Hear from our people
Other roles that might interest you
Data Analytics & AI AV
Austria
Wir suchen nicht nach einem AI Lead.
Wir suchen die Person, die das führende AI-Team Österreichs aufbaut.
Künstliche Intelligenz verändert gerade jede Branche, jedes Unternehmen und jede Rolle.
Die Frage ist nicht mehr, ob AI kommt.
Die Frage ist, wer die Zukunft gestaltet.
Genau dafür suchen wir dich.
Nicht als Teamleiter:in. Nicht als Projektmanager:in. Nicht als Verwalter:in.
Sondern als Unternehmer:in im Unternehmen.
Jemanden, der Menschen begeistert. Kunden inspiriert. Geschäft aufbaut. Talente anzieht. Und gemeinsam mit uns die AI-Erfolgsgeschichte von Avanade Österreich schreibt.
Was du bei uns bauen kannst
Du übernimmst nicht einfach ein Team.
Du gestaltest eine Bewegung.
Gemeinsam mit unseren Kunden, Microsoft, Accenture und internationalen AI-Expert:innen entwickelst du die nächste Generation von AI-Lösungen.
Dabei wirst du:
- Österreichs AI-Wachstum mitgestalten
- ein High-Performance-Team aufbauen
- Agentic AI, Copilots und moderne AI-Plattformen zum Einsatz bringen
- Kund:innen auf ihrer AI-Transformation begleiten
- Thought Leader am Markt werden
- unsere AI-Community prägen
auf Bühnen stehen und die AI-Diskussion in Österreich mitgestalten
Advisory & Strategy AV
Malaysia
SUMMARY
Forward Deployed Engineers are the engineering core of Avanade Next. They sit inside the client from week one and turn business ambition into production reality — proving the direction in Consulting with a working prototype, leading the build in Studios, and configuring products for client environments. They work alongside business stakeholders, Industry Reinvention Leads, Domain Architects, Value Architects and Trust Architects to understand what matters commercially, then build the system that delivers it.
This is not a order-taking role. Forward Deployed Engineers help clients decide what should be built, challenge assumptions where the value is not there, and lead the work through to live deployment. They work in small expert teams directing agent networks rather than large delivery pyramids, and they carry accountability from the first brief through to production — which is unusual, and is the point.
KEY RESPONSIBILITIES
Work with clients, Industry Reinvention Leads, Domain Architects, Value Architects and Trust Architects to understand business priorities and translate them into practical AI-enabled solutions.
Build and deploy agentic AI systems end-to-end, embedded with the client and shipping from the first weeks of an engagement.
Help clients identify where AI can create meaningful value, challenge assumptions where necessary, and shape solutions that are commercially viable and technically feasible at enterprise scale.
In Consulting: build the working prototype that proves the strategy is real rather than theoretical.
In Studios: take use cases from prototype to production-grade agentic systems with the engineering rigour that implies.
In Products: configure and deploy pre-built agentic products into client environments.
Design on the Avanade Agentic Platform and the Microsoft AI stack, choosing the right combination of Copilot Studio, Azure AI Foundry and AAP for the business problem.
Apply AI-native engineering practices — agent-assisted development, automated evaluation, reusable components, observability and production operations.
Work with Trust Architects on evaluation, accuracy and guardrails as part of the build, not as a later gate.
Work with Value Architects so what is built stays connected to the measurable outcome it was funded for.
Contribute reusable components, patterns and assets to the APAC IP library and the Avanade Agentic Platform on every engagement.
Operate with high autonomy in the client's environment, including in the ambiguity of early-stage discovery.
KEY MEASURES
Client outcomes achieved through production deployments, evidenced by business value realised and client referenceability
Production-grade delivery on every engagement; no prototype handed over without a production path.
Demonstrable productivity through AI-native engineering practices and agent utilisation.
Reusable assets contributed to the library from every engagement.
Accuracy and evaluation thresholds met before release
Advisory & Strategy AV
Indonesia
SUMMARY
Forward Deployed Engineers are the engineering core of Avanade Next. They sit inside the client from week one and turn business ambition into production reality — proving the direction in Consulting with a working prototype, leading the build in Studios, and configuring products for client environments. They work alongside business stakeholders, Industry Reinvention Leads, Domain Architects, Value Architects and Trust Architects to understand what matters commercially, then build the system that delivers it.
This is not a order-taking role. Forward Deployed Engineers help clients decide what should be built, challenge assumptions where the value is not there, and lead the work through to live deployment. They work in small expert teams directing agent networks rather than large delivery pyramids, and they carry accountability from the first brief through to production — which is unusual, and is the point.
KEY RESPONSIBILITIES
Work with clients, Industry Reinvention Leads, Domain Architects, Value Architects and Trust Architects to understand business priorities and translate them into practical AI-enabled solutions.
Build and deploy agentic AI systems end-to-end, embedded with the client and shipping from the first weeks of an engagement.
Help clients identify where AI can create meaningful value, challenge assumptions where necessary, and shape solutions that are commercially viable and technically feasible at enterprise scale.
In Consulting: build the working prototype that proves the strategy is real rather than theoretical.
In Studios: take use cases from prototype to production-grade agentic systems with the engineering rigour that implies.
In Products: configure and deploy pre-built agentic products into client environments.
Design on the Avanade Agentic Platform and the Microsoft AI stack, choosing the right combination of Copilot Studio, Azure AI Foundry and AAP for the business problem.
Apply AI-native engineering practices — agent-assisted development, automated evaluation, reusable components, observability and production operations.
Work with Trust Architects on evaluation, accuracy and guardrails as part of the build, not as a later gate.
Work with Value Architects so what is built stays connected to the measurable outcome it was funded for.
Contribute reusable components, patterns and assets to the APAC IP library and the Avanade Agentic Platform on every engagement.
Operate with high autonomy in the client's environment, including in the ambiguity of early-stage discovery.
KEY MEASURES
Client outcomes achieved through production deployments, evidenced by business value realised and client referenceability
Production-grade delivery on every engagement; no prototype handed over without a production path.
Demonstrable productivity through AI-native engineering practices and agent utilisation.
Reusable assets contributed to the library from every engagement.
Accuracy and evaluation thresholds met before release.
Advisory & Strategy AV
Singapore
Summary
Forward Deployed Engineers are the engineering core of Avanade Next. They sit inside the client from week one and turn business ambition into production reality — proving the direction in Consulting with a working prototype, leading the build in Studios, and configuring products for client environments. They work alongside business stakeholders, Industry Reinvention Leads, Domain Architects, Value Architects and Trust Architects to understand what matters commercially, then build the system that delivers it.
This is not a order-taking role. Forward Deployed Engineers help clients decide what should be built, challenge assumptions where the value is not there, and lead the work through to live deployment. They work in small expert teams directing agent networks rather than large delivery pyramids, and they carry accountability from the first brief through to production — which is unusual, and is the point.
KEY RESPONSIBILITIES
Work with clients, Industry Reinvention Leads, Domain Architects, Value Architects and Trust Architects to understand business priorities and translate them into practical AI-enabled solutions.
Build and deploy agentic AI systems end-to-end, embedded with the client and shipping from the first weeks of an engagement.
Help clients identify where AI can create meaningful value, challenge assumptions where necessary, and shape solutions that are commercially viable and technically feasible at enterprise scale.
In Consulting: build the working prototype that proves the strategy is real rather than theoretical.
In Studios: take use cases from prototype to production-grade agentic systems with the engineering rigour that implies.
In Products: configure and deploy pre-built agentic products into client environments.
Design on the Avanade Agentic Platform and the Microsoft AI stack, choosing the right combination of Copilot Studio, Azure AI Foundry and AAP for the business problem.
Apply AI-native engineering practices — agent-assisted development, automated evaluation, reusable components, observability and production operations.
Work with Trust Architects on evaluation, accuracy and guardrails as part of the build, not as a later gate.
Work with Value Architects so what is built stays connected to the measurable outcome it was funded for.
Contribute reusable components, patterns and assets to the APAC IP library and the Avanade Agentic Platform on every engagement.
Operate with high autonomy in the client's environment, including in the ambiguity of early-stage discovery.
KEY MEASURES
Client outcomes achieved through production deployments, evidenced by business value realised and client referenceability
Production-grade delivery on every engagement; no prototype handed over without a production path.
Demonstrable productivity through AI-native engineering practices and agent utilisation.
Reusable assets contributed to the library from every engagement.
Accuracy and evaluation thresholds met before release.