Description
IQVIA's AI & Data Science Office is 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.
The successful candidate will work closely with business stakeholders, data scientists, and technology teams to identify opportunities where AI can create measurable value and translate them into practical, production-ready solutions.
Key responsibilities include:
- Designing, developing, evaluating, and deploying AI, machine learning, GenAI, and agentic AI solutions
- Translating business requirements into scalable technical solutions and implementation plans
- Building intelligent workflows leveraging machine learning models, LLMs, enterprise data, APIs, and agentic frameworks
- Developing solutions involving RAG, semantic search, knowledge discovery, intelligent automation, and decision support
- Defining evaluation approaches to assess solution quality, performance, business impact, and risk
- Partnering with business, analytics, and technology teams throughout the solution lifecycle
- Transforming successful proofs of concept into reusable, production-ready capabilities
- Integrating AI solutions with enterprise platforms, data sources, and analytical products
- Applying best practices in software engineering, MLOps, LLMOps, security, governance, and documentation
- Contributing to reusable frameworks, methodologies, standards, and best practices
- Supporting adoption of AI capabilities across markets and business units
- Evaluating emerging AI technologies and identifying opportunities to create business value
The ideal candidate will have:
- A 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
Preferred qualifications include:
- 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
In return, you will have the opportunity to work on challenging projects, collaborate with talented professionals, and contribute to the development of innovative AI solutions.