Senior Cloud AI Platform Architect

Signature Aviation; Orlando (FL); On-site; USD 140,000 - 170,000; Full time

Job summary

Signature Aviation seeks a Lead Cloud Engineer, AI Platforms to design, build, and operate secure, scalable cloud infrastructure powering AI and agentic systems across the enterprise. You will lead infrastructure for LLM platforms, MLOps pipelines, and edge deployments in aviation and enterprise environments.

You will collaborate with AI engineers, data scientists, DevOps, and digital engineering teams to ensure reliable platforms, strong governance, and cost-efficient operations across field

Qualifications

• 10+ years of experience in cloud engineering, platform engineering, or infrastructure architecture roles.
• Strong experience designing and operating containerized environments using Kubernetes and distributed systems architectures.
• Experience supporting infrastructure for AI, machine learning, or advanced data platforms.
• Experience supporting AI model deployment or inference platforms used in operational environments.
• Bachelor's degree in Computer Science, Engineering, or a related technical field.

Responsibilities

• Design and implement cloud infrastructure supporting LLM platforms, vector databases, and model inference pipelines.
• Build and operate scalable environments supporting agentic AI systems, predictive models, and enterprise AI applications.
• Support AI-driven operational use cases such as dynamic pricing, demand forecasting, and ramp capacity optimization.
• Implement and maintain MLOps pipelines supporting model training, deployment, monitoring, and lifecycle management.
• Develop Infrastructure-as-Code environments using tools such as Terraform to enable scalable and repeatable deployments.
• Optimize cloud performance, scalability, and reliability for AI and data workloads.
• Implement monitoring, logging, and observability platforms to ensure operational visibility and system performance.
• Collaborate with security and compliance teams to ensure data protection, platform security, and regulatory compliance.
• Enforce cloud governance, cost optimization, and operational resilience best practices.
• Design and support infrastructure for edge computing solutions that enable AI capabilities in field operations environments.
• Partner with engineering, data science, and platform teams to ensure seamless integration between AI infrastructure and enterprise systems.

Skills

Cloud engineering

Kubernetes

MLOps

Security architecture

Scalability engineering

Education

10+ years of experience in cloud infra roles

Bachelor's degree in Computer Science or Engineering

Tools

Terraform

LangChain

LlamaIndex

Semantic Kernel

Job description

Signature Aviation seeks a Lead Cloud Engineer, AI Platforms to design, build, and operate secure, scalable cloud infrastructure powering AI and agentic systems across the enterprise. You will lead infrastructure for LLM platforms, MLOps pipelines, and edge deployments in aviation and enterprise environments.

You will collaborate with AI engineers, data scientists, DevOps, and digital engineering teams to ensure reliable platforms, strong governance, and cost-efficient operations across field