Cox Enterprises · 4 months ago
AI/ML Cloud Architect (RapidScale)
Cox Enterprises is a leading provider of managed cloud services, seeking a highly skilled AI/ML Cloud Architect to join their innovative team at RapidScale. In this role, you will design, develop, and implement cutting-edge AI solutions across multiple cloud platforms, leveraging Generative AI and large language models to solve complex business problems for customers.
AdvertisingBroadcastingDigital MediaTelecommunications
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
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
Preferred
Experience in a client-facing role
In-depth knowledge of data services across major cloud platforms (AWS or Google Cloud)
Professional certifications with focus on AI/ML from AWS, Google Cloud or Azure
Experience with agentic workflows and streaming data processing
Benefits
The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company’s needs, and its obligations.
Seven paid holidays throughout the calendar year
Up to 160 hours of paid wellness annually for their own wellness or that of family members
Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.
Benefits of working at Cox may include health care insurance (medical, dental, vision)
Retirement planning (401(k))
Paid days off (sick leave, parental leave, flexible vacation/wellness days, and/or PTO)
Company
Cox Enterprises
Cox Enterprises is a communications, media, and automotive services company.
Funding
Current Stage
Late StageTotal Funding
$1.7M2014-12-15Grant· $1.7M
Leadership Team
Recent News
2026-01-07
Dayton Daily News
2025-12-11
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