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RapidScale · 3 days ago

AI/ML Cloud Architect (RapidScale)

Raleigh, NC

Full-time

Onsite

Mid, Senior Level

$132K/yr - $219K/yr

4+ years exp

RapidScale is a company that delivers secure, reliable managed and advisory services across private, public, and hybrid clouds. They are seeking a highly skilled AI/ML Cloud Architect to design, develop, and implement cutting-edge AI solutions across multiple cloud platforms, leveraging Generative AI and large language models to address complex business problems.

Cloud Data ServicesCloud ManagementSoftware

Growth Opportunities

No H1B

Responsibilities

Design and develop Generative AI solutions using cloud-based managed AI services (e.g. Amazon Bedrock, Amazon SageMaker, Google Cloud Vertex AI)

Design and develop AI Agent workflows using cloud and open source agentic frameworks

Containerize AI applications and deploy them using cloud orchestration services

Collaborate with data architects/engineers to build end-to-end AI pipelines

Implement MLOps practices to automate the development, deployment, and monitoring of AI applications and models

Implement and manage robust monitoring systems for AI solutions in production environments, ensuring continuous performance tracking, anomaly detection, and model drift analysis; collaborate with cross-functional teams to deploy model updates, maintain version control, and optimize model efficiency over time

Use Infrastructure as Code (IaC) to manage and version cloud resources for AI projects

Ensure clear and accessible knowledge transfer to internal teams and create knowledge-sharing resources to ensure smooth transitions during model handoffs and system updates

Contribute to the development of best practices and standards for AI engineering within the organization

Qualification

Generative AI solutionsCloud orchestration servicesMLOps practicesInfrastructure as Code (IaC)Python programmingContainer servicesMachine learning frameworksCI/CD deploymentsClient-facing experienceData services knowledgeAI/ML certificationsAgentic workflows

Required

Bachelor's degree and 6 years' experience in Architect/Engineer roles OR a Master's degree and 4 years' experience Architect/Engineer roles OR a Ph.D. and 1 years' experience in Architect/Engineer roles OR 10 years' experience in Architect/Engineer roles

Experience using Python programming language to create and integrate GenAI solutions related to business workloads

2 years of experience of managing AI services within one cloud platform (AWS preferred, Google Cloud, Azure)

Experience with container services and orchestration (AWS EKS, ECS, GKE, etc.)

Experience in common machine learning, deep learning, and LLM frameworks, such as TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers, LangChain, LangGraph

2 years experience with using Terraform for managing Infrastructure as Code (IaC) as well as CI/CD deployments