Forward Deployed Engineer (Applied AI Engineer)

SUMMARY

KEY RESPONSIBILITIES

• Client Partnership & Problem Framing
• Work with clients, Industry Leads, Domain Leads, Value Architects and Trust Architects to understand business priorities.
• Shape solutions that are commercially viable, technically feasible and production-ready.
• Operate with autonomy in ambiguous client environments.
• Build & Deployment
• Build and deploy agentic AI systems end-to-end.
• In Consulting, build prototypes that prove strategy is real.
• In Studios, take use cases from prototype to production-grade systems.
• In Products, configure and deploy pre-built products into client environments.
• Technology & AI-Native Practice
• Design on the Avanade Agentic Platform and Microsoft AI stack.
• Apply agent-assisted development, automated evaluation, observability and production operations.
• Work with Trust Architects so evaluation, accuracy and guardrails are built in.
• Reuse & Contribution
• Contribute reusable components, patterns and assets from every engagement.
• Work with Value Architects to keep delivery tied to measurable outcomes.
• Carry context across phases so learning compounds.
• KEY MEASURES
• Client outcomes achieved through production deployments, evidenced by business value realised and client referenceability
• Production-grade delivery on every engagement; no prototype handed over without a production path.
• Demonstrable productivity through AI-native engineering practices and agent utilisation.
• Reusable assets contributed to the library from every engagement.
• Accuracy and evaluation thresholds met before release.
• SKILLS AND EXPERIENCE
• 5+ years in software or AI engineering, with production systems to point to.
• Strong practical command of Azure AI Foundry, Copilot Studio, Azure OpenAI and agent orchestration; equivalent depth on another stack considered if the transfer is credible.
• Full-stack capability — front end, APIs, data and agent orchestration — enough to ship something whole.
• Experience building and evaluating agentic systems, including retrieval, tool use, and failure handling.
• Comfortable being deployed into a client environment with high autonomy and direct exposure to stakeholders.
• Track record of turning a prototype into production at pace, without leaving the mess for someone else.
• Able to hold a business conversation as well as a technical one — comfortable in front of client stakeholders without an intermediary.
• Work Rights: Australian Citizens are preferred; however, Permanent Residents will also be considered.

Qualifications

• 5+ years in software or AI engineering, with production systems to point to.
• Strong practical command of Azure AI Foundry, Copilot Studio, Azure OpenAI and agent orchestration; equivalent depth on another stack considered if the transfer is credible.
• Full-stack capability — front end, APIs, data and agent orchestration — enough to ship something whole.
• Experience building and evaluating agentic systems, including retrieval, tool use, and failure handling.
• Comfortable being deployed into a client environment with high autonomy and direct exposure to stakeholders.
• Track record of turning a prototype into production at pace, without leaving the mess for someone else.
• Able to hold a business conversation as well as a technical one — comfortable in front of client stakeholders without an intermediary.
• Work Rights: Australian Citizens are preferred; however, Permanent Residents will also be considered.
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