AWS Cloud AI Engineer

Boston Medical Center (BMC)

AWS Cloud AI Engineer responsible for managing AI/ML platforms using AWS at Boston Medical Center. Ensuring high availability and operationalizing modern AI workloads within the AWS ecosystem.

Posted 7/23/2026full-timeRemote • Massachusetts • 🇺🇸 United StatesMid-LevelSenior💰 $89,500 - $130,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in engineering and managing secure, scalable AI/ML platforms within the AWS ecosystem, with a strong focus on Infrastructure as Code (IaC) and operationalizing AI-driven workloads. Proficient in utilizing AWS services and implementing CI/CD pipelines to ensure high availability and performance of AI solutions.

Highest-signal resume keywords

AWS Infrastructure OptimizationAI/ML Platform ManagementInfrastructure as Code (IaC)Amazon SageMakerAWS Certifications

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI/ML Workload OperationalizationCI/CD Pipeline ImplementationAWS Services ManagementMonitoring Solutions ImplementationData Plane Management

Soft Skills

Technical LeadershipCollaboration

Tools & Technologies

Amazon SageMakerAmazon BedrockAWS S3AWS EC2AWS RDSAWS VPCAWS KMSAWS SNS

Certifications & Qualifications

AWS Certified Machine Learning EngineerAWS Certified Generative AI Developer

Industry Keywords

Healthcare Domain KnowledgeRegulated EnvironmentsHIPAAHITRUSTSOC2

Tech Stack

Tools & technologies

AWSCloudEC2

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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