人工智能工程主管
Head of AI Engineering
首席人工智能工程师 – 英语流利（C1级）
全职 | 远程办公 | 哥伦比亚
关于公司
我们是一家人工智能战略与整合公司，为私募股权、批发贷款、房地产和SaaS领域的B2B公司构建生产级人工智能系统。
我们与全球高增长企业合作，帮助他们提升收入、压缩成本，并通过可持续且高性能的人工智能系统自动化原本需要整个团队完成的工作。
关于职位
我们正在寻找一位首席人工智能工程师，负责哥伦比亚工程中心的所有工程交付工作。
这是公司内最高级别的技术领导职位。您将领导一支由人工智能、机器学习、MLOps和数据工程师组成的一流团队，并亲自设定技术标准。您将把雄心勃勃的客户目标转化为可扩展、生产就绪的人工智能系统——并建立运营规模所需的流程、平台和文化。
理想的候选人有部署真正推动业务KPI的人工智能系统的成功经验，能够直接面对客户，并了解什么是真正负责整个问题——而不仅仅是管理其中一部分。
主要职责
工程交付与领导
* 负责所有工程交付成果——质量、可扩展性和按时执行
* 领导和管理整个工程团队：人工智能工程师、机器学习工程师、MLOps工程师和数据工程师
* 建立并运行敏捷/Scrum流程：冲刺、待办事项梳理、工单和发布计划
* 建立问责制、实验精神和持续改进的文化
人工智能/机器学习策略与架构
* 定义并标准化整个人工智能/机器学习生命周期的最佳实践——从实验到部署和监控
* 架构并监督完整的机器学习平台：基础设施、可扩展性、可靠性和快速迭代
* 设计并构建可扩展的端到端机器学习解决方案，用于预测、推荐、搜索和增长系统
* 评估实验，记录发现，选择最佳方法，并在团队中推广
技术执行
* 直接参与系统架构和关键技术决策
* 监督模型训练、优化、部署和性能监控
* 推动数据卓越：清洁的数据管道、强大的治理和可操作的洞察
* 建立将生成式AI集成到工程工作流程中的框架
客户参与
* 作为高级技术代表参与客户会议，塑造解决方案
查看英文原文
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 Global 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.