Analista de IA Sênior
New
J
JobgetherAI operations
Based in BrazilFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- At least 5 years of professional experience in areas such as product, data, operations, customer experience, or consulting
- Required Skills
- SQLData AnalysisGenerative AI
Requirements
- At least 5 years of professional experience in product, data, operations, customer experience, consulting, or related areas.
- Hands-on experience with generative AI and AI agents in production environments.
- Practical understanding of operating, evaluating, and improving agent-based solutions.
- Strong SQL skills for querying, analyzing, and validating business data.
- Advanced analytical capabilities, including interpreting metrics and trends, identifying patterns, and investigating issues.
- Ability to evaluate AI behavior, challenge assumptions, and improve processes.
- Ability to guide non-technical stakeholders, gather requirements, explain AI concepts, and collaborate across teams.
- Autonomy, ownership, organization, accountability, and a collaborative approach.
- Completed or ongoing higher education, including a bachelor’s degree, technology degree, postgraduate qualification, or technical education.
- Experience with n8n or another low-code automation platform is a plus.
- Conversation Design experience and a background in customer service or support are desirable.
- Previous experience in the cinema industry is an advantage.
Responsibilities
- Guide business teams in turning their knowledge into manuals, context, guidelines, and other materials for AI agents.
- Design agent conversations, including objectives, tone of voice, user profiles, expected experiences, and interaction flows.
- Configure, maintain, and improve AI agents using n8n or similar automation environments, including prompts, tools, and SQL queries in collaboration with BI and Technology teams.
- Test and monitor real-world conversations, identify failures, and convert findings into corrections, test cases, and improved operating practices.
- Document prompts, protocols, decisions, and operational knowledge in corporate environments.
- Communicate AI developments, gather feedback, and translate business needs into actionable improvements.
- Identify and prioritize AI opportunities, maintain the AI backlog, and communicate recommendations to Product leadership.
- Develop reusable AI methodologies, standards, and best practices.
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