Asks for

The ad says“Hands-on experience building AI agents, agentic workflows, AI automations, or conversational AI systems.”
The ad says“Experience in Data Engineering, AI Engineering, Machine Learning Engineering, or a related technical field.”
The ad says“Experience deploying applications and services in cloud environments such as Google Cloud Platform (GCP), AWS, or Azure.”
The ad says“Experience deploying applications and services in cloud environments such as Google Cloud Platform (GCP), AWS, or Azure.”
The ad says“Experience with cloud data warehouses and data lake architectures such as BigQuery, Snowflake, or similar platforms.”
The ad says“Understanding of software engineering best practices, including version control, testing, documentation, and CI/CD processes.”
The ad says“Experience in Data Engineering, AI Engineering, Machine Learning Engineering, or a related technical field.”
The ad says“Strong understanding of data modeling, data transformation, and ETL/ELT processes.”
The ad says“Experience deploying applications and services in cloud environments such as Google Cloud Platform (GCP), AWS, or Azure.”
The ad says“Experience working with Large Language Models (LLMs) and modern AI platforms.”
The ad says“Experience in Data Engineering, AI Engineering, Machine Learning Engineering, or a related technical field.”
The ad says“You will also contribute to the development of data pipelines, retrieval systems, evaluation frameworks, and deployment processes that support production AI systems. While this is not a research-focused role, a strong understanding of machine learning concepts, AI system design, and MLOps practices will be valuable.”
The ad says“Strong Python development skills with experience building production-grade applications and data pipelines.”
The ad says“Experience integrating APIs, external services, and enterprise data sources into AI solutions. • Familiarity with Retrieval-Augmented Generation (RAG) architectures and vector search concepts.”
The ad says“Experience with cloud data warehouses and data lake architectures such as BigQuery, Snowflake, or similar platforms.”
The ad says“Strong SQL skills and experience working with large-scale datasets.”

Role: AI Solutions Engineer

Location: Ecuador

Job type: Full time, Contractor – Remote

Why QS?

At QS, we believe that work should empower you. That’s why we foster a flexible working environment that encourages every employee to own their career whilst flourishing personally and professionally. Our company values underpin everything we do – we collaborate, respect and support each other.

It’s our mission to empower motivated people around the world to fulfil their potential through higher education, ensuring that everyone has access to opportunities that change lives.

Our diversity makes us stronger. By sharing our experiences, we learn from one another and achieve more together, driving progress across the sector.

At QS, you’ll be responsible for implementing real change in the international higher education landscape. You’ll take on meaningful challenges that see a positive impact across the business and the wider sector.

We’re confident you’ll feel right at home here. QS was named as one of Newsweek’s Top 100 Most Loved Workplaces® in the UK (October 2023), recognising the respect, trust and appreciation that drive our culture every day. And as a gold-accredited Investors in People organisation – putting us among the top 28% of workplaces globally – it’s official: QS is a place where everyone can thrive.

As a AI Solutions Engineer, this is what you’ll be doing:

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.

As an AI Solutions Engineer, you will work at the intersection of engineering, data, and artificial intelligence. 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.

In this role, you will design and develop AI-powered applications, agentic workflows, and intelligent automations using Large Language Models (LLMs), retrieval systems, and modern AI frameworks. 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. While this is not a research-focused role, a strong understanding of machine learning concepts, AI system design, and MLOps practices will be valuable.

We are looking for someone who is passionate about AI, enjoys solving complex problems, and is excited about applying emerging technologies to real-world challenges. This role offers the opportunity to shape the future of AI driven products that impact millions of students, learners, and professionals worldwide.

Role responsibilities

Design, build, and deploy AI-powered applications, workflows, and automations using Large Language Models (LLMs) and modern AI frameworks.
Develop AI agents capable of performing multi-step tasks, interacting with external systems, and supporting business processes.
Design and implement Retrieval-Augmented Generation (RAG) solutions using structured and unstructured data sources.
Collaborate with Product, Engineering, and Data teams to identify opportunities where AI can improve products, workflows, and user experiences.
Support the build and maintenance of data pipelines that support AI applications and analytical workloads.
Integrate AI services with internal platforms, APIs, databases, and third-party systems.
Develop evaluation frameworks and testing methodologies to measure AI performance, reliability, and business impact.
Work with structured and semi-structured datasets stored in cloud data warehouses and data lakes.
Optimize prompts, workflows, retrieval strategies, and model configurations to improve accuracy, latency, and cost efficiency.
Monitor, troubleshoot, and continuously improve production AI systems.
Contribute to AI governance, security, and responsible AI practices.
Document architectures, workflows, and technical implementations to support maintainability and knowledge sharing.
Stay current with emerging AI technologies, frameworks, and industry best practices.

Key skills and experience

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.

Please note, if you don't meet all the criteria but believe you have the skills and passion to thrive in this role, we encourage you to apply.

So, who are we and what do we do?

QS is the world leader in higher education services, analytics, insights and intelligence. From consultancy to student mobility, academic partnerships to branding solutions, our services power both institutional and individual success.

We’re behind the world’s most widely read university rankings (Meltwater 2023). Our QS World University Rankings® reach hundreds of millions, shaping decisions and guiding futures.

Since launching in 1990, our impact and influence have only grown. Today, we work with more than 2,000 of the world’s leading higher education institutions, over 12,000 employers, and governments seeking change and socioeconomic development through higher education.

Join QS and you’ll join an 800-strong community of problem-solvers, creators, collaborators and change-makers based in 40+ countries and 11
international offices, including Australia, Malaysia, India, Romania, Singapore, France, Germany, the USA and our headquarters in London.

With every talented new hire, business acquisition and bold initiative, we’re strengthening our reach and delivering even greater value to institutions and learners worldwide. Are you ready to shape the future of higher education?

We take investing in our people very seriously.

Outside of the standard benefits we also offer resources to allow professional growth and wellness initiatives to nurture a healthy mindset:

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

Like what you’ve heard? Great, apply now!

As a candidate, we know the application and interview process can be daunting and so it’s important that you have a great experience with us. Our dedicated Talent Team will work hard to ensure you are fully informed at all stages and you are really excited by this opportunity to do meaningful work in the education space.

Equal opportunities

QS Quacquarelli Symonds is proud to be a fair and equal organisation where everyone has the same opportunity to achieve their full potential, irrespective of their background or personal attributes. We celebrate our diversity and believe through sharing our experiences we can learn from one another, be stronger together, and enable our business to thrive.

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