies

Educación

Bachelor's degree

Herramientas

Claude

Joule Studio

CAP

Fiori

Terraform

BTP

Descripción del empleo

What you'll bring

You'll joinApplied AI Builders, a small, hands-on pod that works closely with theCTO 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. If you need stable, well-defined requirements before you can start, this pod will be uncomfortable. If ambiguity feels like oxygen and you'd rather supervise an AI than trust it, keep reading.

Four values show up at every level of this team:

• 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.

Deep experience architecting AI-native systems (LLMs, advanced RAG, multi-agent, ontology-grounded agents) and running them on SAP BTP at scale. Strong on eval strategy, benchmarking, and guardrails. Adept at supervising Claude-style generators for architecture, code, and ideas - you set the tone for what good design means on a team that codes and thinks with AI every day. Governance, security, and privacy are things you factor in from the start.

What you'll build

• 12+ years of experience inprototype-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 yourtaste 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'llreadwhat they produce, challenge their choices, and know when the AI is making the wrong call - both in code and in idea generation.
• You will build and own the architectures, guardrails, and evaluation strategies for our most important missions - including ontology-driven agents and their comparison to prompt-based systems. You'll decide, with evidence, which initiatives to scale, adapt, hand back to product teams for adoption, or retire with a well-argued rationale.

Where you belong

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. You will be the technical anchor for Applied AI Builders - mentoring other builders in the pod, partnering with the CTO for Industry AI ENR on hard investment calls, and setting the bar for what good AI-native engineering looks like in our org. A good seat for a strong individual contributor who wants broader technical influence without moving into full-time management.