Job Description
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Partner with clients and Avanade Next architects and leads to understand priorities and translate them into AI-enabled solutions
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Identify meaningful AI value, challenge assumptions, and shape commercially viable, technically feasible, enterprise-scale solutions
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Convert business cases and transformation roadmaps into production-ready architectures and delivery plans
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Own engineering standards for the Forward Deployed Engineer track, including architecture, engineering practices, testing, evaluation, production readiness and operational support
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Evolve AI-native engineering practices including agent-assisted development, automated evaluation, reusable components, observability and production operations
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Define reference architectures, solution patterns and decision frameworks across Microsoft AI capabilities
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Set hiring, assessment and capability-development standards for the FDE track
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Lead the FDE career pathway and re-skilling model
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Deploy personally on complex, strategic, at-risk or reference-critical mandates
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Collaborate with platform, IP, products, delivery, quality, value and trust leaders
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Contribute reusable patterns, architectures, engineering assets and delivery lessons to the Avanade Next platform and delivery model
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Requirements
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8+ years in software or AI engineering, with senior or lead accountability for systems that ran in production and were maintained afterwards
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Deep, current, hands-on agentic engineering: orchestration, retrieval, tool use, evaluation, observability and failure handling
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Robust command of the Microsoft AI stack; equivalent depth on another stack considered where the transfer is credible
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Experience setting and enforcing an engineering standard for a team
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Experience assessing and hiring engineers at volume and at pace, with a defensible bar
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Client-facing credibility and willingness to deploy directly with clients
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Comfortable building a capability where many practitioners arrive through internal transfer and require re-skilling
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Australian Citizens are preferred; Permanent Residents will also be considered
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Core Competencies
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Demonstrates expertise in AI Engineering and architecture, with a strong 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.
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Highest-signal resume keywords
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AI Engineering
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Microsoft AI Stack
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Engineering Standards
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Client-Facing Experience
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Talent Assessment and Hiring
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ATS Optimization Keywords
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Hard Skills
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Software Engineering
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Agentic Engineering
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Orchestration
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Tool Use
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Evaluation
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Observability
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Failure Handling
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Production Readiness
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Architecture Design
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Delivery Planning
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Soft Skills
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Client Collaboration
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Leadership
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Capability Development
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Communication
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Industry Keywords
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Enterprise-Scale Solutions
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Transformation Roadmaps
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Engineering Practices
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Reusable Components
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Operational Support
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Hiring Standards
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Re-Skilling Model
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📌 Lead Forward Deployed Engineer (New South Wales)
🏢 Jobtailor
📍 New South Wales