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Tier-1 brand, popular full-stack role, mid-level experience range, metro location and broad AI/cloud skill requirements.
Core fullstack and AI skills are transferable, though pharmaceutical compliance and commercial analytics knowledge increases domain specificity.
Explicit 3–13 years requirement plus mandatory engineering, cloud, and DevOps/MLOps skills creates moderate shortlisting filters.
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Own end-to-end development, productionization, and deployment of complex AI-accelerated software products within Pfizer Commercial AI initiatives.
Collaborate cross-functionally with engineers, data scientists, product owners, and stakeholders to build scalable, production-grade AI/ML solutions.
Implement and uphold engineering best practices covering QA, CI/CD, MLOps, and DevOps environments to ensure robust delivery.
Bachelor's or Master's degree in Computer Science, Engineering, or related field.
3 to 13 years of experience in software development and solution architecture.
Proficiency in Python, JavaScript, Oracle, RDBMS, .Net, or Java and experience with cloud platforms like AWS, Azure, or GCP.
Experience or familiarity with building Gen AI/Agentic AI applications and DevOps tools such as Docker and Kubernetes is preferred.
Experienced full-stack engineer comfortable translating complex business requirements to practical AI-driven enterprise solutions in agile settings.
Familiar with pharmaceutical or healthcare technology sectors and compliance standards like GxP and HIPAA is a plus.
Practitioner of engineering best practices including scalable systems design, continuous integration, and secure code development.