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Cloud Deployment Architect Jobs (NOW HIRING)

Cloud Solutions Architect

Morristown, NJ · Hybrid

$100K - $130K/yr

GCP, terraform, CI/CD experience Exceptional understanding of cloud architectural patterns and practices Experience with GCP or equivalent public cloud and its relevant build, deployment, automation ...

Implementation and Deployment: * Overseeing the implementation and deployment of cloud solutions on ... Defines the architecture of a computerized system (i.e., a system composed of software and hardware ...

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Marketing Cloud Architect

Dearborn, MI · On-site

$59.75 - $76/hr

... post-deployment Architect the integration between Marketing Cloud and Salesforce REQUIREMENTS: Minimum 8 years of IT experience. At least 2 years of Marketing Cloud experience and 5 Years of ...

Google Cloud Platform Architect

Manor, TX · On-site

$70 - $89.25/hr

: Overall Experience in Enterprise Architecture. Cloud Experience working on Cloud platforms (Google ... Deployment Manager Security & Governance Google Cloud IAM Security Command Center Google Cloud ...

New

Cloud Armor Architect with GCP

Columbus, OH · Remote

$66.50 - $84.75/hr

Position: Cloud Armor Architect with GCP Location: Remote Duration: Long term contract Key ... deployment models. * Lead threat modeling, risk assessment, and mitigation strategies for GCP ...

Cloud Architect - Austin, TX

Austin, TX · On-site

$64.50 - $82/hr

Cloud Architect Position: C2C Location: Austin, TX Duration: 12+ months Overall Experience 14 ... Deployment Manage rSecurity & Governance • Google Cloud IAM • Security Command Center • ...

Posted today

Google Cloud Platform Architect

Austin, TX · On-site

$64.50 - $82/hr

... Deployment ManagerSecurity & Governance • Google Cloud IAM • Security Command Center • Google Cloud Audit Logs • Organization Policy Service Data & Analytics • Big Query • Dataflow • ...

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Cloud Architect

El Segundo, CA · On-site

$69.25 - $88.25/hr

Kubernetes) and the cloud platforms (e.g. OpenStack, AWS, GCE) is a MUST ... Experience with micro services architecture (PLUS) and automated deployment (MUST). Experience with ...

Cloud Architect

Chandler, AZ · Remote

$66.50 - $84.75/hr

Job Details: Architect (ETL, Cloud, Microservices, Kafka, DevOps, Open Source, Spring Boot ... and cloud deployment processes. Ability to develop secure, efficient, and scalable cloud ...

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Cloud Deployment Architect information

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How much do cloud deployment architect jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for cloud deployment architect in the United States is $70.79, according to ZipRecruiter salary data. Most workers in this role earn between $62.50 and $79.57 per hour, depending on experience, location, and employer.

What cities are hiring for Cloud Deployment Architect jobs?

Cities with the most Cloud Deployment Architect job openings:

What states have the most Cloud Deployment Architect jobs?

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Infographic showing various Cloud Deployment Architect job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, 2% Part Time, and 9% Contract. Highlights an 78% Physical, 7% Hybrid, and 15% Remote job distribution, with an average salary of $147,236 per year, or $70.8 per hour.

AI/ML Architect contract C2C jobs at Woodland hills, CA

Los Angeles, CA • On-site

Other

Posted 10 days ago


Job description

AI/ML Architect

Location: Woodland Hills, CA (Onsite)

Duration: 12 Months

Senior AI/ML Architect with hands on coding/development experience - GenAI & Cloud

Roles and Responsibilities
  • Architect and Design: Lead the design of scalable, secure, and high-performance AI/ML systems leveraging Agentic Layer A2A frameworks and MCP Protocols.
  • Solution Engineering: Drive end-to-end solution development including vector embeddings, prompt engineering, and context engineering for enterprise-grade GenAI applications.
  • Cloud Deployment: Architect and oversee deployment of AI/ML workloads on Azure Cloud, ensuring compliance, scalability, and cost optimization.
  • Data Architecture: Design and optimize data pipelines and storage solutions using Azure AI Search, Redis, Cosmos DB, Blob Storage, and Iceberg.
  • Application Development: Build and manage Azure Functions and Azure Container Apps for microservices-based AI solutions.
  • Performance & Scalability: Define cloud-native architecture patterns, implement performance tuning, and ensure resilience across distributed systems.
  • Domain Expertise: Apply deep knowledge of healthcare domain requirements, ensuring solutions meet regulatory standards (HIPAA, GDPR, etc.) and handle sensitive data securely.
  • Technical Leadership: Mentor engineering teams, establish best practices, and conduct design/code reviews.
  • Innovation & Research: Stay ahead of emerging GenAI, LLM/NLM trends, and integrate cutting-edge approaches into enterprise solutions.
Evaluation Criteria (Critical Components)
  1. Technical Depth
    • Ability to design and implement multi-agent AI systems.
    • Experience in LLM fine-tuning, embeddings, and context engineering.
    • Expertise in coding proficiency with production-grade systems in Python.
  2. Architectural Vision
    • Ability to define enterprise-level AI/ML architecture aligned with cloud-native principles.
    • Experience in scalability, resilience, and performance optimization.
  3. Cloud & Data Expertise
    • Hands-on deployment of AI workloads on Azure Cloud.
    • Strong knowledge of databases, search systems, and distributed storage.
  4. Domain Knowledge
    • Familiarity with healthcare regulations and ability to design compliant solutions.
  5. Leadership & Collaboration
    • Experience mentoring engineers, conducting reviews, and driving technical excellence.
    • Ability to collaborate with cross-functional teams including product, compliance, and operations.
  6. Innovation & Research Orientation
    • Evidence of staying current with GenAI advancements and applying them to real-world problems.
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