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, OpenKyber Email:

For applications and inquiries, contact:hirings@openkyber.com

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