We are seeking an accomplished **Chief AI Platform Engineer** to lead the development and management of advanced systems that empower stream-aligned teams to deliver secure, scalable, and high-performing AI-driven solutions.
In this role, you will establish strategic direction for the platform, shape cross-functional collaboration, and drive production-grade deployment of machine learning models at scale. Additionally, you will spearhead innovation by evaluating and integrating emerging technologies.
**Responsibilities**
- Define and execute the architectural strategy for scalable backend systems leveraging MLFlow, Kubernetes, Databricks, and Docker
- Lead the development of high-performance APIs tailored for advanced data processing and seamless machine learning model integration
- Set vision for large-scale operationalization and deployment of machine learning models, leveraging MLFlow frameworks and best practices
- Establish organizational strategies to deliver scalable, robust, and reusable cloud-based infrastructures
- Drive the creation of sophisticated automated cloud configuration workflows optimized for large-scale environments
- Oversee cross-domain optimizations to enhance systems, processes, and tools for advanced functionality
- Provide authoritative guidance on cloud architecture in areas such as automation, orchestration, security, resilience, and operability
- Ensure continuous alignment of cloud platform initiatives with long-term business priorities and evolving technological demands
- Guide executive-level discussions and build consensus among diverse technical and business stakeholders for impactful delivery outcomes
- Cultivate organizational talent by mentoring mid-level engineers and data scientists in leveraging complex frameworks and tools




- Lead evaluations and integration of cutting-edge products, services, and technologies for enhanced platform capability
- Encourage collaboration and inspire innovation by setting the tone in ceremonies, strategic discussions, and retrospectives
- Act as the highest escalation authority during major incident responses, influencing long-term improvements to system reliability
- Shape mitigation strategies for risks and navigate technical complexities while driving communication of outcomes across stakeholders
- Maintain keen foresight on technological trends to anticipate industry shifts and inform critical strategy development
**Requirements**:
- Bachelor’s degree in Computer Science, Software Engineering, or a related field; a Master’s degree is preferred
- 7+ years of experience architecting and managing highly available, scalable infrastructure, solutions, and services in complex environments
- At least 2 years of experience in a technical leadership role directing engineering or platform teams
- Proven mastery of leading Cloud (IaaS, PaaS, SaaS) services and solutions across major providers
- Expert-level proficiency in programming languages such as Python and modern JVM languages including Java, Scala, or Kotlin
- Deep expertise in all stages of machine learning workflows, including advanced algorithms, frameworks like TensorFlow, PyTorch, or scikit-learn, and production-scale deployment




- Extensive experience in distributed data processing frameworks such as Apache Spark, with strong proficiency in Delta Lake and Parquet formats
- Expert knowledge of agile methodologies and enterprise-level CI/CD processes using tools like GitLab, Terraform, or similar platforms
- Established track record of architecting and managing machine learning models at scale within mission-critical production environments
- Advanced competency in data structures, algorithmic problem-solving, and principles of enterprise-scale system design
- Exceptional proficiency in notebook-based workflows using tools like Jupyter or Databricks for large-scale data experimentation
- AWS Certified Solutions Architect Professional or comparable elite-level cloud architecture certifications
- Excellent analytical and strategic communication skills with the ability to influence diverse audiences, from technical talent to senior executives
- Fluent English proficiency at a minimum of C1 level to drive collaboration across general, multidisciplinary teams
**Nice to have**
- Proven hands-on experience across the extended AWS ecosystem, including AWS S3, EC2, RDS, EMR, RedShift, Glue, Sagemaker, Lambda, DynamoDB, and CloudWatch
- Expert familiarity with Apache Parquet and data lake transformation workflows utilizing next-generation solutions
**We offer**
- Career plan and real growth opportunities
- Unlimited access to LinkedIn learning solutions
- Constant training, mentoring, online corporate courses, eLearning and more
- English classes with a certified teacher
- Support for employee’s initiatives (Algorithms club, toastmasters, agile club and more)
- Enjoyable working environment (Gaming room, napping area, amenities, events, sport teams and more)
- Flexible work schedule and d

📌 Chief Ai Platform Engineer (México)
🏢 Epam Systems
📍 México