Cloud Security Architect
Openkyber
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.
- 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
- 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.
- 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.
- AWS Certified Solutions Architect Professional
- Microsoft Azure Solutions Architect Expert
- Google Professional Cloud Architect
- 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
- 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
For applications and inquiries, contact:View email address on us.fitly.work
Vacancy posted 1 day ago
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