Role Overview
As an AI Engineer 2, you will play a pivotal role in designing and deploying Agentic AI frameworks, Cognitive Automation systems, and Generative AI solutions. You will own the end-to-end lifecycle of agentic architectures, from design to production deployment, ensuring scalability, reliability, and business impact. This role requires a strong foundation in software engineering principles, combined with expertise in AI model development and integration.
Key Responsibilities
Architect, build, and deploy Agentic AI frameworks that enable autonomous decision-making and task execution.
Develop and implement Cognitive Automation solutions to streamline workflows and enhance productivity.
Design and deliver Generative AI applications for diverse use cases, ensuring responsible and ethical AI practices.
Own the full lifecycle of AI solutions: data preparation, model training/customization, evaluation, deployment, and monitoring.
Collaborate with cross-functional teams to integrate AI systems into production environments.
Apply advanced software engineering practices (DSA, design patterns, SOLID principles) to ensure maintainable and scalable solutions.
Continuously research and adopt emerging AI technologies to strengthen product capabilities.
Qualifications
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
Proven experience in deploying Agentic AI solutions in production environments.
Strong programming skills in Python; proficiency in SQL and software engineering best practices.
Solid understanding of data structures, algorithms, design patterns, and SOLID principles.
Hands-on experience with cloud platforms (preferably Azure) and distributed systems.
Familiarity with machine learning frameworks (PyTorch, TensorFlow, Scikit-learn).
Strong problem-solving skills and ability to work in collaborative, fast-paced environments.
Preferred Skills
Experience with MLOps practices for continuous integration and deployment of AI models.
Knowledge of reinforcement learning, generative models, or multi-agent systems.
Exposure to large-scale data processing frameworks (Spark, Hadoop).
Strong communication skills to articulate technical concepts to diverse stakeholders.
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.
Skills Required
- Bachelor's or Master's degree in Computer Science, Engineering, or related field
- Proven experience deploying Agentic AI solutions in production
- Strong programming skills in Python
- Proficiency in SQL
- Solid understanding of data structures, algorithms, design patterns, and SOLID principles
- Hands-on experience with cloud platforms (preferably Azure) and distributed systems
- Familiarity with machine learning frameworks (PyTorch, TensorFlow, Scikit-learn)
- Strong problem-solving skills and ability to work in collaborative, fast-paced environments
- Experience with MLOps practices for CI/CD of AI models
- Knowledge of reinforcement learning, generative models, or multi-agent systems
- Exposure to large-scale data processing frameworks (Spark, Hadoop)
- Strong communication skills to articulate technical concepts to diverse stakeholders
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.
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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.
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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.
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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.
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