AI Solutions Engineer

QS Quacquarelli Symonds

AI Solutions Engineer at QS designing, building, and deploying AI solutions for higher education impact. Collaborating with cross-functional teams to enhance user experiences and workflows.

Posted 6/23/2026contractRemote • 🇪🇨 EcuadorMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AWSAzureBigQueryCloudETLGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

We are seeking an AI Solutions Engineer to join our team and help design, build, and deploy AI-powered products and solutions that deliver meaningful business value.
You will collaborate closely with Product, Data, Engineering, and Machine Learning teams to identify opportunities where AI can improve user experiences, automate workflows, and unlock new capabilities across our platforms.
You will be responsible for transforming business requirements into scalable AI solutions, integrating AI capabilities with existing data platforms and services, and ensuring solutions are reliable, secure, and cost-effective.
You will also contribute to the development of data pipelines, retrieval systems, evaluation frameworks, and deployment processes that support production AI systems.
Monitor, troubleshoot, and continuously improve production AI systems.
Contribute to AI governance, security, and responsible AI practices.
Stay current with emerging AI technologies, frameworks, and industry best practices.

Requirements

What you’ll need

Experience in Data Engineering, AI Engineering, Machine Learning Engineering, or a related technical field.
Strong Python development skills with experience building production-grade applications and data pipelines.
Experience working with Large Language Models (LLMs) and modern AI platforms.
Hands-on experience building AI agents, agentic workflows, AI automations, or conversational AI systems.
Strong SQL skills and experience working with large-scale datasets.
Experience with cloud data warehouses and data lake architectures such as BigQuery, Snowflake, or similar platforms.
Strong understanding of data modeling, data transformation, and ETL/ELT processes.
Experience integrating APIs, external services, and enterprise data sources into AI solutions.
Familiarity with Retrieval-Augmented Generation (RAG) architectures and vector search concepts.
Experience deploying applications and services in cloud environments such as Google Cloud Platform (GCP), AWS, or Azure.
Understanding of software engineering best practices, including version control, testing, documentation, and CI/CD processes.
Strong problem-solving skills and ability to translate business requirements into scalable technical solutions.
Excellent communication skills and ability to work effectively with both technical and non-technical stakeholders.

Benefits

Comp & perks

Free subscription to the Calm App – the #1 app for sleep, meditation, and relaxation
A focus on welfare which is led by our global wellness team, with mental health first aiders globally
Access to a variety of diversity and inclusion initiatives and groups
Strong recognition and reward programs – including a peer-to-peer recognition platform, quarterly and annual QS Applaud Awards, Connect with your Career annual PD event
Support for volunteering and study leave
Free subscription to LinkedIn learning – with over 5000 courses and programmes at your fingertips
Options to join our outstanding global Mentorship programme

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Hard Skills & Tools

PythonSQLData EngineeringAI EngineeringMachine Learning EngineeringLarge Language ModelsETLData ModelingData TransformationAPI Integration

Soft Skills

Problem-solvingCommunicationCollaborationStakeholder EngagementAdaptabilityCritical ThinkingCreativityAttention to DetailTime ManagementTeamwork