Partner with clients and Avanade Next architects and leads to understand priorities and translate them into AI-enabled solutions
Identify meaningful AI value, challenge assumptions, and shape commercially viable, technically feasible, enterprise-scale solutions
Convert business cases and transformation roadmaps into production-ready architectures and delivery plans
Own engineering standards for the Forward Deployed Engineer track, including architecture, engineering practices, testing, evaluation, production readiness and operational support
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 across Microsoft AI capabilities
Set hiring, assessment and capability-development standards for the FDE track
Lead the FDE career pathway and re-skilling model
Deploy personally on complex, strategic, at-risk or reference-critical mandates
Collaborate with platform, IP, products, delivery, quality, value and trust leaders
Contribute reusable patterns, architectures, engineering assets and delivery lessons to the Avanade Next platform and delivery model
Requirements
8+ years in software or AI engineering, with senior or lead accountability for systems that ran in production and were maintained afterwards
Deep, current, hands-on agentic engineering: orchestration, retrieval, tool use, evaluation, observability and failure handling




Strong command of the Microsoft AI stack; equivalent depth on another stack considered where the transfer is credible
Experience setting and enforcing an engineering standard for a team
Experience assessing and hiring engineers at volume and at pace, with a defensible bar
Client-facing credibility and willingness to deploy directly with clients
Comfortable building a capability where many practitioners arrive through internal transfer and require re-skilling
Australian Citizens are preferred; Permanent Residents will also be considered
Core Competencies
Demonstrates expertise in AI Engineering and architecture, with a robust 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 keywords
AI Engineering
Microsoft AI Stack
Engineering Standards
Client-Facing Experience
Talent Assessment and Hiring
ATS Optimization Keywords
Hard Skills
Software Engineering
Agentic Engineering
Orchestration
Tool Use
Evaluation
Observability
Failure Handling
Production Readiness
Architecture Design
Delivery Planning
Soft Skills
Client Collaboration
Leadership
Capability Development
Communication
Industry Keywords
Enterprise-Scale Solutions
Transformation Roadmaps
Engineering Practices
Reusable Components
Operational Support
Hiring Standards
Re-Skilling Model
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📌 Lead Forward Deployed Engineer (New South Wales)
🏢 Jobtailor
📍 New South Wales