Data & AI Engineering Lead

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🇨🇴 Colombia – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 10%

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EX Squared

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2000

💼 Consulting

🤖 Artificial Intelligence

🤝 B2B

Consulting • Artificial Intelligence • B2B

EX Squared is a digital product and experience consultancy that helps enterprises move AI and digital initiatives from ambition into production. Since 2001 the firm has delivered strategy, UX/UI and multi-channel digital experiences plus engineering and IT infrastructure work, and specializes in GenAI, machine learning, computer vision, and NLP. EX Squared is a certified Optimizely and Sitecore partner and focuses on building enterprise-scale digital products and advanced AI-driven solutions for large B2B clients.

📋 Description

• Lead the technical execution of the unified Data and AI Engineering team • Establish and advance technical direction by evaluating architecture options, reviewing designs and pull requests, and guiding complex implementation decisions • Ensure data-intensive systems meet standards for data integrity, security, reliability, scalability, and maintainability • Identify and reduce technical debt, recurring defects, architectural risks, and security vulnerabilities • Remain hands-on through code reviews, troubleshooting, technical design discussions, and direct engineering contributions • Lead, mentor, and support engineers through feedback, performance management, workload balancing, and professional development • Assess team capacity, identify overload risks, and redistribute work • Translate product and business priorities into technical workstreams, user stories, actionable tickets, and ownership assignments • Assign engineering work based on expertise, workload, task complexity, and business priority • Own delivery effectiveness and quality, investigate recurring QA findings, and implement preventive improvements • Coordinate with AI specialists on solution requirements, dependencies, and implementation risks • Support data engineering initiatives involving processing, transformation, integration, consistency, and secure customer-information handling • Collaborate with Product, Engineering leadership, and stakeholders to clarify priorities and communicate technical trade-offs • Communicate delivery status, blockers, incidents, changes, and technical risks • Recommend scalable process improvements • Promote accountability, critical thinking, collaboration, continuous learning, and customer-focused engineering

🎯 Requirements

• 7–8 years of professional Software Engineering experience, including backend development, distributed systems, or data-intensive applications • 3 years of hands-on Data Engineering experience, including data pipelines, ETL/ELT processes, transformations, integrations, and data quality • 2–3 years of technical leadership experience as an Engineering Lead, Technical Lead, Engineering Manager, or similar role • Experience managing or leading engineers, including mentoring, performance feedback, delegation, workload management, and professional development • Strong programming experience, preferably with Python, applied to backend development, data processing, or automation • 4 years of experience with SQL and relational databases, including data modeling, database design, query optimization, and data integrity • Strong experience in software architecture and system design, particularly with scalable backend services, system integrations, and data-intensive applications • Experience leading end-to-end engineering delivery, including technical planning, backlog prioritization, task allocation, execution tracking, and quality assurance • Strong understanding of software engineering best practices, including code reviews, automated testing, secure development, and technical debt management • Practical understanding of AI/ML concepts and AI-powered applications • Experience working with cloud platforms such as AWS, Azure, or Google Cloud Platform • Familiarity with Git, CI/CD pipelines, containerization, and modern development workflows • Experience identifying and addressing risks related to reliability, security, data integrity, scalability, and performance • Ability to balance hands-on technical work with architecture, people leadership, and delivery responsibilities • Experience collaborating with Product Management and cross-functional stakeholders • Strong analytical thinking, problem-solving, decision-making, and organizational skills • Advanced English proficiency (B2+/C1) • Ability to work independently, manage changing priorities, and take ownership of engineering outcomes • Currently located and legally able to work remotely from an approved country in Latin America • Ability to maintain substantial overlap with U.S. Eastern Time business hours

🏖️ Benefits

• Full-time employment • 100% remote work within Latin America • Significant overlap with U.S. Eastern Time business hours • Professional development support • Collaborative, inclusive, and innovation-driven culture

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