Head of AI Engineering - Bilingual English C1

Location: Colombia - Medellinp

About Cadre AI Cadre AI is building the future of AI powered solutions for modern enterprises. We partner closely with our clients to design, deploy, and scale cutting edge generative AI and machine learning systems that drive real business outcomes. Our team is fast-moving, deeply technical, and relentlessly focused on impact. We are now looking for a Head of AI Engineering to lead our engineering organization in Colombia and help define the next chapter of Cadre AI’s growth.

The Role

The Head of AI Engineering is a senior, hands on leader responsible for owning all engineering delivery at Cadre AI. This role blends deep technical expertise, people leadership, and client facing collaboration. You will lead a large, high performing engineering organization while personally setting the technical bar for AI, ML, and data driven systems. You’ll work closely with clients, executives, product leaders, and internal teams to turn ambitious business goals into scalable, production ready AI solutions while building the processes, platforms, and culture needed to operate at scale. This role is based in Colombia and is critical to our engineering and company wide success.

What You’ll Do

Engineering Leadership & Execution • Own all engineering deliverables across Cadre AI, ensuring quality, scalability, and on time execution. • Lead and manage a large engineering organization, including AI Engineers, ML Engineers, MLOps, and Data Engineers. • Establish and run Agile/Scrum processes: sprints, backlog grooming, ticketing, and release planning. • Build a culture of accountability, experimentation, and continuous improvement. AI & ML Strategy • Drive transformative change by establishing frameworks that seamlessly integrate generative AI into engineering workflows, dramatically boosting productivity. • Define and standardize best practices across the AI/ML lifecycle, from experimentation to deployment and monitoring. • Evaluate AI experiments, document findings, select winning approaches, a