GSK · 1 month ago
Senior Gen AI Platform Engineer
GSK is a global biopharma company focused on uniting science, technology, and talent to advance health. The Senior Gen AI Platform Engineer will contribute to the development of first-in-class GenAI capabilities, collaborating with various teams to enhance data experiences and accelerate medical discovery.
BiotechnologyHealth CarePharmaceutical
Responsibilities
Serve as a key engineer for the GenAI platform and contribute technical expertise to teams in closely aligned technical areas such as AIML Platform, DevOps, Compute and Cloud
Co-design major software components of the GenAI Platform and contribute to development of production code in Python and participate in both design reviews and PR reviews
Accountable for key component(s) of GenAI Platform with particular focus on usability, reproducibility and performance at scale
Integrate with DataOps, and Data Engineering products for best performance and ease of use in ML training at scale
Participate in scrum teams and contribute technical expertise to teams in closely aligned technical areas
Able to design innovative strategies and ways of working to create a better environment for the end users
Standard bearers for proper ways of working and engineering discipline, including CI/CD best practices and proactively contribute to improvements within your engineering area
Qualification
Required
Bachelor's, Master's or PhD degree in Computer Science, Software Engineering, or related discipline
5+ years of experience in industry experience in software engineering
Preferred
Deep knowledge and use of Python programming language including toolchains for documentation, testing, and operations / observability
Deep expertise in modern software development tools / ways of working (e.g. git/GitHub, DevOps tools, metrics / monitoring, …)
Cloud expertise (e.g., AWS, Google Cloud, Azure), including infrastructure-as-code tools (Terraform, Ansible, Packer, …) and scalable cloud compute technologies, such as Google Batch and Vertex AI
Hands-on experience with large-scale LLM training and optimized deployments
Hands-on experience with frameworks for building agentic AI systems, such as Langgraph, Langchain and utilizing them in building end-to-end multi-agent applications
Deep hands-on experience with ML frameworks such as PyTorch or TensorFlow as well as external libraries such as Huggingface and/or Deepspeed
Experience with ML application performance tuning and optimization, both for ML training and inference/deployment, including large scale multi-GPU, and/or multi-TPU multi-node distributed training for large models such as LLMs
Experience with CI/CD implementations using git and a common CI/CD stack (e.g., Azure DevOps, CloudBuild, Jenkins, CircleCI, GitLab)
Experience in ML workflow orchestration and pipelines with tools such as Vertex Pipelines, MLFlow, etc
Experience with MLOps tools and model deployments (including LLMs) such as Kubeflow, Vertex AI Predictions, vLLM, Ollama
Deep expertise with Docker, Kubernetes, and the larger CNCF ecosystem including experience with application deployment tools such as Helm
Benefits
Health care and other insurance benefits (for employee and family)
Retirement benefits
Paid holidays
Vacation
Paid caregiver/parental and medical leave
Company
GSK
We are uniting science, technology and talent to get ahead of disease together. Our community guidelines: https://gsk.to/socialmedia
H1B Sponsorship
GSK has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (45)
2024 (56)
2023 (54)
2022 (53)
2021 (54)
2020 (72)
Funding
Current Stage
Public CompanyTotal Funding
$25.51MKey Investors
CARB-X
2021-03-02Grant· $18M
2020-09-23Grant· $7.51M
1978-01-13IPO
Recent News
2026-01-16
2026-01-13
South China Morning Post
2026-01-08
Company data provided by crunchbase