Principal AI Platform Engineer (AI)

TL;DR

Principal AI Platform Engineer (AI): Designing and evolving enterprise-scale Data and AI platforms with an accent on experimentation, training, and multi-tenant high-availability architectures. Focus on GPU/CPU cost optimization, MLOps pipelines, and the integration of agentic systems with RAG and LLM serving.

Location: Remote, Spain

Company

hirify.global is a digital transformation accelerator and part of the EPAM group, providing Cloud, Data, and AI engineering solutions through a strong Nearshore model.

What you will do

• Define and evolve the target architecture and roadmap for enterprise-scale Data and AI platforms.
• Design and build multi-tenant, multi-region, highly available AI platforms with governance and guardrails.
• Collaborate with product management to define platform vision, backlogs, OKRs, and self-service "golden paths".
• Lead capacity planning and cost optimization for GPU and CPU workloads.
• Integrate AI platforms with enterprise data ecosystems for governed and scalable ML pipelines.
• Act as a technical leader, translating complex platform concepts into value propositions for senior stakeholders.

Requirements

• Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or a quantitative field.
• Proven experience as a platform or infrastructure engineer supporting ML/AI at scale.
• Hands-on experience with Domino Data Lab.
• Strong experience with AWS, EKS (including GPU workloads), and Python development.
• Proficiency in Infrastructure as Code (Terraform/CloudFormation) and MLOps practices.
• Experience with LLM serving, RAG architectures, vector databases, and agentic systems.
• Must be based in Spain.

Nice to have

• Experience with Apache Spark and large-scale data processing platforms.
• Familiarity with GxP or regulated environments.
• Experience collaborating with cybersecurity and data privacy teams.
• Exposure to AIOps practices and advanced observability tooling.
• Cloud or Kubernetes-related certifications.

Culture & Benefits

• Permanent contract with a competitive salary.
• Flexible working model with remote work options.
• Personalized career path and continuous learning including certifications and English training.
• Participation in stable, long-term projects with high technical complexity.
• Flexible working hours and a strong focus on work-life balance.
• Tailored social benefits package.