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AI Cloud Architect

Crowdplum Global Services LLCUnited States🇺🇸United StatesPosted 22 Jul 2026

Quick Overview

Work Type
Remote
Level
Mid Senior

Job Description

Please find the open requirement below. If you are interested, please share your updated resume, including your expected rate and visa status.

Job Title: AI Cloud Architect (Remote)

Location: Remote- USA Only

Exp: 15+ Years

Contract

 

About the Role

We are seeking an experienced AI Cloud Architect to design, implement, and optimize scalable cloud-based AI solutions. You will work with cross-functional teams to build secure, high-performance machine learning and generative AI platforms that support business applications. This role requires expertise in cloud architecture, AI/ML infrastructure, DevOps, and modern data platforms.

 

Key Responsibilities

 

·                  Design end-to-end cloud architectures for AI and machine learning workloads. 

·                  Develop scalable, secure, and cost-effective AI infrastructure on cloud platforms. 

·                  Build and maintain MLOps pipelines for model training, deployment, monitoring, and lifecycle management.  

·                  Design vector databases and retrieval systems for Generative AI applications. 

·                  Integrate LLMs and AI services into enterprise applications. 

·                  Collaborate with data scientists, ML engineers, software developers, and business stakeholders. 

·                  Implement Infrastructure as Code (IaC) using Terraform, CloudFormation, or similar tools.  

·                  Ensure compliance with security, governance, and cloud best practices. 

·                  Optimize cloud performance, reliability, and operational costs.  

·                  Evaluate emerging AI technologies and recommend architectural improvements. 

 

Required Qualifications

·                  Bachelor''s or Master''s degree in Computer Science, Engineering, Information Technology, or a related field.  

·                  5+ years of experience in cloud architecture or cloud engineering. 

·                  3+ years of experience with AI/ML platforms and deployments. 

 

Strong expertise in at least one cloud platform: 

·                  AWS 

·                  Microsoft Azure 

·                  Google Cloud Platform (Google Cloud Platform) 

 

Experience with: 

·                  Docker 

·                  Kubernetes 

·                  Terraform 

·                  CI/CD pipelines 

·                  Strong programming skills in Python and one or more of Java, Go, or C#.  

·                  Experience with databases including SQL, NoSQL, and vector databases. 

·                  Knowledge of networking, IAM, cloud security, and compliance frameworks. 

Preferred Qualifications

·                  Experience with Generative AI and Large Language Models (LLMs). 

·                  Familiarity with RAG (Retrieval-Augmented Generation) architectures. 

·                  Experience with LangChain, LlamaIndex, Semantic Kernel, or similar frameworks.  

·                  Knowledge of ML frameworks such as TensorFlow or PyTorch.  

·                  Experience with Kafka, Spark, or distributed data processing. 

 

Cloud certifications such as: 

·                  AWS Certified Solutions Architect – Professional 

·                  Microsoft Azure Solutions Architect Expert 

·                  Google Professional Cloud Architect 

Technical Skills

·                  Cloud Platforms: AWS, Azure, Google Cloud Platform 

·                  AI/ML: OpenAI APIs, Azure OpenAI, Vertex AI, Amazon Bedrock 

·                  Programming: Python, Java, Go, C# 

·                  Containers: Docker, Kubernetes 

·                  Infrastructure as Code: Terraform, CloudFormation 

·                  DevOps: GitHub Actions, Jenkins, GitLab CI 

·                  Databases: PostgreSQL, MongoDB, Redis, Pinecone, Milvus 

·                  Monitoring: Prometheus, Grafana, CloudWatch, Azure Monitor 

Soft Skills

·                  Strong analytical and problem-solving abilities 

·                  Excellent communication and stakeholder management 

·                  Leadership and mentoring skills 

·                  Ability to work independently in a remote environment 

·                  Strong documentation and presentation skills

 

Please share your DL copy, visa copy, i94 copy and the details below for the client submission-

Candidate Submission

Candidate First Name

 

Candidate Last Name

 

Position Name (Job Title )

AI Cloud Architect

Present location (city and state) with Zip Code

 

Visa Status 

 

SSN last 4 Digit 

 

Contact/Phone #

 

E-mail address

 

Total experience of the candidate (Years)

 

Bachelor’s details (University /college, stream & passing year)

 

Master’s details (University/college, stream & passing year)

 

Interview availability

 

Currently working - Yes / No

 

 

LinkedIn ID

 

 

 

Thanks & Regards,

Anita Waghmare

CrowdPlum Global Services

Email:

 

 

 

Skills

Docker
MongoDB
SQL
AWS
MLOps
Machine Learning
Azure
C#
CloudFormation
Generative AI
GitHub Actions
GitLab CI
Google Cloud
Grafana
Java
Jenkins
Kafka
Kubernetes
PostgreSQL
Prometheus
PyTorch
Python
Redis
Stakeholder Management
TensorFlow
Terraform

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