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AI Agent Engineer with Copilot Studio and Power Platform

Open 58d posting dated 2 weeks ago

Summary

Designs and builds AI agents and chatbots using Microsoft Copilot Studio and Power Platform to automate enterprise workflows in financial services, integrating with APIs and cloud services.

CAPCO POLAND

We offer a flexible collaboration model based on a B2B contract, with the opportunity to work on innovative AI and automation initiatives for leading financial institutions.

At Capco Poland, we're not just another consultancy – we're the spark behind digital transformation in the financial world. As a global leader in technology and management consulting, we help clients tackle complex challenges across banking, payments, capital markets, wealth, and asset management.

ENGAGEMENT OVERVIEW

We are seeking an experienced AI Agent Engineer (Power Platform & Copilot Studio) to join our growing team and support the development of AI-driven automation solutions across enterprise business processes.

This role requires strong hands-on experience with Microsoft Power Platform, particularly Copilot Studio, alongside a solid understanding of Generative AI concepts and conversational AI development.

The scope of services includes designing, developing, and deploying intelligent AI agents that improve operational efficiency, enhance user experiences, and drive business value.
Collaborating with business stakeholders, product owners, and technology teams, you will deliver scalable, secure, and high-quality AI solutions aligned with governance standards and best practices.

KEY RESPONSIBILITIES

AI Agent Development

  • Design, develop, and deploy AI agents and automation solutions to support business process optimization.

  • Build and maintain conversational AI solutions using Microsoft Copilot Studio and the wider Power Platform ecosystem.

  • Design effective conversational flows and user experiences.

  • Integrate AI solutions with enterprise applications, APIs, and business processes.

  • Implement monitoring, analytics, and continuous improvements to enhance solution performance and adoption.

Solution Delivery

  • Collaborate with business and technology stakeholders to gather requirements and define solution designs.

  • Translate business needs into scalable and maintainable AI-powered solutions.

  • Apply software development best practices, including documentation, testing, and code quality standards.

  • Support deployment, maintenance, and enhancement of existing solutions.

Governance & Innovation

  • Ensure compliance with security, privacy, and governance requirements.

  • Promote responsible AI practices, including transparency, explainability, and ethical AI principles.

  • Stay up to date with emerging AI technologies and recommend innovative approaches and tools.

  • Contribute to technical standards, best practices, and knowledge sharing across teams.

KEY REQUIREMENTS

Technical Skills

  • Proven experience developing and deploying AI agents, chatbots, virtual assistants, or conversational AI solutions.

  • Strong hands-on experience with Microsoft Copilot Studio and Microsoft Power Platform (Power Apps, Power Automate, Power BI).

  • Strong understanding of Generative AI concepts, including RAG (Retrieval-Augmented Generation), prompt engineering, and LLM-based solutions.

  • Experience integrating AI solutions with enterprise systems, APIs, and cloud services.

  • Familiarity with Microsoft Azure and related AI services.

  • Understanding of secure development practices, testing approaches, and performance monitoring.

  • Experience implementing analytics and monitoring for AI-driven solutions.

  • Knowledge of programming languages such as Python, C#, or JavaScript is an advantage.

  • Experience delivering solutions in Agile environments and using tools such as Jira or Azure DevOps.

Professional Skills

  • Proven experience in a similar AI Engineering, Automation, or Power Platform development role.

  • Strong problem-solving and analytical skills.

  • Ability to communicate complex technical concepts to both technical and non-technical audiences.

  • Excellent stakeholder management and collaboration skills.

  • Ability to work independently and manage multiple priorities in a fast-paced environment.

  • Strong written and verbal communication skills in English.

Nice to Have

  • Experience within banking, financial services, or regulated environments.

  • Knowledge of Responsible AI frameworks and governance practices.

  • Microsoft certifications related to Power Platform, Azure AI, or Copilot Studio.

RECRUITMENT PROCESS

  • HR Interview with Recruiter

  • Technical Interview with Hiring Manager

  • Client Interview

  • Feedback and Offer

At Capco, we are committed to fostering an inclusive and collaborative environment where everyone is encouraged to #BeYourselfAtWork.

#LI-HYBRID

What this application asks

greenhouse

First Name, Last Name, Email, Phone, Resume/CV

  • Preferred First Name optional
  • LinkedIn Profile optional
  • Website/Github profile optional
  • What is your current location? choose any
  • If "Other" please specify optional
  • LinkedIn Profile optional
  • What is Your notice period?
  • What is your rate expectation? (PLN net/h + VAT)
  • Were you referred to this role by a current Capco Poland Employee?
  • Capco employee email address optional
  • Reasonable Adjustments choose one
  • If you answered yes to the Reasonable Adjustments question, please provide additional details. If not, enter N/A.
  • Capco Job Candidate Privacy Notice Acknowledgement choose one
  • Capco Job Candidate Privacy Notice Acknowledgement choose one
  • Please describe your experience designing and developing AI agents, chatbots, or conversational AI solutions. Which platforms and technologies have you used, and what business problems did you solve? written answer · optional
  • What is your hands-on experience with Microsoft Power Platform and/or Microsoft Copilot Studio? Please describe the solutions you have built and your level of involvement in their design, development, and deployment. written answer · optional
  • How have you applied Generative AI concepts such as prompt engineering, Retrieval-Augmented Generation (RAG), or Large Language Models (LLMs) in your projects? Please provide a specific example. written answer · optional
  • Describe a solution where you integrated AI or automation capabilities with enterprise systems, APIs, or cloud services. What challenges did you face, and how did you address them? written answer · optional
  • Have you got any banking/fintech experience or previous exposue to large scale regulate environments? optional

See also