Senior AI Solutions Tech Lead — Global Impact

Pfizer, S.A. de C.V; Hinoba-an; Hybrid; PHP 11,285,000 - 15,047,000; Full time

Job summary

Pfizer, Inc. is seeking a Senior Manager, AI Solutions Tech Lead to shepherd AI product delivery across internal and external teams. You will set engineering standards, drive important technical decisions, and maintain high-quality code through reviews and testing.

The role requires deep expertise in data engineering, ML/AI, and backend/full-stack work, with cloud experience and strong leadership to align diverse contributors across regions.

Qualifications

• Bachelor’s degree in a relevant field and 7+ years of hands-on AI/data/ software engineering.
• Experience leading teams of 10+ engineers and contractors.
• Fluency in Python and SQL; strong code writing ability.
• Experience with cloud analytics ecosystems (AWS, Snowflake) and modern data tooling.

Responsibilities

• Act as hands-on tech lead for AI product delivery across blended internal/external teams.
• Set and enforce engineering standards and release readiness across contributors.
• Drive technical decision-making with trade-off analysis for product owners and leadership.
• Ensure end-to-end solution quality with thorough testing and code reviews.
• Collaborate with product owners, engineering and data science teams, and external vendors.
• Stay current with emergent AI tech and foster team learning.

Skills

Python

SQL

Cloud computing

AWS

Snowflake

Airflow

dbt

MLOps/LLMOps

Leadership

Agile

English communication

Education

Bachelor’s degree in Computer Science, Data Science, Computer Engineering, Information Systems or related field

Advanced degree preferred

Tools

PyTorch/TensorFlow

Jira

Confluence

Job description

Pfizer, Inc. is seeking a Senior Manager, AI Solutions Tech Lead to shepherd AI product delivery across internal and external teams. You will set engineering standards, drive important technical decisions, and maintain high-quality code through reviews and testing.

The role requires deep expertise in data engineering, ML/AI, and backend/full-stack work, with cloud experience and strong leadership to align diverse contributors across regions.