Senior AI Technical Evangelist

Who we are

We are looking for a Senior AI Evangelist to help accelerate the adoption of AI across business and technology teams. This is a senior individual contributor, hands-on role, focused on turning AI opportunities into practical solutions, prototypes, and successful first implementations.
The ideal candidate combines strong, practical, and demonstrable AI expertise with excellent communication and stakeholder engagement skills. You will work directly with business and technical teams to identify high-value use cases, demonstrate emerging AI capabilities, build prototypes and Proofs of Concept (PoCs), and guide teams from experimentation to implementation.

What you'll be doing

- Partner with business and technical stakeholders to identify and shape high-value AI and GenAI use cases

- Build and demonstrate AI prototypes and PoCs, translating ideas into tangible solutions

- Design and implement solutions using LLMs, AI agents, RAG architectures, tools, APIs and integrations

- Evaluate and experiment with emerging AI technologies, frameworks and models

- Deliver technical workshops, demos and enablement sessions for engineering and business teams

- Support teams during their first AI implementations, providing hands-on technical guidance and best practices

- Help move successful PoCs toward production-ready AI solutions, considering scalability, security, reliability and responsible AI practices

- Act as a trusted AI advisor, helping stakeholders understand where AI creates real business value and where it does not

What you'll bring along

- Degree in Computer Science, Engineering or equivalent experience

- Senior-level experience in AI/ML, Generative AI, or AI-focused software engineering

- Strong hands-on AI expertise demonstrated through real projects and implementations, ideally with significant AI/GenAI project experience in the last 2 years

- Practical experience with LLMs, prompt engineering, RAG, embeddings, vector databases and AI agents

- Experience with agentic frameworks and concepts such as LangChain, LangGraph, Semantic Kernel, AutoGen, or similar technologies

- Strong experience integrating AI solutions with APIs, enterprise systems, tools and external data sources

- Proficiency in Python and experience building AI services or applications

- Familiarity with major AI ecosystems and platforms such as Azure OpenAI, OpenAI, Anthropic, Hugging Face, or equivalent

- Understanding of production AI topics including evaluation, observability, security, guardrails, responsible AI and performance optimization

- Strong presentation and communication skills, with the ability to explain complex AI concepts to both technical and non-technical audiences

- Comfortable working independently in a highly visible, exploratory and fast-moving environment