Senior Gen AI Platform Engineer

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. We are looking for a highly skilled Senior GenAI Platform Engineer 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. 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. Basic Qualifications 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 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 scalable cloud compute services, such as Google Batch and Vertex AI. • 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. 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. #J-18808-Ljbffr National Society for Black Engineers