Agentic AI Enablement Consultant
Enregistrez cette offre et organisez votre recherche
Créez un compte gratuit pour enregistrer des offres d'emploi, créer des alertes et revenir à cette liste depuis votre tableau de bord.
Job description
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.
Requirements
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.