Platform AI Engineer – Market & Patient Access

Job Description We aspire to be the premier research-intensive biopharmaceutical company. At our company, we are at the forefront of research to deliver innovative health solutions that advance the prevention and treatment of diseases in people and animals. We are looking for a highly skilled AI Engineer to join our team, reporting directly to the Platform Delivery Lead, to spearhead the implementation of our AI-augmented engineering pipeline.

If you are a hands-on technologist passionate about integrating artificial intelligence into the software development lifecycle to maximize developer productivity, software quality, and delivery speed, this role is for you. Responsibilities Design, build, and implement an AI-augmented software engineering pipeline to drive automation and efficiency across the software development lifecycle (SDLC) Integrate Large Language Models (LLMs) and GenAI developer tools (e.g., coding assistants, automated testing generators) seamlessly into CI/CD pipelines and developer workflows Partner closely with the Platform Delivery Lead, architects, and agile delivery squads to understand engineering bottlenecks and deploy targeted AI solutions Develop AI-driven methods and processes in an Agile environment for automated code review, vulnerability scanning, test generation, and deployment automation Act as the technical Subject Matter Expert (SME) on AI capabilities, providing technical guidance, support, and enablement to internal and external engineers and testers on the squad Ensure all AI implementations strictly adhere to product quality, data security, privacy, and operability standards required in the biopharmaceutical industry Monitor, measure, and report on the impact and efficiency gains of AI tools within the delivery squads Maintain a strong, forward-looking understanding of emerging AI technologies, LLMs, and MLOps practices Continuously assess and refine the AI pipeline, evaluating new tools and market trends to ensure the organization remains on the cutting edge of IT delivery capabilities Assist the Delivery Lead in technical strategy planning, evaluating vendor technologies, and producing technical design artifacts Qualifications Required Background in Computer Science, Artificial Intelligence, Software Engineering, or a related technical field Proven hands-on experience in software engineering and IT delivery (3+ years), with a strong focus on AI integration or machine learning applications Expertise in at least one modern programming language (e.g., Python, Java, JavaScript/TypeScript) Demonstrated experience integrating Generative AI APIs, prompt engineering, and utilizing AI-assisted development tools (e.g., Gemini Code Assist, GitHub Copilot) Excellent problem-solving skills, with the ability to troubleshoot complex technical implementations critically and independently Exceptional communication skills, with the ability to convey complex AI and engineering concepts to both technical squad members and non-technical stakeholders Results-oriented with a proactive approach to experimenting with new technologies to drive projects forward Strong team collaboration skills and the ability to work cohesively under the direction of a Delivery Lead Familiarity with Software Engineering architectures and concepts Preferred Experience with the following technologies: Google Gemini Enterprise, GitHub Copilot, AWS, Databricks, and standard integration platforms Understanding of modern CI/CD tools, DevOps practices, and software development lifecycles Hands-on experience with system integration, RESTful APIs, data pipelines, and cloud architecture Understanding of commercial business processes in healthcare and the regulatory requirements around software delivery in the biopharma space Experience configuring and deploying MLOps pipelines and evaluating model performance/safety guardrails Experience working in a globally diverse, agile squad environment alongside external vendor teams Required Ski