AI Architect designing and scaling core operator intelligence layer for foundation models at Vinci. Engaging in architectural ownership and shipping capabilities into production environments.
About the role
- Senior engineer responsible for architecting and scaling Pfizer’s AI infrastructure. Collaborating on cloud engineering, DevOps, and MLOps for biotech and healthcare solutions.
Responsibilities
- Design, implement, and own large-scale cloud-based HPC and MLOps platforms supporting AI model training, genomic sequencing, and precision medicine.
- Architect multi-environment clusters (AWS, GCP, Azure), enabling GPU/FPGA workloads and advanced observability.
- Lead the development of developer and cloud platforms, including internal engineering accelerators and reusable toolsets.
- Develop custom plugins and APIs for Backstage to support internal engineering workflows and documentation.
- Build and maintain Python-based automation frameworks, CI/CD pipelines, and Infrastructure-as-Code (Terraform, Helm, Pulumi, AWS CDK).
- Lead the implementation of Service Level Indicators (SLIs), Service Level Objectives (SLOs), and advanced observability (Prometheus, Grafana, PagerDuty).
Requirements
- 7+ years of hands-on software engineering experience in cloud infrastructure, DevOps, and MLOps.
- Deep expertise in Python, Kubernetes, Terraform, Helm, and CI/CD pipeline development.
- Proven experience architecting and operating containerized solutions on AWS, GCP, and Azure.
- Strong knowledge of Infrastructure-as-Code, distributed systems, and production system reliability.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
Benefits
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Professional development opportunities
Job title
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Experience level
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Not specified
Degree requirement
Tech skills
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