Head of AI Engineering

The Global Talent Co.

2d•Remote

About The Position

We are an AI strategy and integration firm that builds production AI systems for B2B companies in private equity, wholesale lending, real estate, and SaaS. We work with high-growth businesses globally, helping them move revenue, compress costs, and automate the work that used to take entire teams — through AI systems that are built to last and designed to perform. We are seeking a Head of AI Engineering to own all engineering delivery at our Colombia engineering hub. This is the senior-most technical leadership role in the organization. You will lead a high-performing team of AI, ML, MLOps, and Data Engineers while setting the technical bar personally. You'll translate ambitious client goals into scalable, production-ready AI systems — and build the processes, platforms, and culture needed to operate at scale. The ideal candidate has a proven track record of deploying AI systems that moved real business KPIs, is comfortable being client-facing, and knows what it means to own the whole problem — not just manage a piece of it.

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
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
Exceptional communication across engineering, client, and executive audiences

Nice To Haves

Former founder or early engineering leader who has operated with full ownership of a technical function
Experience in consulting, professional services, or client-facing technical leadership
Track record of deploying AI systems that moved a business KPI — revenue gained, cost saved, or time eliminated
Active in the AI community — writing, speaking, or building in public

Responsibilities

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