Watson Assistant AI Engineer Sênior

Accountabilities: Define architectures, standards, and best practices for enterprise conversational AI solutions.

Lead the evolution and continuous improvement of virtual assistants, ensuring scalability, quality, and business alignment.

Act as a technical reference for multidisciplinary teams, providing guidance on AI, automation, and conversational technologies.

Analyze solution performance, identify improvement opportunities, and implement continuous optimization strategies.

Drive initiatives involving Natural Language Understanding (NLU), Natural Language Processing (NLP), Generative AI, and conversational automation.

Support the implementation and adoption strategy of IBM watsonx Orchestrate solutions.

Evaluate new IBM watsonx platform capabilities and contribute to the strategic roadmap for technology evolution.

Design and improve integrations with enterprise systems through APIs, microservices, and scalable architectures.

Ensure production solutions meet quality, observability, governance, and performance standards.

Establish monitoring practices and operational improvements for conversational AI solutions.

Requirements:

Solid professional experience developing conversational AI solutions and enterprise virtual assistants.

Advanced experience with IBM Watson Assistant, including Dialog and Actions capabilities.

Proven experience designing architectures for corporate conversational assistants.

Strong knowledge of Natural Language Understanding (NLU), Natural Language Processing (NLP), and Generative AI (GenAI).

Experience working with IBM watsonx technologies and AI-driven automation solutions.

Experience participating in IBM watsonx Orchestrate implementation or evolution initiatives.

Advanced knowledge of IBM Cloud environments.

Experience integrating AI solutions with APIs, microservices, and enterprise systems.

Experience with monitoring, observability, governance, and lifecycle management of bots in production environments.

Ability to act as a technical leader and mentor for engineering teams.

Experience defining architectures, technical standards, and best practices for conversational solutions.

Strategic understanding of the evolution of the IBM Watson/watsonx ecosystem and conversational automation trends.

Strong analytical, problem-solving, and communication skills.

Benefits:

Fully remote work opportunity.

Opportunity to work with advanced Artificial Intelligence, Generative AI, and conversational automation technologies.

Exposure to innovative enterprise-scale projects and emerging AI solutions.

Opportunity to act as a technical reference and influence AI transformation initiatives.

Collaborative environment with multidisciplinary and highly skilled technology teams.

Professional growth opportunities focused on cutting-edge technologies and continuous learning.

Opportunity to contribute to impactful digital transformation projects.

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