Forward Deployed Engineer Lead
Role Overview
Lead the Forward Deployed Engineer track as a player-coach combining business understanding, solution architecture, engineering leadership, and client delivery.
Help clients move from strategic business ambition to production-grade AI outcomes.
Set the technical standard, capability model, and hiring bar for a track planned to scale from 20 to more than 100 practitioners.
Key Skills for This Role
Full Job Posting
Role Overview
Lead the Forward Deployed Engineer track as a player-coach combining business understanding, solution architecture, engineering leadership, and client delivery.
Help clients move from strategic business ambition to production-grade AI outcomes.
Set the technical standard, capability model, and hiring bar for a track planned to scale from 20 to more than 100 practitioners.
Key Responsibilities
- Translate client priorities and transformation initiatives into practical, commercially viable, enterprise-scale AI solutions.
- Convert business cases and roadmaps into production-ready architectures and delivery plans.
- Own engineering standards covering architecture, testing, evaluation, production readiness, and operational support.
- Evolve AI-native practices including agent-assisted development, automated evaluation, reusable components, observability, and production operations.
- Define reference architectures and decision frameworks for Copilot Studio, Azure AI Foundry, the Avanade Agentic Platform, and Microsoft capabilities.
- Set hiring, assessment, capability-development, career-pathway, and enablement standards for the FDE track.
- Deploy on complex, strategic, at-risk, and reference-critical client mandates.
- Contribute reusable patterns, architectures, assets, and lessons to the platform, product portfolio, and delivery model.
Skills and Experience
- 8+ years in software or AI engineering with senior or lead accountability for production systems.
- Current hands-on agentic engineering experience covering orchestration, retrieval, tool use, evaluation, observability, and failure handling.
- Strong command of the Microsoft AI stack, with credible equivalent experience on another stack considered.
- Experience setting and enforcing engineering standards for a team.
- Experience assessing and hiring engineers at volume and pace.
- Client-facing credibility and experience delivering production solutions.
Ways of Working
- Operate as a player-coach, spending roughly half the time on client builds and half building the track.
- Deploy alongside clients and teams rather than directing work remotely from a studio.
- Help clients determine what should be built, then lead the journey to production.
- Work from a shared pool deployed across tracks, with allocation managed by the Studios Lead.
- Location is flexible across APAC, with regional travel based on demand.
Success Measures
Publish and apply the engineering standard and reference stack across builds within the first quarter.
Demonstrate productivity improvement through AI-native engineering practices and agent utilization.
Deliver production-grade outcomes on every engagement with a defined production path for prototypes.
Contribute reusable components per engagement and achieve measurable reuse across the track.
Retain Forward Deployed Engineer talent.
About Avanade
Provides Microsoft-focused IT consulting and digital transformation services.
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