Partner with clients and Avanade Next architects and leads to understand priorities and translate them into AI-enabled solutionsIdentify meaningful AI value, challenge assumptions, and shape commercially viable, technically feasible, enterprise-scale solutionsConvert business cases and transformation roadmaps into production-ready architectures and delivery plansOwn engineering standards for the Forward Deployed Engineer track, including architecture, engineering practices, testing, evaluation, production readiness and operational supportEvolve AI-native engineering practices including agent-assisted development, automated evaluation, reusable components, observability and production operationsDefine reference architectures, solution patterns and decision frameworks across Microsoft AI capabilitiesSet hiring, assessment and capability-development standards for the FDE trackLead the FDE career pathway and re-skilling modelDeploy personally on complex, strategic, at-risk or reference-critical mandatesCollaborate with platform, IP, products, delivery, quality, value and trust leadersContribute reusable patterns, architectures, engineering assets and delivery lessons to the Avanade Next platform and delivery modelRequirements8+ years in software or AI engineering, with senior or lead accountability for systems that ran in production and were maintained afterwardsDeep, current, hands-on agentic engineering: orchestration, retrieval, tool use, evaluation,



observability and failure handlingStrong command of the Microsoft AI stack; equivalent depth on another stack considered where the transfer is credibleExperience setting and enforcing an engineering standard for a teamExperience assessing and hiring engineers at volume and at pace, with a defensible barClient-facing credibility and willingness to deploy directly with clientsComfortable building a capability where many practitioners arrive through internal transfer and require re-skillingAustralian Citizens are preferred; Permanent Residents will also be consideredCore CompetenciesDemonstrates expertise in AI Engineering and architecture, with a solid command of the Microsoft AI stack and experience in developing production-ready solutions.
Proven ability to lead engineering standards, assess and hire talent, and collaborate effectively with clients and cross-functional teams.Highest-signal resume keywordsAI EngineeringMicrosoft AI StackEngineering StandardsClient-Facing ExperienceTalent Assessment and HiringATS Optimization KeywordsHard SkillsSoftware EngineeringAgentic EngineeringOrchestrationTool UseEvaluationObservabilityFailure HandlingProduction ReadinessArchitecture DesignDelivery PlanningSoft SkillsClient CollaborationLeadershipCapability DevelopmentCommunicationIndustry KeywordsEnterprise-Scale SolutionsTransformation RoadmapsEngineering PracticesReusable ComponentsOperational SupportHiring StandardsRe-Skilling Model
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📌 Lead Forward Deployed Engineer (Sydney)
🏢 Jobtailor
📍 Sydney