
AI Innovations Leader
1 semana atrás
This challenging role involves partnering with sales and business teams to identify client needs and participate in sales calls to shape compelling AI offerings.
Key Responsibilities- 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;
- Optional: Evangelize our capabilities by writing, speaking, or mentoring internally;
- A minimum of 5 years of experience in AI/ML, with a proven track record of delivering 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;
- An upper-intermediate level of English proficiency;
- The opportunity to work with top clients and drive business growth through AI innovation;
- A dynamic and supportive team environment that fosters collaboration and learning;
- The chance to develop your expertise and stay up-to-date with the latest AI trends and technologies;
- Prior experience in fractional CTO roles or acting as a strategic technical advisor is highly valued;
- Background in startup consulting, product ideation, or venture-backed AI/ML companies is also desirable;
- Experience with multi-modal AI (e.g., text, image, audio) or agent-based systems is an asset but not required;
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