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Agentic AI Enablement Consultant

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Hybrid

Agentic AI Enablement Consultant

Kalytech Consulting

Agentic AI Enablement Consultant

Skills

PythonAWSAIRAGAgent-to-Agent (A2A)Model Context Protocol (MCP)

1 month ago

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Important information


Contract type:

Freelance / Contract

Daily rate:

Salary according to profile

Location:

Brussels, Belgium

Work mode:

Hybrid

Published on:

15 September 2026

What they need


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.

Profile wanted


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.

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