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 DoEngineering 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, and roll them out team-wide.
- Architect and oversee a full ML platform, including infrastructure that supports scalability, reliability, and rapid iteration.
Hands-On Technical Leadership
- Lead from the front as a hands on subject matter expert, contributing to system architecture and key technical decisions.
- Design and build scalable, end to end machine learning solutions for predictions, recommendations, search, and growth initiatives.
- Oversee model training, optimization, deployment, and performance monitoring.
- Drive data excellence across the organization, ensuring clean pipelines, strong governance, and actionable insights.
Collaboration & Client Engagement
- Act as a senior, client facing technical leader joining calls, shaping solutions, and building trust with stakeholders.
- Partner with product managers, project managers, and business leaders to translate business objectives into technical roadmaps.
- Inform and deliver on ambitious product and platform roadmaps to accelerate company growth.
Team Building & Mentorship
- Hire, coach, and mentor top tier AI first engineers and engineering leaders.
- Establish clear career paths, feedback loops, and performance standards.
- Build and scale the AI function across MLE, MLOps, and Data Engineering.
Required Experience
- 10+ years of engineering experience, with significant leadership responsibility.
- Proven experience managing large engineering teams
- Deep expertise in AI/ML systems, including generative AI, model training, and production deployment.
- Strong experience with Agile/Scrum methodologies and engineering operations.
- Track record of architecting and scaling ML platforms and data infrastructure.
- Comfortable being client-facing and translating complex technical concepts into business value.
Technical Skills
- Machine Learning, Generative AI, and Model Optimization
- MLOps, CI/CD, and ML lifecycle management
- Cloud infrastructure (AWS, GCP, or Azure)
- Data engineering, pipelines, and analytics
- Scalable system design and architecture
Leadership Traits
- Builder mindset with a bias toward action
- Excellent communicator and collaborator
- Strategic thinker who can still dive deep technically
- Passion for mentoring and developing teams
- Comfortable operating in a fast-paced, high growth environment
- Lead and shape a rapidly growing AI engineering organization
- Work on real world, high impact AI systems
- Influence company wide technical strategy and execution
- Collaborate with elite engineers and forward-thinking clients