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# Platform Engineer, Generative AI Infrastructure

- **Company:** Business Integration Partners USA Inc.
- **Location:** United States
- **Experience:** Expert
- **Salary:** $140,000.0 - $200,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Application Configuration Access Protocols, Computing Platforms, Big Data, Cloud Computing, DevOps, Disaster Recovery, Distributed Systems, Monitoring of Systems, Python (Programming Language), Machine Learning, NoSQL, Performance Tuning, Tensorflow, Scripting, Load Balancing, High Performance Computing, Pytorch, DevOps Tools - Open-source, System Availability, Generative AI, Containerization, Kubernetes, Hardware Infrastructure, Serverless Computing, Docker, Microservices
- **Published:** September 30, 2026
- **Apply:** https://www.thejobnetwork.com/job/9609f8a3-dfd8-4a61-a98f-477ef6004ece/senior-platform-engineer-generative-ai-infrastructure

## About the Role

We are seeking an experienced Senior Platform Engineer with 7-10+ years of experience to support the design, build, and operational management of infrastructure powering enterprise Generative AI applications. This role will focus on building and maintaining scalable environments that support AI-driven workloads across development, testing, and production., The ideal candidate will have strong experience in platform engineering, DevOps practices, containerized environments, and distributed systems, with the ability to support high-performance computing workloads and modern AI application stacks., * 7-10+ years of experience in platform engineering, DevOps engineering, infrastructure engineering, or similar technical roles.
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 * Proven experience designing and maintaining end-to-end platform environments from development through production.
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 * Strong understanding of hardware, software, networking, and application configuration dependencies.
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 * Experience working with CI/CD pipelines and DevOps tooling.
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 * Experience supporting containerized and distributed application architectures using technologies such as Docker and Kubernetes or similar orchestration platforms.
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 * Experience working with microservices, serverless architectures, or loosely coupled distributed systems.
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 * Familiarity with both cloud-based and on-premises infrastructure environments.
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 * Experience working with relational and NoSQL databases, object storage, or large-scale data environments.
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 * Strong scripting skills in Unix/Linux environments, including automation and scheduling tools.
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 * Experience implementing high availability, load balancing, and disaster recovery strategies.
\n, * Experience supporting AI, machine learning, or Generative AI infrastructure environments.
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 * Familiarity with Python-based application stacks and AI frameworks such as TensorFlow or PyTorch.
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 * Experience managing GPU-based compute environments, including resource scheduling and scaling.
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 * Experience with inference optimization, performance tuning, and infrastructure monitoring for AI workloads.
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 * Prior experience supporting high-performance computing or data-intensive environments.
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 * Experience working in financial services or other highly regulated enterprise environments.

## Description

This individual will work closely with engineering, data science, and platform teams to ensure reliable, scalable, and efficient infrastructure supporting the development and deployment of advanced AI solutions.


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