Huron Logo

Huron

Cloud Engineer – AI Solutions (Manager) - Remote

Posted 2 Months Ago
In-Office or Remote
Hiring Remotely in Chicago, IL
155K-210K Annually
Senior level
In-Office or Remote
Hiring Remotely in Chicago, IL
155K-210K Annually
Senior level
Designs, provisions, and operates secure, scalable cloud environments supporting AI, ML, LLM, and data engineering solutions. Builds Infrastructure as Code, DevOps pipelines, containerized and serverless deployments, observability platforms, and compliance guardrails. Reviews infrastructure designs, creates operational documentation, and leads cloud infrastructure decisions on client engagements. Collaborates with architects, engineers, client IT, and security teams across development and production environments.
The summary above was generated by AI

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 LevelManager

CountryUnited States of America

Similar Jobs

3 Hours Ago
Remote or Hybrid
85K-110K Annually
Mid level
85K-110K Annually
Mid level
Automotive • Professional Services • Software • Consulting • Energy • Chemical • Renewable Energy
Leads GMP and quality system audits across manufacturing sites, farms, and processing facilities. Assesses compliance with pharmaceutical, supplement, medical device, cosmetics, food safety, and client standards; prepares detailed reports; mentors auditors; leads complex audits; and manages audit schedules and expenses. Requires frequent international and regional travel, strong analytical and communication skills, relevant credentials, and at least four years of related experience.
Top Skills: 21 Cfr 11121 Cfr 210/21121 Cfr 820CpgpCqaGfsiGmpIrcaIso 22716ExcelMicrosoft WordPcqiRabqsaRac
Yesterday
Remote
United States
120K-215K Annually
Mid level
120K-215K Annually
Mid level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Build and deploy AI-powered, LLM-based solutions in client environments. Implement integrations between models, APIs, and healthcare systems, write production-ready code, support testing and deployments, assist data preparation and prompt configuration, troubleshoot issues, and collaborate with cross-functional teams and clients to deliver scalable, secure solutions and enable knowledge transfer.
Top Skills: APIsAWSAzureClaudeCodexData PipelinesDistributed SystemsGCPJavaLlmsPrompt EngineeringPythonSQL
Yesterday
Easy Apply
Remote or Hybrid
United States
Easy Apply
155K-260K Annually
Senior level
155K-260K Annually
Senior level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Build agentic AI products that enable customers to create custom detections and workflows from operational camera data. Own projects from customer discovery through design, implementation, production operation, and ongoing optimization. Develop backend services, APIs, and customer-facing experiences; partner with platform, machine learning, product, and design teams. Improve AI accuracy, reliability, performance, and cost while mentoring engineers and shaping technical architecture.
Top Skills: Agentic AiAi Coding AgentsAPIsCloud ComputingComputer VisionEdge ComputingIotLarge Language Models

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account