IT Solution Expert-Data Ontology Engineer (AI Capability)

Siemens España; Bengaluru; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Siemens Technology and Services Private Limited in India seeks an IT Solution Expert-Data Ontology Engineer (AI Capability) with hands-on, AI-first approach to own the ontology, taxonomy, metadata model and canonical graph schema across domains, starting with SAP today and expanding later.

You will derive schema from the data domain, build AI tooling to generate and validate it, and decide how to load into Neo4j, while defining data-governance principles and SDLC traceability.

Qualifications

• 8+ years of relevant hands-on experience — a super-senior engineer who can steer this topic in the right direction.
• Proven ontology / semantic / information / metadata modelling — canonical entities and relationships, taxonomies, governance.
• Subject-matter depth in SAP (ECC & S/4HANA) is important, as SAP is the primary domain today.
• Senior, hands-on, self-driven individual contributor who implements and validates — not a design-and-handover profile.
• Nice to have Neo4j / graph concepts & Cypher, and data catalogue / governance tooling (Collibra); process/architecture tooling (Signavio/BPMN, LeanIX).
• How we work: AI-first, hands-on, outcome-oriented; problem-first and pragmatic.

Responsibilities

• Own the target ontology, taxonomy, metadata model and canonical graph schema — system-independent and reusable across domains.
• Derive the schema from the data domain: build AI tooling to generate and validate it.
• Provide the canonical schema the pipeline team loads against; decide what is loaded into Neo4j versus kept in the source, and how it is loaded and retrieved at the model level.
• Define provenance, ownership, validity, versioning, classification and access-control principles (data-governance / catalogue thinking).
• Model SDLC traceability for the current domain: requirement → fit-to-standard/gap → design → build → test → deploy → operate → support, mapping source objects and processes into the model.
• Deep-dive into unclear business or process demands, challenge assumptions, and validate models with real data and prototypes.

Skills

Ontology engineering

AI-first mindset

Semantic modelling

Data governance

Neo4j

Cypher

SAP ECC/S4HANA

Self-driven IC

Collibra

Signavio/BPMN

Tools

Neo4j

Collibra

Signavio

LeanIX

Job description

IT Solution Expert-Data Ontology Engineer (AI Capability)

Information Technology

Information Technology

Siemens Technology and Services Private Limited

Mid-level Professional

We empower our people to stay resilient and relevant in a constantly changing world. We’re looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact, now and in the future. Does that sound like you? Then it seems like you’d make a great addition to our vibrant international team.

We are looking for:Lead Ontology Engineer

You own the meaning and structure of our Knowledge Base: the ontology, taxonomy, metadata model and canonical graph schema. The ontology is deliberately system-independent — today the primary domain is SAP; tomorrow it may be Salesforce or another source — so you model concepts, not one system. You are hands-on and AI-first: you do not handcraft the ontology, you build AI processes and tools that derive the schema from the data domain and let you evaluate that it is correct. You set the schema the pipeline team loads against, and you own graph load/retrieve questions at the model level.

You’ll make an impact by:

• Own the target ontology, taxonomy, metadata model and canonical graph schema — system-independent, reusable across domains.
• Derive the schema from the data domain: build AI tooling to generate and validate it rather than hand-modelling everything and evaluate that the result is correct.
• Provide the canonical schema the pipeline team loads against; decide what is loaded into Neo4j versus kept in the source, how it is linked, and how it is loaded and retrieved at the model level.
• Define provenance, ownership, validity, versioning, classification and access-control principles (data-governance / catalogue thinking).
• Model SDLC traceability for the current domain: requirement → fit-to-standard/gap → design → build → test → deploy → operate → support, and map source objects and processes into the model.
• Deep-dive into unclear business or process demands, challenge assumptions, and validate models with real data and prototypes.

You’re excited to build on your existing expertise, including

• AI-first mindset : you build the ontology and its tooling with AI and evaluate correctness rather than handcrafting everything.
• 8+ years of relevant hands-on experience — a super-senior engineer who can steer this topic in the right direction (depth and delivery matter more than years in any single tool).
• Proven ontology / semantic / information / metadata modelling — canonical entities and relationships, taxonomies, controlled vocabularies, governance — and the ability to derive a model from a messy data domain.
• Subject-matter depth in our current domain: strong SAP (ECC & S/4HANA — objects, customizing, processes, transports) is important, as SAP is our primary domain today.
• Senior, hands-on, self-driven individual contributor who implements and validates — not a design-and-handover profile
• Nice to have
  • Neo4j / graph concepts & Cypher (load and retrieve) — a plus and learnable; curiosity plus an AI mindset beats deep-but-AI-averse.
  • Data catalogue / governance tooling (e.g. Collibra); process and architecture tooling (Signavio/BPMN, LeanIX); application inventories.
• How we work
  • AI-first, hands-on, outcome-oriented. We implement — no PowerPoint-only architects. Problem-first and pragmatic: we challenge vague requirements and unnecessary complexity, then build a workable alternative.

Create a better #TomorrowWithUs!

This role is based in Pune/Bangalore, where you’ll get the chance to work with teams impacting entire cities, countries - and the shape of things to come.

We value your unique identity and perspective and are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society. Come bring your authentic self and create a better tomorrow with us.

We’re Siemens. A collection of over 300,000 minds building the future, one day at a time in over 200 countries. We’re dedicated to equality, and we encourage applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and creativity and help us shape tomorrow.