About us
act digital is an international consulting and engineering group that supports its clients in their digital transformation projects.
Present in 12 countries and with more than 7,000 employees, we leverage our expertise to address their challenges in software development, cybersecurity, data, cloud, and AI.
Our ambition: to become the trusted technology partner of the most innovative companies, by designing and securing systems that enhance their performance and resilience.
Joining act digital means becoming part of an agile and committed organization that works closely with its clients to turn ideas into concrete results, with pragmatism and high standards.
Job Description
You will join our team of experts in AI.
Your responsibilities will include:
Business team enablement (approximately 60%)
- Work hands-on with pioneering business teams to identify, shape and prioritise concrete Team Agent use cases.
- Co-design and build Team Agents together with business pioneers.
- Help move use cases from idea and prototype to production-ready solutions.
- Coach business teams in the adoption and operation of their Team Agents.
- Combine technical delivery with stakeholder engagement, practical guidance and removal of implementation blockers.
Agentic Platform contribution (approximately 40%)
- Identify recurring patterns, needs and lessons from Team Agent implementations.
- Co-develop reusable components, templates, connectors, documentation and best practices with the Agentic Platform team.
- Ensure reusable learnings flow back into the platform and avoid isolated, one-off solutions.
- Work within the architecture, roadmap and ownership boundaries defined by the Agentic Platform team.
Required qualifications
What profile are we looking for this position:
Must-have skills :
- Proven hands-on experience building agentic AI solutions and AI agents.
- Experience taking use cases from idea or prototype towards production.
- Experience integrating solutions through APIs and working with Python and AWS environments.
- Experience working directly with business stakeholders and coaching early adopters or pioneering teams.
- Experience collaborating with platform or engineering teams to convert implementation learnings into reusable assets.
- Demonstrated ability to balance delivery speed, governance, maintainability and reuse.
- Knowledge : Agent orchestration, sub-agents and agent skills. Model Context Protocol (MCP) and Agent-to-Agent (A2A) concepts. Retrieval-Augmented Generation (RAG). AI governance and responsible delivery of AI solutions. AWS, Python, APIs and systems integration. Patterns for reusable components, connectors, templates and production-ready agent solutions.
