Associate AI Engineer

Job Description Summary

Our team is growing and seeking a motivated, early-career Associate AI Engineer to help build the AI solutions that support our Health Economics and HTA Team.

Working under the guidance of senior engineers, the Associate AI Engineer will contribute to turning validated prototypes into production-grade AI tools, support the development of new prototypes with delivery teams, and help maintain the AI tools already in use.

The role offers hands-on experience across the full lifecycle of AI solutions, from retrieval and data extraction to drafting and quality control, applied to deliverables such as systematic literature reviews and evidence synthesis reports.

The Associate AI Engineer will work in an Agile team across geographies and functions and will build knowledge of the health economics and HTA domain on the job.

REQUIRED KNOWLEDGE

Solid foundations in Python and software engineering, and practical exposure to building applications with large language models (academic, personal or professional), are essential.

The role requires curiosity, attention to detail and the willingness to learn complex, document-heavy workflows.

Exposure to the healthcare sector or the pharmaceutical market is desirable.

RESPONSIBILITIES

Production Solutions

Contribute to rebuilding validated prototypes as production agents on our enterprise AI development platform, under the guidance of senior engineers

Implement components of reusable pipeline modules (retrieval, screening, data extraction, drafting and quality control)

Write tests and evaluation scripts and follow enterprise engineering standards

Prototyping

Support the build and refinement of AI workflows together with delivery teams

Support pilots on live projects and help measure the time saved

Support

Handle routine runs of AI tools already in use and document issues and fixes

Write and maintain technical documentation and user guides

Ways of Working

Work in Agile sprints, managing tickets in Jira

Raise merge requests for all changes and act on review feedback before anything ships

QUALIFICATIONS, EXPERIENCE, TECHNICAL AND PERSONAL SKILLS

Essential Qualifications

Bachelor’s degree in Computer Science, Computer Engineering, Electrical and Computer Engineering, Software Engineering, Informatics, Information Technology or Data Science

Essential Skills, Knowledge and Personal Behaviors

1–2 years of relevant experience in software engineering or AI/ML, including internships

Good Python programming skills with Git and basic software testing (e.g. pytest), with the ability to provide evidence of this (e.g. GitHub portfolio, thesis or project work)

Experience building at least one LLM application (e.g. a RAG prototype) and using LLM APIs (e.g. Azure OpenAI, Anthropic, AWS Bedrock)

Basic knowledge of relational databases and SQL (e.g. PostgreSQL)

Hands-on use of agentic AI tools for development and day-to-day work (e.g. GitHub Copilot, Cursor, Claude Code, Claude Cowork)

Fluent English and good technical writing and documentation skills

Good communication skills and ability to explain technical topics to non-technical colleagues

Good analytical and problem-solving skills and strong attention to detail

Eagerness to learn new tools and domains quickly and to act on feedback

Good team-based interpersonal skills but also an ability to work independently and manage time effectively

Desirable Skills and Experience

Master’s degree in Artificial Intelligence, Machine Learning or Data Science

Natural language processing and information extraction from unstructured documents (e.g. entity extraction, text classification)

Advanced RAG techniques (embeddings, vector stores, chunking, hybrid search), agent orchestration frameworks (e.g. LangGraph) and Model Context Protocol (MCP) servers

Building and consuming REST APIs (e.g. FastAPI), CI/CD, and integration and end-to-end testing

SQL data modelling and query optimization

Workflow automation (e.g. Python scripting, scheduled jobs, Power Automate)

Exposure to Agile delivery (sprints, Jira) with merge-request-based code review

Awareness of data protection requirements (e.g. GDPR) and responsible AI practice

R and Shiny (R or Python)

Docker and Linux

Exposure to evidence synthesis or health economics and outcomes research (HEOR), such as systematic literature reviews or indirect treatment comparisons

IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com

IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.

The potential base pay range for this role, when annualized, is €21,400.00 - €32,200.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.