AI Solutions Engineer

QS Quacquarelli Symonds

14h • Remote

About The Position

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.

Requirements

• 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.

Nice To Haves

• 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.

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.

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed