AWS Cloud AI Engineer

Role overview

Responsibilities

• check_circle Engineer, implement, and manage secure, scalable AI/ML platforms specifically within the AWS ecosystem.
• check_circle Serve as a Subject Matter Expert (SME) in optimizing AWS infrastructure using Infrastructure as Code (IaC) to ensure high availability for model endpoints and data planes.
• check_circle Lead the end-to-end operationalization of modern AI and Generative AI workloads, including LLM-powered applications, Retrieval-Augmented Generation (RAG), and Agentic AI frameworks.
• check_circle Build and maintain reliable, cost-efficient platforms utilizing native AWS services and automated CI/CD pipelines to transition intelligent solutions from development to production.
• check_circle Implement advanced monitoring solutions to oversee platform health, performance, and the stability of AI-driven workloads.
• check_circle Act as a technical lead to advance the organization’s cloud maturity, ensuring all AWS-based AI solutions are robust, secure, and 'AI-ready.'

Basic qualifications

• Bachelor’s degree in Computer Science, Engineering, or related discipline with at least 5 years of experience in IT Systems Engineering or equivalent combination of education and experience.
• Demonstrated familiarity with deploying and operationalizing AI-driven workloads, specifically utilizing services like Amazon SageMaker or Amazon Bedrock.
• Healthcare domain knowledge and working in regulated environments is a plus (HIPAA, HITRUST, SOC2)

Preferred qualifications

• Master’s degree in Computer Science with a minimum of 5 years of dedicated expertise in engineering and operating enterprise-scale environments exclusively on AWS.
• 3 years of hands-on experience managing foundational AWS services (S3, EC2, RDS, VPC, KMS, SNS).

Benefits

• check_circle This range offers an estimate based on the minimum job qualifications. However, our approach to determining base pay is comprehensive, and a broad range of factors is considered when making an offer. This includes education, experience, skills, and certifications/licensures as they directly relate to position requirements; as well as business/organizational needs, internal equity, and market-competitiveness. In addition, BMCHS offers generous total compensation that includes, but is not limited to, benefits (medical, dental, vision, pharmacy), discretionary annual bonuses and merit increases, Flexible Spending Accounts, 403(b) savings matches, paid time off, career advancement opportunities, and resources to support employee and family well-being.