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# Principal Software Platform Engineer | MLOps & AI Infrastructure in United

- **Company:** Energy Jobline
- **Location:** Carbon, WV, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Computing Platforms, Automation of Tests, Cloud Computing, Software Quality, Continuous Integration, Distributed Systems, Python (Programming Language), Machine Learning, Release Management, Reliability Engineering, Software Deployment, Software Engineering, TypeScript, AI Infrastructure, Retrieval-Augmented Generation, Delivery Pipeline, Large Language Models, Backend, Machine Learning Operations, Virtual Agents, Api Design, Software Coding
- **Published:** October 20, 2026
- **Apply:** https://www.energyjobline.com/job/principal-software-platform-engineer-mlops-ai-infrastructure-united-32011241

## About the Role

* 10+ years of software engineering and cloud infrastructure experience.
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 * Proven success designing and scaling distributed, cloud- systems in production.
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 * Experience serving as a technical lead, architect, or principal-level engineer responsible for major architectural decisions.
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 * Deep hands-on experience building and operating AI/ML infrastructure at scale.
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 * Strong knowledge of modern LLM architectures and production deployment patterns, including retrieval-augmented (RAG), prompt lifecycle management, embeddings, and tool integration.
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 * Advanced coding skills in Python and TypeScript, with a strong focus on backend services and API development.
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 * Experience with model lifecycle management, deployment workflows, and model-serving infrastructure.
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 * Strong understanding of software quality, automated testing, release management, and CI/CD practices.
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 * Familiarity with cloud- technologies including AWS, containers, and infrastructure-as-code tooling.
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 * Experience designing secure multi-tenant systems and handling sensitive or regulated data.
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 * Expertise in monitoring, observability, reliability engineering, and service-level management.
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 * Excellent communication skills with the ability to influence technical direction across multiple teams.
\n, Applicants must be authorized to work in the United States. Sponsorship is not available for this position.

## Description

A high-growth technology company is seeking a Principal Software Platform Engineer to own the architecture, scalability, and operational excellence of a next- AI and machine learning platform. This is a rare opportunity to shape the foundation that enables complex AI workloads to run securely, reliably, and at scale in highly regulated environments., This role sits at the intersection of distributed systems, cloud infrastructure, AI/ML operations, and software platform engineering. You will serve as a technical leader responsible for defining how AI models, large models, and intelligent agents are deployed, governed, monitored, and operated in production., As a senior technical leader, you will own the strategy and architecture for AI infrastructure that supports production-grade machine learning and generative AI systems. You will collaborate closely with software engineers, data engineers, AI practitioners, and platform teams to design systems that are scalable, observable, secure, and maintainable.