Purpose of the job:
The Copilot Development Specialist is a hands-on technical expert and builder within Ahlstrom’s Copilot Agent Factory. The role focuses on designing, developing, deploying, and governing practical, enterprise‑grade Copilot Agents and Azure AI–based solutions that augment daily work across businesses and functions.
The role emphasises real value creation over experimentation: building scalable, secure, and usable Copilot and agentic AI solutions that improve productivity, decision quality, and user experience, while embedding strong technical, security, and responsible AI governance practices.
Main responsibilities areas:
1. Copilot & Agent Solution Development Design, build, and continuously improve task‑oriented Copilot agents and agentic AI solutions supporting end‑to‑end business processes. Develop solutions using Microsoft Copilot, Copilot Studio, Azure OpenAI, and related Azure AI services. Translate business requirements into agent logic, prompts, workflows, and guardrails. Rapidly iterate from proof of concept to MVP and scaled production use.
2. Systems, Data & Integration Integrate Copilot agents with enterprise systems and services (e.g. Microsoft, SharePoint, Teams, document repositories, APIs, SAP where applicable). Work closely with IT, security, and data teams to ensure correct access management, data usage, and compliance. Support orchestration of multi‑step agent workflows (trigger → reasoning → action → output).
3. Quality, Risk & Governance Apply responsible AI principles: transparency, explainability, human‑in‑the‑loop, and accountability. Implement prompt versioning, testing, monitoring, and continuous quality improvement. Contribute to Copilot and AI governance practices, including documentation, auditability, and lifecycle management. Ensure solutions align with internal AI guidelines and security policies.
4. Quality, Risk & Governance Apply responsible AI principles: transparency, explainability, human‑in‑the‑loop, and accountability. Implement prompt versioning, testing, monitoring, and continuous quality improvement. Contribute to Copilot and AI governance development and practices, including documentation, auditability, and lifecycle management. Ensure solutions align with internal AI guidelines and security policies
5. Collaboration, Enablement & Standards Co‑create solutions with business teams to ensure relevance, adoption, and measurable impact. Act as a technical advisor on what Copilot agents can and cannot do. Contribute to shared standards, reusable components, playbooks, and development patterns for the Copilot Agent Factory. Support internal capability building and knowledge sharing.
Co-operation network:
6. Copilot Agent Factory team
7. Business stakeholders and process owners
8. IT, security, and data platform teams
9. Microsoft ecosystem specialists and selected technology partners
10. Internal and external AI and digital communities
Key competencies:
11. Technical expertise Hands‑on experience with LLM‑based solutions (e.g. Microsoft Copilot, Copilot Studio, Azure OpenAI; other models a plus). Strong understanding of prompt engineering, agent patterns, tool / function calling, and multi‑step workflows. Experience integrating AI solutions with enterprise systems via APIs and workflows. Basic scripting or development capability (e.g. Python, JavaScript, Power Platform expressions). Experience in the Microsoft ecosystem (Teams, SharePoint, Power Platform) is a strong advantage.
12. Enterprise & delivery mindset Experience building solutions for internal users and real business processes. Ability to balance speed, usability, security, and governance. Comfort working in complex, regulated, and data‑sensitive environments
13. Communication & collaboration Ability to explain AI behaviour and limitations in clear, business‑friendly language. Strong collaboration skills in cross‑functional and international environments. Pragmatic, curious, and outcome‑oriented working style.
14. Values & ways of working Demonstrates Ahlstrom values: Growth Mindset, One Team, Accountability, Care. Comfortable operating in fast‑evolving technology areas with ambiguity.
Required Education:
15. Degree in a relevant technical field (e.g. computer science, information systems, engineering) or equivalent practical experience in AI, software, or automation development.
If this role appeals to you and you are motivated, dynamic, and eager to grow in a challenging and fast-paced environment, we encourage you to submit your application!