Role Summary

The AI Acceleration (AIA) function within the Chief Marketing Office (CMO) is the single, business-led engine that owns the design, delivery, and scale-up of priority AI capabilities across Commercial. AIA works in tight collaboration with various Pfizer functions to deploy and maintain production-grade AI solutions that simplify how we work and drive measurable value across all processes.

As a Senior Manager, Full-stack Software Engineer, you will be involved in complex software development tasks in a hands-on manner. You will prototype code and participate in code reviews, facilitate breaking down user stories into technical tasks and help manage the process by which code is delivered. Your expertise will expand into Cloud technologies, full-stack software engineering, and DevOps.

Role Responsibilities

Develop complex end-to-end software products being involved in discussions from designing the systems to productionizing and deployment
Work closely with other Front-end and Backend engineers to integrate workflows end-to-end
Develop features and fix bugs as defined the product roadmap by working in an agile manner
Implement best practices for engineering standards, QA/Risk Management, CI/CD, MLOps
Work closely with cross-functional team of Product Owners, Data Scientists, Product Designers, UI/UX Developers, Scrum Masters and business stakeholders from across Pfizer to build end-to-end production solutions
Demonstrate a proactive approach to identifying and resolving potential system issues.
Contribute to the best practices of the team and help colleagues grow.
Communicate complex technical concepts and insights to both

Basic Qualifications

Bachelor's or Master's degree Computer Science, Engineering, or related field.
9+ years of experience in software development and architecture of various solutions
Strong application development knowledge of any of the following technologies: Python, JavaScript, Oracle, RDBMS, .Net, Java
Experience with one or more building cloud platforms such as AWS, Azure and GCP
Experience building Gen AI and Agentic AI application using technologies such as OpenAI, Gemini, Bedrock, LangGraph, LangChain, Vector DB, Embeddings would be an added advantage
Exposure to Data Engineering concepts and technologies such as PySpark, ETL, Databricks, Azure Data Fabric would be added advantage
Familiarity with DevOps and DevSecOps practices and technologies such as Docker, Kubernetes etc.
Engineering practice experience such as code refactoring, design patterns, design-driven development, continuous integration, building highly scalable applications, application security
Demonstrated track record of successfully understanding the business requirements and designing realistic and effective solutions
Knowledge of Agile software development process
Ability to clearly understand the business needs and translate them into best- in-class enterprise solutions

Preferred Qualifications:

Master's degree or PhD in Computer Science, Data Science, or related field.
Experience in pharmaceutical or healthcare technology environments.
Familiarity with compliance standards such as GxP, HIPAA, and data privacy regulations.
Demonstrated success in deploying AI or ML solutions in production environments.
Understanding of commercial analytics, medical content and scientific knowledge workflows

Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.

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