Cloud Engineer – AI Solutions (Manager) - Remote

Job summary

Design, provision, and operate end-to-end cloud-native environments for AI and data engineering solutions. Collaborate with cross-functional teams and client stakeholders to ensure secure, scalable, and production-ready infrastructure.

Job details

Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future. Join our team as the expert you are now and create your future. Join Huron's AI Engineering practice as a Cloud Engineer and play a key role in delivering cloud infrastructure that powers our AI solutions across client engagements and internal delivery assets. You'll design, build, and operate cloud-native environments as part of our cross-functional delivery model, working alongside engineers, architects, and client teams to ensure every environment is secure, scalable, and production-ready. This role is a strong foundation for growth into cloud architecture responsibilities over time. Key Responsibilities Design, provision, and operate end-to-end cloud environments across client and internal use cases. Build and manage Infrastructure as Code using tooling such as Terraform and CDK. Design and provision data engineering pipelines and AI/ML and LLM infrastructure. Set up DevOps pipelines for data engineering, AI, and other solution components. Containerize and deploy applications across cloud-native compute and serverless services. Set up and maintain observability foundations: logging, monitoring, alerting, and cost tracking. Ensure secure deployments across identity, networking, and secrets management. Implement compliance guardrails aligned to regulated environment requirements. Produce runbooks, operational documentation, and support handoff processes. Review infrastructure designs and IaC produced by others. Serve as the cloud lead on client engagements, representing infrastructure decisions to client stakeholders. Collaborate with Solution Architects, Engineers, and client IT and security teams to align infrastructure with engagement requirements. Required Qualifications 5+ years of experience in cloud engineering or platform infrastructure. Demonstrated ability to design and provision cloud infrastructure on at least one major cloud platform. Proficient with AI/ML and LLM infrastructure on at least one major cloud platform. Production-grade experience with Infrastructure as Code. Experience setting up Hub and Spoke architectures spanning dev, QA, staging, and prod environments. Strong knowledge of cloud networking and security. Preferred: Cloud certification on AWS, Azure, or GCP. Strong communication skills with client-facing experience. 5+ years in a consulting or client-delivery context preferred. Flexible living locations across US or Canada, ability to travel as needed for client demand The estimated base salary for this job is $155,000 - $175,000. The actual salary paid to an individual will vary based on multiple factors, including but not limited to specific skills or certifications, years of experience, market changes, and required travel. This job is also eligible to participate in Huron’s annual incentive compensation program, which reflects Huron’s pay for performance philosophy. Inclusive of annual incentive compensation opportunity, the total estimated compensation range for this job is $186,000 - $210,000. The job is also eligible to participate in Huron’s benefit plans which include medical, dental and vision coverage and other wellness programs. Position Level Manager Country United States of America

What you’ll do

Design, provision, and operate end-to-end cloud-native environments for AI and data engineering solutions. Collaborate with cross-functional teams and client stakeholders to ensure secure, scalable, and production-ready infrastructure.

Requirements

Requires 5+ years of experience in cloud engineering with demonstrated proficiency in AI/ML infrastructure and Infrastructure as Code. Strong knowledge of cloud networking, security, and experience in a consulting or client-delivery context is preferred.

Benefits

• Medical coverage • Dental coverage • Vision coverage • Wellness programs • Annual incentive compensation

Listed skills

• Terraform · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Cloud engineering
• Terraform
• CDK
• Infrastructure as Code
• Data engineering
• AI/ML
• LLM infrastructure
• DevOps
• Containerization
• Observability
• Cloud networking
• Security
• Identity management
• Consulting
• Client-facing
• Inventory Staging
• Cloud-Native Computing
• Pipelines
• AWS Cloud Development Kit (CDK)
• Serverless Computing
• Infrastructure as Code (IaC)
• Application Deployment
• Artificial Intelligence
• Amazon Web Services
• Microsoft Azure
• Management
• Cloud Computing Architecture
• Cloud Engineering
• Cloud Infrastructure
• Communication
• Creativity
• Data Engineering
• Scalability
• Innovation
• Machine Learning
• Safety Assurance
• Solution Architecture
• Tooling

Job areas

• Technology
• Consulting
• Engineering
• Data & Analytics
• Software
• Cloud Solutions Engineer
• Cloud Architect
• Systems Analysts
• Computer Systems Engineers/Architects
• Computer Occupations, All Other