AI Cloud Architect
Quick Overview
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 |
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Candidate Last Name |
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Position Name (Job Title ) | AI Cloud Architect |
Present location (city and state) with Zip Code |
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Visa Status |
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SSN last 4 Digit |
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Contact/Phone # |
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E-mail address |
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Total experience of the candidate (Years) |
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Bachelor’s details (University /college, stream & passing year) |
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Master’s details (University/college, stream & passing year) |
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Interview availability |
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Currently working - Yes / No |
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LinkedIn ID |
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Thanks & Regards,
Anita Waghmare
CrowdPlum Global Services
Email:
Skills
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