AI Strategist

Há 7 dias


Joinville, Santa Catarina, Brasil beBeeArtificial Tempo inteiro US$80.000 - US$150.000

Join us in a challenging environment where you work with the best, learning and experimenting every day.

This opportunity is for an experienced AI/ML professional who can collaborate with our sales and business teams to identify client needs and shape compelling AI offerings. You will partner with clients to define AI roadmaps, prioritize use cases, and translate business needs into actionable AI solutions.

You will design and lead proof-of-concepts (PoCs) using Generative AI (e.g., LLMs, RAG pipelines, agents) and Predictive AI (e.g., forecasting, classification, clustering). As a trusted strategic advisor, you will help clients understand where AI fits in their product or data journey.

Key Responsibilities
  • Partner with sales and business teams to identify client needs and participate in sales calls to shape compelling AI offerings;
  • Collaborate with clients to define AI roadmaps, prioritize use cases, and translate business needs into actionable AI solutions;
  • Design and lead proof-of-concepts (PoCs) using Generative AI (e.g., LLMs, RAG pipelines, agents) and Predictive AI (e.g., forecasting, classification, clustering);
  • Act as a trusted strategic advisor, helping clients understand where AI fits in their product or data journey;
  • Contribute to proposals, workshops, and documentation for AI adoption initiatives;
  • Optionally: Evangelize our capabilities by writing, speaking, or mentoring internally;
Requirements
  • 5+ years of AI/ML experience, with proven delivery of both predictive and generative AI solutions in business settings;
  • Demonstrated consulting experience (e.g., client-facing, pre-sales support, fractional CTO work, or agency consulting);
  • Hands-on experience with Generative AI tools and models (e.g., OpenAI GPT, Claude, open-source LLMs, vector databases, LangChain/RAG architectures);
  • Experience building or advising on predictive modeling pipelines, using tools like scikit-learn, XGBoost, Prophet, etc.;
  • Strong communication skills: able to present to executives and business users, explain technical concepts, and tell compelling data stories;
  • Experience with cloud platforms (AWS, GCP, or Azure) and MLOps best practices is a plus;