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.

• 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.

• 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

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.

• 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.

• 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.

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.

• 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.

• 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.

The Forward Deployed Engineer Lead Practitioner sets the standard for how Avanade Next turns business ambition into production reality. A player-coach responsible for the Forward Deployed Engineer track, this role combines business understanding, solution architecture and engineering leadership to help clients move from opportunity to deployed outcome. They work alongside executives, transformation leaders and domain specialists to understand strategic priorities, identify where AI can create measurable value, and translate those opportunities into production-grade solutions.

Beyond delivery, this role defines the AI-native engineering model for Avanade Next: small expert teams directing agent networks, accelerating delivery through reusable platforms and assets, and focusing engineering effort on solving business problems rather than writing code for its own sake. The role sets the technical standard, capability model and hiring bar for a track expected to scale from 20 engineers at launch to more than 100 practitioners over time.

• Partner with clients, Industry Reinvention Leads, Domain Architects, Value Architects and Trust Architects to understand business priorities, transformation initiatives and desired outcomes, and translate them into practical AI-enabled solutions.

• Help clients identify where AI can create meaningful value, challenge assumptions where necessary, and shape solution concepts that are commercially viable, technically feasible and capable of operating at enterprise scale.

• Bridge the gap between strategy and execution by converting business cases, reinvention opportunities and transformation roadmaps into production-ready solution architectures and delivery plans.

• Own the engineering standard for the FDE track, including solution architecture patterns, engineering practices, testing, evaluation, production readiness and operational support requirements.

• Define and continuously evolve AI-native engineering practices, including agent-assisted development, automated evaluation, reusable components, observability and production operations.

• Define reference architectures, solution patterns and decision frameworks that help teams determine the most appropriate combination of Copilot Studio, Azure AI Foundry, Avanade Agentic Platform and broader Microsoft capabilities for a given business problem.

• Set and maintain the hiring, assessment and capability-development standards for the FDE track, ensuring practitioners can operate effectively across business, architecture and engineering domains.

• Lead the development of the FDE career pathway and enablement model, including structured re-skilling of traditional delivery engineers into AI-native Forward Deployed Engineers.

• Deploy personally onto the most complex, strategic, at-risk or reference-critical mandates, helping clients translate ambitious transformation objectives into successful production outcomes.

• Work closely with the AAP Platform Lead, IP & Products Lead and Delivery & Quality Lead to ensure solutions are built on repeatable foundations, contribute reusable assets back into the platform and meet Avanade Next production standards.

• Partner with Value Architects to ensure solutions are linked to measurable business outcomes and with Trust Architects to ensure governance, risk, evaluation and adoption requirements are designed into solutions from the outset.

• Contribute reusable solution patterns, reference architectures, engineering assets and delivery lessons from every major engagement to strengthen the Avanade Next platform, product portfolio and delivery model.

• Engineering standard and reference stack published and applied across builds within the first quarter.

• Demonstrable productivity improvement across the FDE track through AI-native engineering practices and agent utilisation.

• Production-grade delivery on every engagement; no prototype accepted without a production path.

• Reusable components contributed per engagement, with measurable reuse across the track.

• Retention of FDE talent.