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Cloud AI Engineer
InfiCare Staffing
3 hours ago
Full-time
On-site
Milford, Massachusetts, United States
Location- Remote (Occasionally travel required to Milford, Boston, or Middleborough MA.)
Mode of hire- Long term Contract
Required skills and qualifications.
10 or more years of experience in architecting, designing, developing, and implementing robust data and cloud solutions on the AWS platform.
Demonstrated expertise in building Retrieval-Augmented Generation (RAG) solutions using vector databases, embedding models, semantic search, document processing, and enterprise knowledge repositories.
Strong hands-on experience designing, developing, and deploying cloud-native AI/ML and Generative AI solutions
Hands-on experience with Model Context Protocol (MCP), including developing and integrating MCP servers and clients to securely connect AI agents and LLM applications with enterprise systems, APIs, and data sources.
Deep technical experience provisioning and managing foundational AWS components, including Amazon Elastic Kubernetes Service (EKS), VPC, Amazon SNS/SQS, Amazon CloudWatch, AWS CloudFormation, and Amazon EC2.
Proven track record executed in cloud migration strategies, including On-Premises to AWS and cross-cloud (Cloud Provider to AWS) migrations.
Advanced proficiency with Infrastructure as Code tools, specifically Terraform or AWS CloudFormation, to automate infrastructure deployment.
Thorough understanding and practical application of the AWS Well-Architected Framework pillars (Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability).
Hands-on experience with GitHub and GitHub Actions, including developing, configuring, and maintaining automated CI/CD workflows for building, testing, and deploying cloud infrastructure and data pipelines.
Proficiency in Git-based version control, branching strategies, pull requests, code reviews, and integrating GitHub Actions with AWS, Terraform, and Snowflake for secure, automated deployments across multiple environments.
Demonstrated hands-on experience in Snowflake administration, including performance tuning, security, and access management; strong proficiency in Python and advanced SQL;
Specialized experience across multiple data domains, including Database Architecture, ETL/ELT pipeline development, Business Intelligence (BI), Power BI and Tableau Administration
Demonstrated ability to partner and collaborate effectively with multidisciplinary teams, including Business Analysts, Developers, Data Scientists, and Subject-Matter Experts.
Ability to successfully pass an FBI background check
Preferred skills and qualifications
Bachelor’s degree (or equivalent) in computer science, information technology, or mathematics
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10 or more years of experience in architecting, designing, developing, and implementing robust data and cloud solutions on the AWS platform.
Demonstrated expertise in building Retrieval-Augmented Generation (RAG) solutions using vector databases, embedding models, semantic search, document processing, and enterprise knowledge repositories.
Strong hands-on experience designing, developing, and deploying cloud-native AI/ML and Generative AI solutions
Hands-on experience with Model Context Protocol (MCP), including developing and integrating MCP servers and clients to securely connect AI agents and LLM applications with enterprise systems, APIs, and data sources.
Deep technical experience provisioning and managing foundational AWS components, including Amazon Elastic Kubernetes Service (EKS), VPC, Amazon SNS/SQS, Amazon CloudWatch, AWS CloudFormation, and Amazon EC2.
Proven track record executed in cloud migration strategies, including On-Premises to AWS and cross-cloud (Cloud Provider to AWS) migrations.
Advanced proficiency with Infrastructure as Code tools, specifically Terraform or AWS CloudFormation, to automate infrastructure deployment.
Thorough understanding and practical application of the AWS Well-Architected Framework pillars (Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability).
Hands-on experience with GitHub and GitHub Actions, including developing, configuring, and maintaining automated CI/CD workflows for building, testing, and deploying cloud infrastructure and data pipelines.
Proficiency in Git-based version control, branching strategies, pull requests, code reviews, and integrating GitHub Actions with AWS, Terraform, and Snowflake for secure, automated deployments across multiple environments.
Demonstrated hands-on experience in Snowflake administration, including performance tuning, security, and access management; strong proficiency in Python and advanced SQL;
Specialized experience across multiple data domains, including Database Architecture, ETL/ELT pipeline development, Business Intelligence (BI), Power BI and Tableau Administration
Demonstrated ability to partner and collaborate effectively with multidisciplinary teams, including Business Analysts, Developers, Data Scientists, and Subject-Matter Experts.
Ability to successfully pass an FBI background check
Preferred skills and qualifications
Bachelor’s degree (or equivalent) in computer science, information technology, or mathematics
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