AI/ML Cloud Architect
- Location Raleigh
- Expertise AWS, Cloud
- Job Type Permanent
- Salary $ 140,000 per annum
We are seeking a highly skilled AI/ML Cloud Architect to join our innovative team. In this role, you will be responsible for designing, developing, and implementing cutting-edge AI solutions across multiple cloud platforms. You will work on projects that leverage Generative AI and large language models to solve complex business problems.
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 implement 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.
-
Establish and maintain robust monitoring systems for AI solutions in production, including performance tracking, anomaly detection, and model drift analysis.
-
Collaborate with cross-functional teams to deploy model updates, maintain version control, and optimize efficiency.
-
Use Infrastructure as Code (IaC) to manage and version cloud resources for AI projects.
-
Ensure knowledge transfer to internal teams and create documentation to support smooth transitions during model handoffs and system updates.
-
Contribute to the development of AI engineering best practices and standards.
Minimum Qualifications
-
Bachelor’s degree + 6 years in Architect/Engineer roles, OR Master’s + 4 years, OR Ph.D. + 1 year, OR 10 years of experience in Architect/Engineer roles.
-
Experience using Python to create and integrate GenAI solutions for business workloads.
-
2 years of experience managing AI services in at least one cloud platform (AWS preferred, Google Cloud or Azure acceptable).
-
Experience with container services and orchestration (e.g., AWS EKS/ECS, GKE).
-
Familiarity with machine learning, deep learning, and LLM frameworks, such as TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers, LangChain, LangGraph.
-
2 years of experience using Terraform for Infrastructure as Code and CI/CD deployments.
Preferred Qualifications
-
Client-facing experience.
-
In-depth knowledge of data services across major cloud platforms.
-
Professional certifications in AI/ML from AWS, Google Cloud, or Azure.
-
Experience with agentic workflows and streaming data processing.
Compensation
-
Base salary range: $131,600 – $219,400, dependent on location and candidate experience.
-
May be eligible for additional incentives.
Benefits
-
Flexible vacation policy and paid holidays.
-
Up to 160 hours of paid wellness time annually.
-
Additional paid leave options: bereavement, voting, jury duty, volunteer, military, parental leave.
Applicants must be authorized to work in the United States without sponsorship.
