Job Description

n
- Partner with clients and Avanade Next architects and leads to understand priorities and translate them into AI-enabled solutions
n
- Identify meaningful AI value, challenge assumptions, and shape commercially viable, technically feasible, enterprise-scale solutions
n
- Convert business cases and transformation roadmaps into production-ready architectures and delivery plans
n
- Own engineering standards for the Forward Deployed Engineer track, including architecture, engineering practices, testing, evaluation, production readiness and operational support
n
- Evolve AI-native engineering practices including agent-assisted development, automated evaluation, reusable components, observability and production operations
n
- Define reference architectures, solution patterns and decision frameworks across Microsoft AI capabilities
n
- Set hiring, assessment and capability-development standards for the FDE track
n
- Lead the FDE career pathway and re-skilling model
n
- Deploy personally on complex, strategic, at-risk or reference-critical mandates
n
- Collaborate with platform, IP, products, delivery, quality, value and trust leaders
n
- Contribute reusable patterns, architectures, engineering assets and delivery lessons to the Avanade Next platform and delivery model
n

n

Requirements

n

n
- 8+ years in software or AI engineering, with senior or lead accountability for systems that ran in production and were maintained afterwards
n
- Deep, current, hands-on agentic engineering: orchestration, retrieval, tool use, evaluation, observability and failure handling
n




- Solid command of the Microsoft AI stack; equivalent depth on another stack considered where the transfer is credible
n
- Experience setting and enforcing an engineering standard for a team
n
- Experience assessing and hiring engineers at volume and at pace, with a defensible bar
n
- Client-facing credibility and willingness to deploy directly with clients
n
- Comfortable building a capability where many practitioners arrive through internal transfer and require re-skilling
n
- Australian Citizens are preferred; Permanent Residents will also be considered
n

n

Core Competencies

n

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.

n

Highest-signal resume keywords

n

n
- AI Engineering
n
- Microsoft AI Stack
n
- Engineering Standards
n
- Client-Facing Experience
n
- Talent Assessment and Hiring
n

n

ATS Optimization Keywords

n

Hard Skills

n

n
- Software Engineering
n
- Agentic Engineering
n
- Orchestration
n
- Tool Use
n
- Evaluation
n
- Observability
n
- Failure Handling
n
- Production Readiness
n
- Architecture Design
n
- Delivery Planning
n

n

Soft Skills

n

n
- Client Collaboration
n
- Leadership
n
- Capability Development
n
- Communication
n

n

Industry Keywords

n

n
- Enterprise-Scale Solutions
n
- Transformation Roadmaps
n
- Engineering Practices
n
- Reusable Components
n
- Operational Support
n
- Hiring Standards
n
- Re-Skilling Model
n

📌 Lead Forward Deployed Engineer (New South Wales)
🏢 Jobtailor
📍 New South Wales