Chief AI Platform Engineer

Hybrid in Mexico

Cloud Native Development

Location-specific conditions & benefits*

Mexico

We are looking for a highly skilled and innovative Chief AI Platform Engineer to join our team.

In this role, you will design and implement large-scale AI/ML infrastructure to address complex challenges in healthcare and drug discovery. This position provides a unique opportunity to create advanced platforms that empower data scientists to deliver impactful solutions, driving global advancements in healthcare technology.

Responsibilities

Design and manage infrastructure and platforms to support the deployment and monitoring of machine learning solutions in production settings
Enhance system scalability and optimize performance to handle the demands of large-scale operations
Collaborate with data science teams to develop and implement sophisticated AI/ML workflows and environments on AWS
Work closely with R&D data scientists to operationalize machine learning models, pipelines, and algorithms
Oversee the full software engineering lifecycle, including architecture, development, testing, and maintenance
Lead the execution of technology projects from concept development through successful delivery
Modernize the technology stack by integrating the latest advancements in artificial intelligence and data processing
Manage enterprise-level platforms and services, addressing customer requirements and feature requests efficiently
Implement DevOps practices and utilize modern tools to streamline workflows and enhance automation processes
Scale MLOps environments to production-level standards and operational requirements
Ensure compliance with GxP standards when applicable

Requirements

At least 7 years of hands-on experience working with AWS cloud services, including expertise in SageMaker, Athena, S3, EC2, RDS, Glue, Lambda, Step Functions, EKS, and ECS
A minimum of 1 year of experience leading and managing development teams
Proficiency in infrastructure-as-code tools such as Terraform, Ansible, or CloudFormation
Strong programming skills in Python, with the ability to adapt to other programming languages as required
Experience with containerization and microservices architectures, utilizing platforms like Kubernetes or Docker
Comprehensive knowledge of Continuous Integration and Continuous Delivery pipelines, including tools like CodePipeline, CodeBuild, or CodeDeploy
Proven ability to manage large-scale enterprise platforms and address feature requests from end users
Hands-on experience with DevOps methodologies and tools, including Docker and Git
Familiarity with GxP compliance standards
Strong problem-solving, analytical, and communication skills

Nice to have

Experience designing large-scale data processing systems using technologies like Hadoop, Spark, or SQL
Proficiency with data science modeling tools and platforms, including R, Python, or Jupyter Notebooks
Understanding of multi-cloud environments, such as AWS, Azure, and GCP
Experience mentoring and supporting team members or clients in a professional capacity
Familiarity with SAFe Agile methodologies and practices

We offer/Benefits

International projects with top brands
Work with global teams of highly skilled, diverse peers
Healthcare benefits
Employee financial programs
Paid time off and sick leave
Upskilling, reskilling and certification courses
Unlimited access to the LinkedIn Learning library and 22,000+ courses
Global career opportunities
Volunteer and community involvement opportunities
EPAM Employee Groups
Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn