Client-Embedded AI Engineer: From Prototype to Production

Avanade

Jakarta Pusat

On-site

IDR 600,000,000 - 1,200,000,000

Full time

14 days+

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Job summary

Avanade seeks Forward Deployed Engineers to embed within client teams from week one, turning business ambition into production AI solutions. You will design, build and deploy agentic systems, guiding prototypes to production-grade deployments across Consulting, Studios and Products.

The role requires autonomy, strong client engagement, and a track record of delivering business value through AI at enterprise scale.

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.

Responsibilities

Work with clients and architects to understand business priorities and translate them into practical AI-enabled solutions.
Build and deploy agentic AI systems end-to-end, embedded with the client and shipping from the first weeks of an engagement.
Help clients identify where AI can create meaningful value, challenge assumptions where necessary, and shape solutions that are commercially viable and technically feasible at enterprise scale.
In Consulting: build the working prototype that proves the strategy is real rather than theoretical.
In Studios: take use cases from prototype to production-grade agentic systems with the engineering rigour that implies.
In Products: configure and deploy pre-built agentic products into client environments.
Design on the Avanade Agentic Platform and the Microsoft AI stack, choosing the right combination of Copilot Studio, Azure AI Foundry and AAP for the business problem.
Apply AI-native engineering practices — agent-assisted development, automated evaluation, reusable components, observability and production operations.
Work with Trust Architects on evaluation, accuracy and guardrails as part of the build, not as a later gate.
Work with Value Architects so what is built stays connected to the measurable outcome it was funded for.
Contribute reusable components, patterns and assets to the APAC IP library and the Avanade Agentic Platform on every engagement.
Operate with high autonomy in the client's environment, including in the ambiguity of early-stage discovery.