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Chief agentic ai architect

Camboriú
beBeeArtificial
Anunciada dia 16 novembro
Descrição

Next-Generation AI Engineer

We are seeking a highly skilled engineer to lead the development of cutting-edge agentic AI systems. The successful candidate will have expertise in designing and implementing scalable, production-grade AI solutions.

The ideal candidate will be able to work effectively with cross-functional teams to ensure technical excellence throughout all stages of delivery. A strong understanding of machine learning, data analysis, and software development is essential.


Responsibilities

* Design and develop advanced AI algorithms for predictive analytics and decision-making.
* Implement serverless, event-driven workflows using Azure Functions and Logic Apps.
* Build and optimize ML models using Azure ML, Databricks, and Python.
* Ensure observability and reliability through Azure Monitor and logging frameworks.
* Define architecture patterns, reusable components, and governance standards.
* Leverage Microsoft AI Foundry to build and deploy enterprise-grade agents.


Requirements

* Proficiency in Python, Power Apps, Power Automate, Databricks, Snowflake, and Azure Machine Learning.
* Experience with SAP HANA, Kafka, UiPath, and Vector Databases.
* Familiarity with Azure IoT Hub, OpenCV, TensorFlow, and PyTorch.
* Strong communication and leadership skills.


Benefits

This role offers a unique opportunity to work on cutting-edge AI technology and contribute to the development of next-generation agentic AI systems. As a key member of our team, you will have the chance to collaborate with experienced engineers and experts in the field.


Cross-Functional Collaboration

You will work closely with:

* Data Scientists & ML Engineers – for model development and integration
* Product Managers & UX Designers – aligning agent capabilities with user needs
* Enterprise Architects & DevOps Engineers – ensuring scalability and deployment efficiency
* Security & Compliance Teams – meeting regulatory and governance requirements
* Business Stakeholders & SMEs – defining use cases and validating outcomes
* Change Management & Enablement Teams – supporting adoption and training efforts

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