AI Platform Enginee

Overview

Remote
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 Month(s)

Skills

AWS

Job Details

AI Platform Enginee
Location: Remote or Hybrid (Preferred: Minneapolis Area)
Rate is Open

Contract Length: Through August 31, 2025, with a 1-year extension highly likely
Conversion Potential: Candidates should be able and open for full-time conversion without sponsorship

Overview

We are seeking an experienced AI Platform Engineer to support the development, automation, and operations of enterprise AI platforms and infrastructure. This role will play a critical part in enabling scalable and secure AI capabilities across the organization, working with technologies such as Dataiku, OpenAI, AWS Bedrock, and more. This is a long-term contract opportunity with strong potential to convert to a full-time position.

Key Responsibilities

AI Platform Engineering & Operations

  • Engineer, maintain, and operate AI platforms including Dataiku, OpenAI, AWS Bedrock, Textract, Comprehend, and A2I.
  • Automate and manage deployments, upgrades, and scaling of AI tools.
  • Administer enterprise use of LLM APIs, managing API key provisioning, access controls, rate limits, and usage monitoring.
  • Provide technical support for incidents, performance optimization, and user onboarding.

AWS Infrastructure & Automation

  • Design and manage AWS-based infrastructure (EC2, EKS, IAM, S3, SSM, VPC, etc.) to support AI and data platforms.
  • Implement Infrastructure-as-Code using Terraform or CloudFormation.
  • Build and maintain CI/CD pipelines to streamline deployments.
  • Monitor and optimize performance and cost of AWS-hosted services.

Cross-Platform Support

  • Collaborate with engineering teams supporting data ingestion, transformation, and intelligence platforms to ensure alignment and integration.
  • Contribute to enterprise-level plans for disaster recovery, high availability, performance SLAs, and DevOps automation.

Security & Governance

  • Apply secure configurations, RBAC, audit logging, and encryption standards across platforms.
  • Work closely with Security and Governance teams to ensure compliance with internal policies and external regulations.

Collaboration & Innovation

  • Partner with Data Science, Analytics, DevOps, and Architecture teams to support innovative AI use cases.
  • Evaluate emerging AI tools and services to enhance platform resiliency and maturity.

Qualifications

  • 5+ years of experience in platform or data engineering, with a strong focus on AI/ML platforms and cloud infrastructure.
  • Proven expertise in:
    • Dataiku setup, deployment, and administration
    • AWS AI/ML services: Bedrock, Textract, Comprehend, A2I
    • OpenAI API integration and security management
    • AWS infrastructure: EC2, EKS, IAM, S3, Lambda, VPCs, SSM
    • Infrastructure-as-Code tools: Terraform, CloudFormation
    • Scripting in Python or Bash
    • Kubernetes (EKS) and enterprise observability (CloudWatch, Prometheus)
  • Understanding of DR/HA architecture, platform governance, and TCO/cost transparency
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.