Data Architect / Engineer: AWS Infrastructure That Enables AI/ML & App Workloads

NO 3RD / C2C PARTY FIRM CANDIDATES. DO NOT EMAIL TO ASK. AND NO I CANNOT HIRE YOUR CONSULTANTS ON MY W2. THIS ROLE CAN BE DONE REMOTELY BUT YOU WOULD BE REQUIRED TO WORK PACIFIC TIME ZONE 5 DAYS A WEEK. SOMEONE THAT'S LOCAL TO SOUTHERN CALIFORNIA THAT CAN DO ANY AMOUNT OF ONSITE IN IRVINE, CA WOULD BE A BIG PLUS. KORE1, a nationwide provider of staffing and recruiting solutions, has an immediate opening for a Data Architect / Engineer: AWS infrastructure that enables AI/ML & app workloads Role Overview We are seeking a skilled Data Architect / Engineer to build, own, and optimize the cloud infrastructure and data platform that powers an AI product. You will ensure scalability, uptime, and cost efficiency while empowering AI/ML and application teams to deliver a seamless, high-performance user experience. Your role is critical in managing data pipelines, cloud environments, and infrastructure components that enable AI/ML workflows and the platform's frontend and backend applications. Key Responsibilities • Design, deploy, and manage scalable, reliable cloud infrastructure (primarily AWS) supporting data ingestion, storage, and processing for AI/ML and application workflows • Manage and optimize data pipelines, including document ingestion, metadata tagging, and content preparation, ensuring uptime and smooth operation • Collaborate closely with AI/ML and application teams to ensure infrastructure and data platform reliability and responsiveness • Monitor system health, implement alerting, and perform capacity planning to meet growing demand and maintain low latency • Balance cost and performance through cloud resource management, leveraging open-source tools where appropriate to reduce operational expenses • Oversee secure data storage (e.g., S3 buckets), access controls, and compliance requirements • Support integration points between data infrastructure and user-facing platforms, including APIs and content upload features • Continuously evaluate and implement improvements for infrastructure automation, deployment, and scalability Required Skills & Experience • Bachelor degree required. One that's relevant is a plus. • Relevant certifications are a plus. • 5-8+ years of experience in cloud data engineering / data platform architecture with a focus on AWS technologies (S3, Lambda, Redshift, Glue, RDS, EC2, DynamoDB, Aurora, Athena, AWS Data Pipeline, Kinesis, Kafka, etc.) • Strong experience managing cloud infrastructure to support AI/ML and application workloads, with an emphasis on reliability, scalability, and cost optimization • Proficient in building and maintaining data pipelines and workflows, including document ingestion and metadata management • Experience working with storage solutions like AWS S3 and managing secure access and permissions • Familiarity with monitoring, alerting, and system health tools (CloudWatch, Datadog, Prometheus, etc.) • Comfortable collaborating across cross-functional teams, including AI/ML engineers, application developers, and product owners • Strong problem-solving skills and ability to manage priorities in a dynamic, fast-growing environment Preferred Qualifications • Familiarity with AI/ML workflows and how to enable them through data infrastructure without direct model building • Experience with vector databases, RAG environments, or semantic search infrastructure is a plus • Understanding of metadata tagging, knowledge graphs, or related data organization techniques • Knowledge of cost management strategies for cloud AI/ML workloads • Interest or background in storytelling, immersive media, or human-computer interaction Compensation depends on experience but is typically $60-80/hr W2.