Job Description

Salary: $131,600 - 219,400 per year Requirements:

• I am looking for candidates who possess a Bachelor’s degree with 6 years of experience in Architect/Engineer roles, a Master’s degree with 4 years of experience in Architect/Engineer roles, a Ph.D. with 1 year of experience in Architect/Engineer roles, or 10 years of experience in Architect/Engineer roles. You should have experience utilizing the Python programming language to develop and integrate Generative AI solutions relevant to business tasks. Additionally, I require you to have at least 2 years of managing AI services within a cloud platform, preferably AWS, or experience with Google Cloud or Azure. Familiarity with container services and orchestration, including AWS EKS, ECS, or GKE, is necessary. You should also have experience with commonly used machine learning, deep learning, and large language model frameworks such as TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers, LangChain, and LangGraph. A minimum of 2 years of experience using Terraform for managing Infrastructure as Code (IaC) and CI/CD deployments is essential.

Responsibilities:

• In this role, you will design and develop Generative AI solutions utilizing cloud-based managed AI services, such as Amazon Bedrock, Amazon SageMaker, or Google Cloud Vertex AI. You will also design workflows for AI agents using cloud and open-source agentic frameworks, package AI applications into containers, and deploy them via cloud orchestration services. Collaboration with data architects and engineers will be key, as you will be responsible for building end-to-end AI pipelines. You will implement MLOps practices to automate the development, deployment, and monitoring of AI applications and models. Additionally, you will establish and oversee robust monitoring systems for AI solutions in production environments, ensuring continuous performance tracking, anomaly detection, and model drift analysis. You will work with cross-functional teams to deploy model updates, maintain version control, and enhance model efficiency over time. Utilizing Infrastructure as Code (IaC) to manage and version cloud resources for AI projects will also be a critical part of your role. Ensuring clear knowledge transfer to internal teams and creating resources for knowledge sharing will facilitate smooth transitions during model handoffs and system updates. Lastly, you will contribute to the development of best practices and standards for AI engineering within our organization.

Technologies:

• AI
• AWS
• Architect
• Azure
• CI/CD
• Cloud
• Machine Learning
• PyTorch
• Python
• TensorFlow
• Terraform
• LLM

More:

At RapidScale, we believe that outstanding technology is driven by exceptional individuals. As a leader in secure and reliable managed cloud solutions, we help organizations, from mid-market to enterprise levels, simplify their IT operations and unlock innovation. Our diverse portfolio encompasses AWS, Azure, and Google Cloud, alongside a comprehensive suite of Private Cloud and Cybersecurity offerings, empowering companies to leverage technology as a competitive advantage. Supported by the Cox family of companies, we provide top-tier benefits, prioritize work-life balance, and offer an award-winning workplace culture. The compensation for this position ranges from $131,600.00 to $219,400.00 annually and may vary based on factors such as location and the qualifications of the selected candidate. The role may also be eligible for additional compensation through a potential incentive program.

I also want to highlight the generous benefits we offer, which include flexible paid vacation, seven paid holidays per year, and up to 160 hours of paid wellness time annually for personal or family use. Furthermore, employees are entitled to additional paid time off for bereavement, voting, jury duty, volunteer work, military service, and parental leave. Please note that applicants must currently be authorized to work in the United States for any employer without any current or future sponsorship.

last updated 43 week of 2025

Job Tags

Full time, Flexible hours,

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