AI Platform Enginee
Posted 2 weeks ago by 1751373809
Negotiable
Outside
Remote
USA
Summary: The role of AI Platform Engineer involves supporting the development, automation, and operations of enterprise AI platforms and infrastructure. This position is critical for enabling scalable and secure AI capabilities within the organization, utilizing technologies such as Dataiku, OpenAI, and AWS Bedrock. It is a long-term contract opportunity with a strong likelihood of conversion to a full-time role. The preferred working arrangement is remote or hybrid, specifically in the Minneapolis area.
Key Responsibilities:
- 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.
- 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.
- 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.
- 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.
- 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.
Key Skills:
- 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.
- Proven expertise in AWS AI/ML services: Bedrock, Textract, Comprehend, A2I.
- Proven expertise in OpenAI API integration and security management.
- Proven expertise in 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.
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
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