GenAI Platform Engineer II

Company: GlaxoSmithKline
Location: Washington
Posted on: May 16, 2025

Job Description:

The Onyx Research Data Tech organization is GSK's Research data ecosystem which has the capability to bring together, analyze, and power the exploration of data at scale. We partner with scientists across GSK to define and understand their challenges and develop tailored solutions that meet their needs. The goal is to ensure scientists have the right data and insights when they need it to give them a better starting point for and accelerate medical discovery. Ultimately, this helps us get ahead of disease in more predictive and powerful ways.Onyx is a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML, GenAI, and analysis platforms, all geared toward:

• Building a next-generation, metadata- and automation-driven data experience for GSK's scientists, engineers, and decision-makers, increasing productivity and reducing time spent on "data mechanics".
• Providing best-in-class AI/ML, GenAI, and data analysis environments to accelerate our predictive capabilities and attract top-tier talent.
• Aggressively engineering our data at scale, as one unified asset, to unlock the value of our unique collection of data and predictions in real-time.At GSK we see a world in which advanced applications ofAI and GenAI will allow us to develop transformational medicines using the power of genetics, functional genomics, andmachinelearning. AI will also play a role in how we diagnose and use medicines to enable everyone to do more, feel better, and live longer. It is an ambitiousvisionthat will require the development of products at the cutting edge ofAI and MachineLearning. We're looking for a highly skilledGenAI PlatformEngineerII to help us make thisvisiona reality.Our GenAI Engineering team is focused on developing first-in-class GenAI capabilities at scale, including complex agent architectures, LLM training, optimized LLM deployments and end-to-end production-grade multi-agent applications that impact all R&D teams at GSK.The GenAIteam is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we're motivated to make this a great place to work. Our leaders will be committed to your career from day one, supporting individuals in dedicating 20% of their time towards personal development.Key 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.Why You?Basic Qualifications:We are looking for professionals with these required skills to achieve our goals:
    • Bachelor's, Master's or PhD degree in Computer Science, Software Engineering, or related discipline.
    • 3+ years of experience in industry experience in software engineeringPreferred Qualifications:If you have the following characteristics, it would be a plus:
      • 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
      • Experience with High-Performance Computing (HPC) at both at software stack as well as hardware level and understanding performance within the HPC systems
      • Deep familiarity with the tools, techniques, optimizations in AIML and AIML Platform/MLOps space, including engagement with the open-source community (and potentially making contributions to such tools)
      • Demonstrated excellence with agile software development environments using tools like Jira and Confluence#GSKOnyx #LI-GSKThe annual base salary for new hires in this position ranges from $132,825 to $221,375 taking into account a number of factors including work location within the US market, the candidate's skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave.Please visit to learn more about the comprehensive benefits program GSK offers US employees.Why GSK?Uniting science, technology and talent to get ahead of disease together.GSK is a global biopharma company with a special purpose - to unite science, technology and talent to get ahead of disease together - so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns - as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology).Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it's also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves - feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together.If you require an accommodation or other assistance to apply for a job at GSK, please contact the GSK Service Centre at 1-877-694-7547 (US Toll Free) or +1 801 567 5155 (outside US).GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.Important notice to Employment businesses/ AgenciesGSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at
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Keywords: GlaxoSmithKline, Harrisburg , GenAI Platform Engineer II, Engineering , Washington, Pennsylvania