
Chief Artificial Intelligence Strategist
Há 4 dias
Agile Engine is a leader in the field of Artificial Intelligence, with a strong focus on delivering high-quality solutions to our clients.
Key Responsibilities:- Collaborate with sales and business teams to identify client needs and participate in sales calls to shape compelling AI offerings;
- Work closely 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;
- Collaborate with internal teams to ensure a smooth transition from early consulting phases to implementation;
- Contribute to proposals, workshops, and documentation for AI adoption initiatives;
- Optionally: Evangelize our capabilities by writing, speaking, or mentoring internally.
- 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;
- Self-starter mentality with the ability to kickstart projects, shape ambiguous goals, and move fast with confidence;
- Upper-Intermediate English level.
- Prior experience in fractional CTO roles or acting as a strategic technical advisor;
- Background in startup consulting, product ideation, or venture-backed AI/ML companies;
- Experience with multi-modal AI (e.g., text, image, audio) or agent-based systems;
- Public speaking, writing, or AI evangelism contributions.
The ideal candidate will have a strong background in AI/ML and consulting, excellent communication skills, and a self-starter mentality.
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