AI/ML Cloud Architect

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.