Chief AI Platform Engineer

Hybrid in Mexico

Cloud Native Development

Location-specific conditions & benefits*

Mexico

We are looking for an experienced and innovative Chief AI Platform Engineer to join our team.

In this role, you will be responsible for designing and implementing large-scale AI/ML infrastructure to address complex challenges in healthcare and drug discovery. This position offers a unique opportunity to build advanced platforms that empower data scientists to create impactful solutions, driving advancements in global healthcare innovation.

Responsibilities

Design and manage infrastructure and platforms to support the deployment and monitoring of machine learning solutions in production environments
Enhance system scalability and optimize performance to handle the demands of large-scale operations
Collaborate with data science teams to develop and deploy advanced AI/ML workflows and environments on AWS
Work closely with R&D data scientists to operationalize machine learning models, pipelines, and algorithms
Oversee the entire software engineering lifecycle, including architecture, development, testing, and maintenance
Lead technology initiatives from concept development through to successful delivery and implementation
Upgrade the existing technology stack by integrating advancements in artificial intelligence and data processing
Manage enterprise-level platforms and services, addressing customer needs and feature requests effectively
Implement DevOps practices and modern toolchains to improve automation and streamline workflows
Scale MLOps environments to meet production-grade standards and operational requirements
Ensure systems meet GxP compliance standards when required

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 managing and leading development teams
Proficiency in infrastructure-as-code tools such as Terraform, Ansible, or CloudFormation
Strong programming expertise in Python, with the ability to work with other programming languages as needed
Experience with containerization and microservices architectures using platforms like Kubernetes or Docker
In-depth knowledge of Continuous Integration and Continuous Delivery pipelines, including tools like CodePipeline, CodeBuild, or CodeDeploy
Proven experience managing large-scale enterprise platforms and addressing feature requests from end users
Practical experience with DevOps tools and methodologies, 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 pipelines using technologies like Hadoop, Spark, or SQL
Proficiency in data science modeling tools and platforms, such as R, Python, or Jupyter Notebooks
Understanding of multi-cloud environments, including AWS, Azure, and GCP
Experience mentoring and supporting team members or clients in a professional capacity
Familiarity with SAFe Agile frameworks and methodologies

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