Senior Microsoft AI Engineer - Copilot, Foundry & Power Automate

• →Build and maintain AI assistants and agents using Microsoft Copilot Studio and Microsoft Foundry.
• →Identify practical opportunities for Microsoft 365 Copilot and help teams use it effectively.
• →Connect AI solutions to relevant business knowledge and systems while respecting permissions and data boundaries.
• →Develop Power Automate workflows with reliable validation, exception handling, monitoring, and recovery.
• →Integrate Microsoft 365, Teams, SharePoint, Dataverse, Microsoft Graph, external APIs, and other business systems.
• →Implement custom connectors or supporting code where the project requires them.
• →Evaluate AI output quality, grounding, failure behavior, latency, and operating costs.
• →Establish appropriate human review and approval steps for consequential automated actions.
• →Independently administer our Microsoft 365, Azure, and Power Platform environments, including users, groups, roles, application registrations, permissions, and service connections.
• →Configure and manage GitHub-connected Power Platform solutions, including repositories, authentication, source control, branching, reviews, and deployment workflows.
• →Manage the solution lifecycle across development, testing, and production, including solution dependencies, environment variables, connection references, release verification, and recovery procedures.
• →Maintain secure application identities, credentials, and access configurations with clear ownership and appropriate permissions.
• →Monitor platform health, investigate failures, maintain operational documentation, and control licensing and cloud expenditure.
• →Translate business requirements into clear tasks, delivery milestones, and verifiable acceptance criteria.
• →Manage project scope, priorities, dependencies, risks, and stakeholder communication.
• →Coordinate outsourced developers, review their deliverables, and maintain clear ownership.
• →Mentor colleagues through practical demonstrations, reviews, and knowledge transfer.
• →Keep solutions maintainable and proportionate to the problem and startup budget.

• →A fully remote role with a long-term perspective.
• →Ownership across AI implementation, automation, and project delivery.
• →The opportunity to mentor colleagues and build a distributed team.
• →Close collaboration with startup leadership.
• →Varied projects with practical business impact.
• →Significant potential for career and compensation growth as the company develops.

Remote Working Arrangement
Our remote working setup includes a time-tracking tool that records mouse-click and keyboard-activity metrics and captures screenshots. This working arrangement will be explained during recruitment.

Applicants should be comfortable working with this setup.

How to Apply
We are looking to fill this core role promptly and will review applications as they arrive. Applying early provides an opportunity to discuss how you could help shape our AI and automation work.

Please submit your CV and a short overview of:

• →A Copilot Studio or Microsoft Foundry solution you delivered, your contribution, and how you verified its results.
• →A Power Automate workflow you implemented and how you handled failures.
• →A Microsoft environment you administered and GitHub-connected solutions you managed.
• →A project you managed or a team you led or mentored.
• →Your experience coordinating outsourced contributors.
• →Your earliest start date and salary expectations, taking our startup stage into account.

Public links and anonymized examples are welcome. Please do not share confidential information or credentials.

• Demonstrated experience delivering production solutions using Copilot Studio, Microsoft Foundry, and Power Automate.
• Practical understanding of Microsoft 365 Copilot and its use in business workflows.
• Experience building AI agents or assistants connected to business data, tools, and APIs.
• Experience evaluating AI-generated answers and actions, including handling unreliable or unsupported output.
• Strong knowledge of Power Automate cloud flows, connectors, expressions, approvals, and troubleshooting.
• Experience integrating SharePoint, Teams, Dataverse, Microsoft Graph, or comparable business platforms.
• Working knowledge of Microsoft Entra ID, application permissions, authentication, and secure credential handling.
• Ability to write and review supporting code or scripts, for example in Python, JavaScript, TypeScript, or PowerShell.
• Proven experience independently administering a company's Microsoft environment, with responsibility for reliable operation and ongoing improvement.
• Hands-on experience configuring and managing Power Platform solutions connected to GitHub.
• Practical experience with GitHub Actions or comparable CI/CD workflows for Microsoft solutions.
• Strong understanding of environment separation, managed and unmanaged solutions, dependencies, connection references, and environment-specific configuration.
• Previous responsibility for technical project delivery, including planning and stakeholder communication.
• Proven experience leading developers, mentoring colleagues, or coordinating distributed contributors.
• The ability to take ownership of technical problems, communicate their business impact, and carry improvements through to a verified result.
• Ability to work independently, explain technical decisions clearly, and prioritize within a limited startup budget.

• Delivering Microsoft AI or automation projects in a startup or consulting environment.
• Building retrieval workflows with documented knowledge sources and permission-aware access.
• Working with Power Apps, Azure services, SQL databases, or Azure DevOps.
• Experience with Azure API Management and its AI gateway capabilities, including authentication, model routing, usage limits, monitoring, and cost control.
• Experience with related components such as Azure Key Vault, Azure Monitor, Application Insights, and Azure AI Search.
• Experience building and maintaining Power BI reports and dashboards, including Power Query, data modelling, DAX, scheduled refresh, workspace permissions, and row-level security.
• Experience connecting reporting and analytics to operational workflows and business decisions.
• Replacing fragile workflows with solutions that are easier to operate and maintain.
• Coordinating outsourced implementation while retaining internal technical ownership.
• Using AI development tools effectively and recognizing when generated solutions introduce unnecessary complexity.