Head of AI Engineering
GLOBALTALENT
full-time
Posted on:
Location Type: Remote
Location: Colombia
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Job Level
About the role
- Own all engineering deliverables — quality, scalability, and on-time execution
- Lead and manage the full engineering organization: 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
- Define and standardize best practices across the full AI/ML lifecycle — from experimentation through deployment and monitoring
- Architect and oversee a full ML platform: infrastructure, scalability, reliability, and rapid iteration
- Design and build scalable, end-to-end ML solutions for predictions, recommendations, search, and growth systems
- Evaluate experiments, document findings, select winning approaches, and roll them out team-wide
- Contribute directly to system architecture and key technical decisions
- Oversee model training, optimization, deployment, and performance monitoring
- Drive data excellence: clean pipelines, strong governance, and actionable insights
- Establish frameworks that integrate generative AI into engineering workflows
- Join client calls as a senior technical voice, shaping solutions and building stakeholder trust
- Partner with product managers and business leaders to translate business objectives into technical roadmaps
- Present trade-offs clearly so clients understand what's being built and why it will move their business
- Hire, coach, and mentor top-tier AI-first engineers and engineering leaders
- Establish clear career paths, feedback loops, and performance standards
- Scale the AI function across MLE, MLOps, and Data Engineering as the company grows
Requirements
- 10+ years of engineering experience with significant and proven leadership responsibility
- Track record managing large engineering teams in fast-moving, high-accountability environments
- Deep expertise in AI/ML systems — generative AI, model training, and production deployment
- Strong command of Agile/Scrum and the operational discipline to run a high-output engineering org
- Experience architecting and scaling ML platforms and data infrastructure
- Comfortable being client-facing and translating complex technical concepts into business value
- English proficiency at C1 level or above.
Benefits
- Flexible working arrangements
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AIMLmodel trainingproduction deploymentAgileScrumML platformsdata infrastructurescalabilityreliability
Soft Skills
leadershipcommunicationmentoringaccountabilitycollaborationproblem-solvingclient-facingstakeholder trustperformance standardscontinuous improvement