Senior Gen AI Platform Engineer

GSK; San Francisco (CA); On-site; USD 158,000 - 264,000; Full time

Benefits offered by this job

Health care

Retirement benefits

Paid holidays

Vacation

Parental leave

Job summary

GSK in San Francisco, CA is seeking a Senior GenAI Platform Engineer to lead the GenAI platform design and production-grade deployments across multi-tenant environments. You will co-design components and drive scalable Python code, collaborating with DataOps, Data Eng and ML teams to empower researchers with fast, reliable AI-enabled workflows.

The role requires 4+ years of software engineering, strong Python skills, and experience in API design; familiarity with LangGraph, Weaviate, Terraform,

Qualifications

• Bachelor’s, Master’s or PhD in Computer Science, Software Engineering, or related discipline.
• 4+ years of software engineering experience building production systems.
• Experience with Python proficiency in writing well instrumented, tested, and maintainable code.
• API design and developer experience focus and ability to collaborate with ML/security/product teams.

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.

Skills

Software engineering

Python

API design

Collaboration

LangGraph

Education

Bachelor's, Master’s or PhD in Computer Science or related

Tools

LangGraph

Weaviate

Terraform

Github Actions

Google Cloud Platform

Vertex AI

Job description

Purpose of Onyx

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

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 skilled Senior GenAI PlatformEngineer 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.


• 4+ years of software engineering experience building production systems


• Experience with Python proficiency in writing well instrumented, tested, and maintainable code


• API design and developer experience focus (versioning, SDKs, docs) and ability to collaborate with ML/security/product teams

Preferred Qualifications:

If you have the following characteristics, it would be a plus:

• Experience building platform for service-specific (e.g. Models, Agents, MCP services) lifecycle management involving development tools, CI/CD workflows, as well as API discovery, routing, authentication, observability


• Deep knowledge of integrating applications with LLMs and experience with an agent framework such as LangGraph


• Experience in operating production multi-tenant Vector DBs (e.g. Weaviate) and expertise with embedding/modeling best practices


• Experience with fine-tuning and/or optimized deployments of LLMs


• Experience with infrastructure-as-code and CI/CD tools (e.g. Terraform and Github Actions respectively)


• Google Cloud expertise, including and scalable cloud compute services, such as Google Batch and Vertex AI

Skills

AI Frameworks, Algorithm Optimization, Artificial Neural Networks (ANNS), Computer Programming, Deep Learning, Feature Engineering, Google Cloud Platform (GCP) for Machine Learning, Machine Learning Algorithms, Machine Learning Operations, Microsoft Azure Data and AI, ML Frameworks, Model Evaluation, Model Training, Model Validation, Performance Optimizations, Software Development Life Cycle (SDLC)

• If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $158,400 to $264,000. The US salary ranges take 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. If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process.

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 purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale.

People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.

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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.