Cloud Platform Engineer Category Information Technology Location Nyc, Ny

Ariel Partners

Nyc, Ny, USA
Fully onsite
Aws ai services (sagemaker, bedrock)
Llm-based agents and autonomous orchestration
Ci/cd pipelines for ai models
Ariel Partners is seeking a Cloud Platform Engineer for a fully on-site position in NYC, focused on a strategic initiative to reduce SNAP Payment Error rates through advanced technologies like AI and automation. The ideal candidate should have extensive AWS and automation experience, along with a strong background in machine learning and data processing

Job Summary

  • Develop, deploy, and optimize AI/ML solutions using AWS AI services including SageMaker and Bedrock, supporting model training, inference, and integration into production systems.
  • Design and integrate agentic AI systems, including LLM-based agents, multi-agent workflows, and autonomous orchestration pipelines using frameworks such as LangChain and LangGraph.
  • Apply security best practices across AI and data platforms, including IAM least-privilege access, encryption, audit logging, and compliance controls.

Matching Summary

Match Score: 85

Ariel Partners is seeking a Cloud Platform Engineer for a fully on-site position in NYC, focused on a strategic initiative to reduce SNAP Payment Error rates through advanced technologies like AI and automation. The ideal candidate should have extensive AWS and automation experience, along with a strong background in machine learning and data processing.

Skills & Requirements

Must-have

  • AWS AI services (SageMaker, Bedrock)
  • LLM-based agents and autonomous orchestration
  • CI/CD pipelines for AI models
  • AWS networking (VPC, NACLs, security groups)
  • Infrastructure-as-Code (CloudFormation, Terraform)
  • Python scripting and automation

Nice-to-have

  • McKinsey partnership
  • Mitigating federal oversight findings
  • Strengthening program integrity
  • Data-driven insights for operations

Key Requirements

  • Minimum 7 years of AWS experience
  • Minimum 7 years of Linux/Unix administration
  • Minimum 7 years of Infrastructure as Code experience
  • Minimum 7 years of AWS networking knowledge
  • Minimum 5 years of CI/CD pipeline experience
  • Minimum 4 years of data processing workflow experience
  • Minimum 4 years of AWS AI/ML services experience

Work Rights

Not specified

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