AI & Data Science Office brings together data science, advanced analytics, and AI expertise across IQVIA's international markets.
We work with Commercial Solutions teams to transform business needs into scalable solutions that improve client offerings, operational efficiency, and decision-making. Our work spans advanced analytics, machine learning, AI, Generative AI (GenAI), and agentic AI, supported by healthcare data, engineering, and domain expertise.
We connect global innovation with local market needs, accelerate the reuse of proven solutions, and establish shared methodologies, models, and architectural standards across teams and geographies.
About the RoleWe are seeking an experienced Senior AI Solutions Engineer to design, develop, evaluate, and deploy AI, machine learning, GenAI, and agentic AI solutions that address complex business and client challenges.
Working closely with business stakeholders, data scientists, and technology teams, you will identify opportunities where AI can create measurable value and translate them into practical, production-ready solutions.
From proof of concept to deployment and adoption, you will play a key role in shaping AI capabilities across IQVIA's international markets.
Key Responsibilities- Design, develop, evaluate, and deploy AI, machine learning, GenAI, and agentic AI solutions.
- Translate business requirements into scalable technical solutions and implementation plans.
- Build intelligent workflows leveraging machine learning models, LLMs, enterprise data, APIs, and agentic frameworks.
- Develop solutions involving RAG, semantic search, knowledge discovery, intelligent automation, and decision support.
- Define evaluation approaches to assess solution quality, performance, business impact, and risk.
- Partner with business, analytics, and technology teams throughout the solution lifecycle.
- Transform successful proofs of concept into reusable, production-ready capabilities.
- Integrate AI solutions with enterprise platforms, data sources, and analytical products.
- Apply best practices in software engineering, MLOps, LLMOps, security, governance, and documentation.
- Contribute to reusable frameworks, methodologies, standards, and best practices.
- Support adoption of AI capabilities across markets and business units.
- Evaluate emerging AI technologies and identify opportunities to create business value.
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
- Experience designing and deploying AI, machine learning, advanced analytics, or GenAI solutions in production environments.
- Strong understanding of AI, machine learning, Generative AI, LLMs, prompt engineering, and agentic AI concepts.
- Experience building solutions using modern AI frameworks and tools.
- Knowledge of RAG, vector databases, semantic search, and knowledge retrieval techniques.
- Experience integrating AI solutions with enterprise systems, APIs, and cloud platforms.
- Strong software engineering and solution development skills.
- Understanding of AI governance, evaluation, monitoring, security, and compliance practices.
- Ability to communicate technical concepts to both technical and non-technical stakeholders.
- Experience building AI-powered products or client-facing AI solutions.
- Familiarity with orchestration frameworks, AI agents, and multi-agent systems.
- Experience working with structured and unstructured enterprise data.
- Knowledge of predictive analytics, machine learning, and advanced analytics methodologies.
- Knowledge of Responsible AI, model governance, compliance, and risk management.
- Experience in healthcare, life sciences, commercial analytics, or consulting environments.
- Familiarity with MLOps and LLMOps practices.
- Passion for applying AI technologies to real-world business challenges.
- A builder's mindset and ability to move from concept to deployment.
- Curiosity about emerging technologies and continuous learning.
- Strong collaboration and stakeholder management skills.
- Focus on delivering practical, scalable, and measurable business outcomes.
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 243 900,00 zł - 452 800,00 zł. 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.Skills Required
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
- Experience designing and deploying AI, machine learning, advanced analytics, or Generative AI solutions in production environments.
- Strong understanding of AI, machine learning, Generative AI, LLMs, prompt engineering, and agentic AI concepts.
- Experience building solutions using modern AI frameworks and tools.
- Knowledge of RAG, vector databases, semantic search, and knowledge retrieval techniques.
- Experience integrating AI solutions with enterprise systems, APIs, and cloud platforms.
- Strong software engineering and solution development skills.
- Understanding of AI governance, evaluation, monitoring, security, and compliance practices.
- Ability to communicate technical concepts to technical and non-technical stakeholders.
- Experience building AI-powered products or client-facing AI solutions.
- Familiarity with orchestration frameworks, AI agents, and multi-agent systems.
- Experience working with structured and unstructured enterprise data.
- Knowledge of predictive analytics, machine learning, and advanced analytics methodologies.
- Knowledge of Responsible AI, model governance, compliance, and risk management.
- Experience in healthcare, life sciences, commercial analytics, or consulting environments.
- Familiarity with MLOps and LLMOps practices.
IQVIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about IQVIA and has not been reviewed or approved by IQVIA.
-
Healthcare Strength — Healthcare coverage is positioned as comprehensive, spanning medical/dental/vision plus programs like telemedicine, EAP resources, and additional insurance options. Feedback suggests the health offering is a meaningful part of the overall rewards package, though details can vary by location and plan design.
-
Retirement Support — Retirement benefits include an employer match structure that supports employee contributions through a defined formula. This adds steady long-term value to total rewards beyond base salary.
-
Leave & Time Off Breadth — Time off offerings include vacation/paid time off, holidays, and flexibility themes, with some roles described as having discretionary or unlimited time-off models. This can make the package feel more attractive even when cash compensation is viewed as only mid-range.
IQVIA Insights
What We Do
IQVIA (NYSE:IQV) is a leading global provider of advanced analytics, technology solutions, and clinical research services to the life sciences industry. IQVIA creates intelligent connections across all aspects of healthcare through its analytics, transformative technology, big data resources and extensive domain expertise. IQVIA Connected Intelligence™ delivers powerful insights with speed and agility — enabling customers to accelerate the clinical development and commercialization of innovative medical treatments that improve healthcare outcomes for patients. With approximately 70,000 employees, IQVIA conducts operations in more than 100 countries. To learn more, visit www.iqvia.com.
