- 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




- Solid 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 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.

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