Power Platform Engineer

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Avenga

5001 - 10000 employees

💼 Consulting

🏭 Manufacturing

🏥 Healthcare

💰 Private equity on 2017-02

Consulting • Manufacturing • Healthcare

Avenga is an international technology and software engineering company that combines consulting, product development, and digital transformation services to help enterprises solve complex business and societal challenges. With over 6,000 professionals across multiple countries and decades of experience, Avenga delivers custom software, cloud, and integration solutions while supporting clients across industries and providing talent acquisition and career development services internally.

📋 Description

• Design, build, and test automation workflows and AI agents against approved functional specifications and acceptance criteria • Develop low-code solutions using Microsoft Power Platform and Copilot Studio, alongside traditional automation development where required • Configure and tune AI agent behaviour, prompts, and orchestration logic for use cases such as invoice reconciliation and prioritised opportunities • Work with the Data Engineer and Solution Architect to ensure robust data flows, integrations, and exception handling before release • Support unit and integration testing ahead of formal QA sign-off • Package solutions for release and support transition into the Monitoring stage, including handover documentation • Feed build effort and defect data back into the COE methodology's Automation Assessment and Time and Capacity components • Deliver enterprise AI and automation solutions that transform business processes across the organization

🎯 Requirements

• Working experience across automation platforms, low-code tooling, and AI or agentic configuration • Familiarity with Microsoft Power Platform and Copilot Studio • Hands-on experience with Microsoft Power Platform and Copilot Studio, or equivalent enterprise low-code and agentic platforms • Knowledge of prompt design, agent orchestration, and AI governance guardrails within an enterprise environment • Strong debugging and testing discipline • Comfortable working to defined acceptance criteria and QA gates • Experience delivering within a pod-based or squad-based delivery model with concurrent use cases in flight • Ability to produce clear technical handover documentation for downstream support and monitoring teams

🏖️ Benefits

• Equal opportunities in recruitment, career development, and leadership • Diverse and inclusive work environment • Opportunity to join a newly established AI Factory • 5-month engagement with a strong possibility of extension • Talent team support and career development discussion • Technical and customer interview process • Long-term enterprise transformation program

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