GenAI Platform Engineer II
Company: Women In Bio
Location: Seattle
Posted on: May 21, 2025
Job Description:
Purpose of OnyxThe 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 of AI and GenAI will allow us to develop
transformational medicines using the power of genetics, functional
genomics, and machine learning. 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 ambitious vision that will
require the development of products at the cutting edge of AI and
Machine Learning. We're looking for a highly skilled GenAI Platform
Engineer II to help us make this vision a 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
GenAI team 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 GSK US
Benefits Summary 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 https://openpaymentsdata.cms.gov/
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Keywords: Women In Bio, Renton , GenAI Platform Engineer II, Engineering , Seattle, Washington
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