Head of AI Engineering (Bogotá)

Head of AI Engineering (Bogotá)

17 ago
|
The Global Talent
|
Bogotá

17 ago

The Global Talent

Bogotá

Head of AI Engineering – Bilingual English C1

Full-Time | Remote | Colombia

About the Company

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.

About the Role

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.

Key Responsibilities

Engineering Delivery & Leadership

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

AI/ML Strategy & Architecture





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

Technical Execution

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

Client Engagement

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

Team Development

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

Nice to Have

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

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

- Exceptional communication across engineering, client, and executive audiences

At The General Talent Co., our mission is to bridge the gap between leading global tech companies and amazing global talent. We believe everyone deserves equal access to opportunities, regardless of the country they are born in.

📌 Head of AI Engineering (Bogotá)
🏢 The Global Talent
📍 Bogotá

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