About this role
Summary: Hands-on technical lead for the AI & Automation Centre of Excellence, responsible for designing, building, and deploying AI solutions using LLMs and enterprise tools. The role involves governing AI adoption, ensuring compliance with GDPR and EU AI Act, and enabling cross-functional teams through playbooks and mentor...
The Lead AI is the hands-on technical lead of our AI & Automation Centre of Excellence. You make AI real inside Basware: Claude, Copilot, Azure AI and the automation platforms around them, used well by every function and governed so adoption scales safely.
Our team is small. You don't hand off a strategy and step away. You build the proof of concept, validate it, and stay with it until people use it every day.
This role is about Basware's own adoption of AI, not the AI we sell to customers.
### What you’ll do
- Design, build and deploy. Design, architect, build and deploy Ai solutions. Turn what works into repeatable patterns, and track adoption and value after launch.
- Assess and shape ideas. Be the front door for AI adoption driven transformation across the organization. Test feasibility with working prototypes, check data flows and risk, and shape each idea into a solution on our existing tools.
- Run the AI platforms. Configure and integrate the platforms: architecture, access management, integrations, and rollout and operating model.
- Govern. Define and build governance policy, risk management, data classification etc. and implement them as technical controls teams can follow. Every use case goes live through this process. Work with Legal and Security on GDPR and EU AI Act requirements.
- Enable. Build playbooks, patterns, and working examples, and teach by building alongside the people who use them. Support AI champions in each function. Set and apply practical patterns for AI-assisted software development.
- Report and grow. Keep the AI steering group informed on value, cost, and risk. Grow the team as the CoE scales.
### What you bring
Must-haves
- Solid software development experience, with recent hands-on work building with LLMs and enterprise AI tools
- A track record of designing and deploying AI use cases into production and sustaining real adoption, beyond pilots.
- Experience implementing and governing AI tools at enterprise scale, including AI-assisted development
- Clear understanding of how data moves and what leaves our tenancy, with working fluency in cloud, security, data privacy, integration architecture etc.
- Practical knowledge of privacy and security for AI: GDPR, EU AI Act, data residency and classification
- Good judgment on where AI adds value and where it doesn’t
- Strong cross-functional working relationships with business teams, IT and Security
- Experience mentoring or leading people in a player-coach role
Nice to have
- Built a Centre of Excellence or enablement function
- Microsoft 365 Copilot and Power Platform rollout experience
- Workflow automation and orchestration tooling
- Familiarity with finance, sales, marketing and HR processes
- FinOps for AI and tooling spend