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Lead Cloud AI Platforms Engineer

Signature Aviation

Orlando, Florida • Today

Full-time

Lead Cloud Engineer - AI Ops - Remote

UnitedHealth Group

Remote or Minnetonka, Minnesota • Today

Full-time

USD 112,700.00 - 193,200.00 per year

Senior AI Cloud Platform Engineer

Allstate Insurance Company

Remote or Illinois • Today

Full-time

USD 85,000.00 - 145,075.00 per year

Senior Platform Engineer (Cloud & AI Platform)- Remote within US

OEConnection

Remote • Today

Full-time

Lead Cloud Platform Engineer - 11691

Coupa Software

Remote • Today

Full-time

USD 125,000.00 - 174,333.00 per year

Lead AI Engineer

KeyCorp

Remote • Today

Full-time

USD 96,000.00 - 181,000.00 per year

AI Engineer Tech Lead

NTT DATA, Inc.

Remote or Dallas, Texas • Today

Full-time

Lead AI Engineer

Idexcel Inc.

Remote • 3d ago

Easy Apply

Third Party, Contract

Depends on Experience

Lead AI Engineer

EPAM Systems

Remote • Today

Full-time

Lead AI Engineer

Jahnel Group

Remote or Schenectady, New York • Today

Full-time

USD 120,000.00 - 175,000.00 per year

AI Engineer Tech Lead

NTT DATA Americas, Inc

Remote • 30+d ago

Easy Apply

Contract, Third Party

Depends on Experience

Senior Software Engineer II (Cloud), AI Native, Experimentation & ML

Life360

Remote • Today

Full-time

USD 118,500.00 - 216,500.00 per year

Lead AI engineer

Compsciprep LLC

Remote • Today

Easy Apply

Contract

Depends on Experience

AI Platform Tech Lead ID84742

AgileEngine

Orlando, Florida • Today

Full-time

Senior Google Cloud Platform Cloud, Data & AI Architect

HPTech Inc.

Remote • 7d ago

Easy Apply

Contract

Depends on Experience

Senior Computer Vision Engineer ID72408

AgileEngine

Orlando, Florida • Today

Full-time

Sr AI Platform Engineer

SES

Remote • 2d ago

Easy Apply

Full-time

Depends on Experience

Senior DevOps AI Platform Engineer

GXO Logistics

Remote or North Carolina • Today

Full-time

Sr. GPU AI Solution Cloud Architect

SolutionIT, Inc.

Remote or Santa Clara, California • Today

Easy Apply

Contract, Third Party

Senior AI Developer (Palantir AI Platform)

Vaco by Highspring

Remote • 5d ago

Easy Apply

Full-time

Depends on Experience

Sr Staff AI Platform Engineer

WEX Inc

Remote • Today

Full-time

USD 220,000.00 - 255,800.00 per year

Senior Staff AI Platform Engineer

SentinelOne

Remote • Today

Full-time

USD 184,000.00 - 253,000.00 per year

Sr AI/ML Engineer - Remote

UnitedHealth Group

Remote or Minnetonka, Minnesota • Today

Full-time

USD 120,100.00 - 214,500.00 per year

Sr. AI Engineer - Remote or Hybrid in Eden Prairie, MN

UnitedHealth Group

Remote or Minnetonka, Minnesota • Today

Full-time

USD 120,100.00 - 214,500.00 per year

Sr Data Scientist - Remote

UnitedHealth Group

Remote or Minnetonka, Minnesota • Today

Full-time

USD 91,700.00 - 163,700.00 per year

Senior Systems Engineer, Data Management

Dell Technologies

Remote or North Carolina • Today

Full-time

Senior Cloud / AI Developer

Cosmos IT Solutions

Remote • 4d ago

Easy Apply

Third Party, Contract

Depends on Experience

Google Cloud Platform Cloud Architect With AI

E-Solutions, Inc.

Remote • 20d ago

Easy Apply

Third Party, Contract

Depends on Experience

Senior MLOps Engineer (Remote)

Kohls Department Stores

Remote or Menomonee Falls, Wisconsin • Today

Full-time

Senior Software Development Engineer - LLMs, GenAI

CVS Health

Remote or New York, New York • Today

Full-time

USD 92,700.00 - 203,940.00 per year

Job Details

Skills

Large Language Models (LLMs)
DevOps
IaaS
Use Cases
Pricing
Demand Forecasting
Machine Learning Operations (ML Ops)
Training
Lifecycle Management
Terraform
Scalability
Collaboration
Data Security
Regulatory Compliance
Optimization
Field Operations
Infrastructure Architecture
Kubernetes
Machine Learning (ML)
Cloud Computing
Network Security
Reliability Engineering
Computer Science
Vector Databases
LangChain
LlamaIndex
Semantics
Predictive Analytics
Data Science
Authentication
OAuth
RBAC
Data Processing
Artificial Intelligence
Aviation
Logistics
Finance
Hospitality

Large Language Models (LLMs)
DevOps
IaaS
Use Cases
Pricing
Demand Forecasting
Machine Learning Operations (ML Ops)
Training
Lifecycle Management
Terraform
Scalability
Collaboration
Data Security
Regulatory Compliance
Optimization
Field Operations
Infrastructure Architecture
Kubernetes
Machine Learning (ML)
Cloud Computing
Network Security
Reliability Engineering
Computer Science
Vector Databases
LangChain
LlamaIndex
Semantics
Predictive Analytics
Data Science
Authentication
OAuth
RBAC
Data Processing
Artificial Intelligence
Aviation
Logistics
Finance
Hospitality

Summary

Job Description

At Signature Aviation, we are modernizing operations and customer experiences through advanced data platforms and artificial intelligence. We are seeking a Lead Cloud Engineer, AI Platforms to design, build, and operate the secure and scalable cloud infrastructure that powers next-generation AI and agentic systems across the enterprise.

In this role, you will lead the infrastructure architecture for AI platforms supporting multi-agent systems, large language models (LLMs), predictive analytics, and operational AI solutions. You will collaborate closely with AI engineers, data scientists, DevOps teams, and digital engineering teams to deliver reliable, scalable platforms that enable AI-driven capabilities across operations, commercial systems, and field environments.

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

Qualifications

Minimum Education and/or Experience:

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
Strong knowledge of cloud networking, security architecture, and reliability engineering practices
Bachelor's degree in Computer Science, Engineering, or a related technical field

Preferred Qualifications

Experience supporting LLM platforms, vector databases, and modern AI application architectures
Familiarity with frameworks and tools such as LangChain, LlamaIndex, or Semantic Kernel
Experience integrating with foundation models such as OpenAI GPT, Claude, LLaMA, or Gemini
Experience supporting predictive analytics and data science platforms in production environments
Familiarity with authentication and security frameworks such as OAuth2 and RBAC
Experience supporting multimodal AI systems, including vision, speech, or structured data processing
Experience designing infrastructure for edge computing or field-based AI deployments
Familiarity with aviation, logistics, mobility, or other operational technology environments
Experience working in regulated industries such as aviation, logistics, finance, or hospitality

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 80183831
Position Id: ea8b73ec428f724796e4805b384840ba
Posted 2 days ago

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Dice Job Match Score™

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Lead Software Platform Engineer, MLOps

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Full-time

USD 200,000.00 - 270,000.00 per year

Job Details

Skills

Large Language Models (LLMs)
DevOps
IaaS
Use Cases
Pricing
Demand Forecasting
Machine Learning Operations (ML Ops)
Training
Lifecycle Management
Terraform
Scalability
Collaboration
Data Security
Regulatory Compliance
Optimization
Field Operations
Infrastructure Architecture
Kubernetes
Machine Learning (ML)
Cloud Computing
Network Security
Reliability Engineering
Computer Science
Vector Databases
LangChain
LlamaIndex
Semantics
Predictive Analytics
Data Science
Authentication
OAuth
RBAC
Data Processing
Artificial Intelligence
Aviation
Logistics
Finance
Hospitality

Large Language Models (LLMs)
DevOps
IaaS
Use Cases
Pricing
Demand Forecasting
Machine Learning Operations (ML Ops)
Training
Lifecycle Management
Terraform
Scalability
Collaboration
Data Security
Regulatory Compliance
Optimization
Field Operations
Infrastructure Architecture
Kubernetes
Machine Learning (ML)
Cloud Computing
Network Security
Reliability Engineering
Computer Science
Vector Databases
LangChain
LlamaIndex
Semantics
Predictive Analytics
Data Science
Authentication
OAuth
RBAC
Data Processing
Artificial Intelligence
Aviation
Logistics
Finance
Hospitality

Summary

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

Qualifications

Minimum Education and/or Experience:

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
Strong knowledge of cloud networking, security architecture, and reliability engineering practices
Bachelor's degree in Computer Science, Engineering, or a related technical field

Preferred Qualifications

Experience supporting LLM platforms, vector databases, and modern AI application architectures
Familiarity with frameworks and tools such as LangChain, LlamaIndex, or Semantic Kernel
Experience integrating with foundation models such as OpenAI GPT, Claude, LLaMA, or Gemini
Experience supporting predictive analytics and data science platforms in production environments
Familiarity with authentication and security frameworks such as OAuth2 and RBAC
Experience supporting multimodal AI systems, including vision, speech, or structured data processing
Experience designing infrastructure for edge computing or field-based AI deployments
Familiarity with aviation, logistics, mobility, or other operational technology environments
Experience working in regulated industries such as aviation, logistics, finance, or hospitality

Dice Id: 80183831
Position Id: ea8b73ec428f724796e4805b384840ba
Posted 2 days ago

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

Principal AI Agentic System Engineer

Orlando, Florida

•

Today

Full-time

AI Platform Production Engineer

Lake Mary, Florida

•

Today

Full-time

Senior Platform Engineer (Cloud & AI Platform)- Remote within US

Remote

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Lead Software Platform Engineer, MLOps

Remote

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USD 200,000.00 - 270,000.00 per year