AI Development Engineer

Purpose of the job

The AI Development Engineer is a hands-on technical expert and builder within Our Client’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 emphasizes 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 Responsibility Areas

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

Systems, Data & Integration

• Integrate Copilot agents with enterprise systems and services (e.g., Microsoft 365, 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)

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

Main Responsibility Areas (continued)

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

• Copilot Agent Factory team
• Business stakeholders and process owners
• IT, security, and data platform teams
• Microsoft ecosystem specialists and selected technology partners
• Internal and external AI and digital communities

Key Competences

Technical Expertise

• Hands-on experience with LLM-based solutions (e.g., Microsoft Copilot, Copilot Studio, Azure OpenAI; other models are 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

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

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

Values & Ways of Working

• Demonstrates Ahlstrom values: Growth Mindset, One Team, Accountability, Care
• Comfortable operating in fast-evolving technology areas with ambiguity

Required Education

• Degree in a relevant technical field (e.g., computer science, information systems, engineering) or equivalent practical experience in AI, software, or automation development