Staff Platform Engineer, AI/ML Infrastructure
Pubblicato il 18-09-2026 - Pfizer in Catania
Overview In this role you will provide technical leadership for Pfizer’s AI/ML infrastructure, shaping cloud platforms and deployment foundations to power enterprise-scale generative AI apps. You will define patterns and standards across AWS/Kubernetes/serverless environments, focusing on reliability, scalability, observability, CI/CD, security, and developer enablement. You will collaborate with software, AI engineering, security, and operations teams to raise platform maturity. This is a hands-on, architecturally influential position with a strong emphasis on cross-team impact and platform-wide consistency.
Responsabilità
- Define and drive the technical strategy for AI/ML platform infrastructure supporting generative AI applications, LLM integrations, model routing, and enterprise AI services
- Architect, build, and operate scalable cloud platforms using AWS services such as EKS, ECS Fargate, Lambda, DynamoDB, S3, OpenSearch, Secrets Manager, CloudWatch, ALB, and MWAA
- Establish reusable infrastructure patterns using CloudFormation, Helm,
and Terraform for multi-environment/multi-region deployments
- Lead CI/CD architecture with GitHub Actions, reusable workflows, OIDC-based AWS authentication, automated quality gates, deployment promotion, and environment approvals
- Design and improve observability across AI platforms (CloudWatch, logs, Prometheus/Grafana, OpenSearch, Langfuse, and LLm metrics); build GenAI workload monitoring
- Partner with software engineering teams to improve deployment reliability, rollback strategies, health checks, autoscaling, load testing, and runtime performance
- Define and enforce security/compliance practices for infrastructure (IAM boundaries, Secrets Manager, secret scanning, audit logging, tagging, change-management)
- Provide technical leadership for cost optimization, capacity planning, environment standardization, and resilience across environments
- Mentor engineers, review architecture and infrastructure designs, influence