AWS Cloud AI Engineer

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🍂 Massachusetts – Remote

🍂 Massachusetts – Remote

💵 $89.5k - $130k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

☁️ Cloud Engineer

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Boston Medical Center (BMC)

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1996

Boston Medical Center (BMC) is a 511-bed, equity-led academic medical center and a proud member of the Boston Medical Center Health System. BMC delivers a model of healthcare where innovative and equitable care empowers all patients to thrive. As a premier academic medical center in Boston, a national leader in clinical care, and the largest essential hospital in New England, BMC’s world-class clinicians provide comprehensive care in more than 70 specialties and subspecialties.

📋 Description

• Engineer, implement, and manage secure, scalable AI/ML platforms specifically within the AWS ecosystem • 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 • 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 • Build and maintain reliable, cost-efficient platforms utilizing native AWS services and automated CI/CD pipelines to transition intelligent solutions from development to production • Implement advanced monitoring solutions to oversee platform health, performance, and the stability of AI-driven workloads • Act as a technical lead to advance the organization’s cloud maturity, ensuring all AWS-based AI solutions are robust, secure, and 'AI-ready'

🎯 Requirements

• Bachelor’s degree in Computer Science, Engineering, or related discipline • 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) • 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 is preferred • 3 years of hands-on experience managing foundational AWS services (S3, EC2, RDS, VPC, KMS, SNS) • AWS Certifications: AWS certified Machine Learning Engineer or AWS certified Generative AI Developer is preferred

🏖️ Benefits

• medical, dental, vision, pharmacy benefits • discretionary annual bonuses and merit increases • Flexible Spending Accounts • 403(b) savings matches • paid time off • career advancement opportunities • resources to support employee and family well-being