Senior AI Platform Engineer, IQVIA
Health IT and clinical research company
Open for applications
Health IT and clinical research company
1001+ employees
Open for applications
1001+ employees
Company mission
To be a catalyst for innovation in healthcare, to drive healthcare forward every day, and make the extraordinary possible for patients.
Role
Who you are
- Significant experience designing, building, and operating large-scale AI, machine learning, or distributed computing platforms in enterprise environments
- Deep understanding of LLM architectures and their interaction with GPU infrastructure, including CUDA, cuDNN, NCCL, kernel-level acceleration libraries, and distributed training frameworks such as PyTorch
- Strong knowledge of distributed training and inference strategies, including tensor, pipeline, data, and expert parallelism approaches
- Experience optimising LLM inference workloads using technologies such as vLLM, TensorRT-LLM, NVIDIA NIM, SGLang, or similar high-performance serving frameworks
- Expertise in model optimisation techniques including quantisation, mixed precision training and inference (FP8, GPTQ, AWQ, LoRA), and performance tuning for large-scale model deployment
- Advanced experience profiling, troubleshooting, and optimising GPU workloads using tools such as NVIDIA Nsight, DCGM, and related ecosystem technologies
- Strong background in AWS cloud services, high-performance computing, distributed systems, containerised environments, and infrastructure automation
- Experience with workload orchestration technologies such as Slurm, Kubernetes, Ray, or equivalent distributed compute frameworks
- Demonstrated success bridging research and production environments, enabling rapid experimentation while maintaining operational excellence, governance, security, and reliability
- Proven ability to lead complex cross-functional initiatives, influence technical direction, and communicate effectively with engineering, research, product, and executive stakeholders
What the job involves
- The Senior AI Platform Engineer is responsible for defining and delivering the infrastructure strategy underpinning IQVIA's Large Language Model (LLM) programmes. This role provides technical leadership across compute, data, model lifecycle management, evaluation frameworks, and platform engineering, ensuring research innovations can be successfully transformed into secure, scalable, and production-ready AI solutions
- Acting as a key technical leader and cross-functional integrator, the Senior AI Platform Engineer partners with research, product, infrastructure, data engineering, and MLOps teams to design and operate the platforms required to train, evaluate, deploy, and govern large-scale AI systems across IQVIA products and healthcare use cases
- Own the AI platform and infrastructure roadmap, leading the planning and execution of LLM initiatives and translating research requirements into scalable engineering solutions
- Partner with centralised infrastructure teams to design and deliver high-performance compute environments across AWS and on-premises platforms, including GPU infrastructure, Slurm clusters, and migration from ad hoc research workflows
- Optimise LLM training and inference workloads, supporting research and product teams in maximising performance, scalability, and reliability across the infrastructure stack
- Establish and maintain model and data lifecycle capabilities, including dataset versioning, lineage tracking, reproducibility standards, and integration with model registries
- Lead the evolution of knowledge graph infrastructure, driving technology selection, migration strategies, performance optimisation, and integration with AI workflows
- Serve as the primary technical coordination point across AI Research, Data Engineering, MLOps, Product, and Infrastructure teams, resolving dependencies and prioritising activities critical to delivery
- Provide technical leadership for vendor selection, procurement, and technology partnerships, advising on compute architectures, GPU specifications, AI platforms, and integration approaches
- Define platform engineering standards, governance, and best practices while mentoring engineers and promoting operational excellence across AI and platform teams
Salary benchmarks
Our take
IQVIA is a world leader in analytics and clinical research in the life sciences sector. Formed from a merger between IMS Health and Quintiles, it has over 40 years of experience in the sector, growing to become one of the world’s largest contract research organisations, with a network spanning more than 100 countries.
Since its founding, IQVIA has outperformed the market and is focusing on expanding biosimilar firms such as Humira. Humira provides generic drugs from existing medications without needing further data analysis. However, IQVIA’s involvement in new areas of research is likely to offset this trend.
With global medicine spending on track to reach £2.6 trillion by 2030, IQVIA is focusing its efforts on oncology and immunology, the most profitable sectors in pharmaceutical development. It is also building out its technological infrastructure, with a particular focus on artificial intelligence. While it is frank about the limitations of this technology within the sector, it greatly augments the data-handling capabilities of health science teams. Development in this sector is key to IQVIA’s growth plans, which are on track with Q1 2026 seeing an 8.4% increase in year-on-year revenue.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
7% employee growth in 12 months
Company
Funding (1 round)
Jun 2013
$1m
GRANT
Total funding: $1m
Company benefits
- Medical, dental and vision coverage
- Telemedicine
- Critical illness coverage
- Prescription coverage
- Disability, accidental death, pet and life insurance
- Employee Assistance Programs
- Mental health support
- Well-being programs and events
- Flexible work environment
- Time off for leisure, personal time and corporate holidays
- Parental leave for birth or adoption
- Paid leave for other life matters (i.e., illness, bereavement, jury duty, military service, etc.)
- Training systems
- AI talent marketplace tool
- Leadership training programs
- Employee recognition programs
- Mentorship programs
- Service awards
- Tuition reimbursement
- Paid volunteer day
- Donation matching
- Employee resource groups
- Office events
- Environmental commitments
- UN Global Impact member
- Retirement and savings plans
- Identity theft protection
- Commuter benefits
Company HQ
Research Triangle, Durham, NC
Leadership
Ari Bousbib
(CEO & Chairman)Was previously CEO of IMS Health, one of the parent companies of IQVIA. Before that held senior leadership positions at United Technologies Company, including COO of Otis and eventually becoming President of the UTC group with responsibility for 150,000 employees.
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