Overview
On Site
Compensation information provided in the description
Full Time
Skills
Provisioning
Access Control
Privacy
Onboarding
Computer Networking
Continuous Integration
Continuous Delivery
Data Engineering
RBAC
Auditing
Encryption
Regulatory Compliance
Collaboration
Innovation
Data Science
Analytics
DevOps
Use Cases
Emerging Technologies
IaaS
Artificial Intelligence
Machine Learning (ML)
IDP
Workflow
API
Security Management
Amazon Web Services
Amazon EC2
Amazon S3
Terraform
Scripting
Python
Bash
Kubernetes
High Availability
Management
Taxes
Life Insurance
Business Transformation
Law
Job Details
Description
Key Responsibilities AI Platform Engineering & Operations Engineer and operate AI platforms including Dataiku, OpenAI, AWS Bedrock, Textract, Comprehend, and A2I. Automate and manage deployments, upgrades, and scaling of AI services and tools to meet growing business needs. Administer and govern enterprise use of LLM APIs, including provisioning and rotation of API keys, monitoring usage patterns, enforcing rate limits and access controls, and ensuring alignment with security, privacy, and compliance standards. Provide support for AI platform incidents, performance issues, and user onboarding. AWS Infrastructure & Automation Design and maintain AWS infrastructure supporting AI and data platforms (e.g., EC2, EKS, IAM, SSM, S3, networking). Implement infrastructure-as-code (e.g., Terraform, CloudFormation) and CI/CD pipelines for repeatable deployments. Monitor and optimize platform performance and availability across AWS-hosted services. Cross-Platform Support and Alignment Collaborate with engineers supporting data ingestion, data engineering, and data intelligence platforms to ensure architectural alignment and integrated operations. Participate in enterprise-level planning and execution for DR/HA strategies, cost transparency/TCO tracking, performance SLAs, and DevOps automation across all platform layers. Security & Governance Implement secure configurations, RBAC policies, audit logging, and encryption standards for AI and data platforms. Ensure compliance with internal and external regulatory requirements by working closely with Security and Governance teams. Collaboration & Innovation Partner with Data Science, Analytics, DevOps, and Architecture teams to enable use cases leveraging AI platforms and foundational data infrastructure. Evaluate and integrate emerging technologies and services that support enterprise AI maturity and platform resiliency.
Skills
Python, Aws, terraform, dataiku
Top Skills Details
Python,Aws,terraform,dataiku
Additional Skills & Qualifications
Qualifications 5+ years experience in data or platform engineering roles, with deep experience in AI platform operations and cloud infrastructure. Expertise in: Dataiku setup and administration AWS AI/ML services - Bedrock, Textract, Comprehend, and IDP workflows OpenAI API/platform integration and security management AWS infrastructure - EC2, EKS, IAM, VPCs, Lambda, S3, SSM Infrastructure automation (Terraform, CloudFormation), scripting (Python/Bash) Experience with Kubernetes (EKS), containerization, and enterprise observability tooling (CloudWatch, Prometheus) Understanding of enterprise TCO management, DR/HA architecture, and platform landscape management
Experience Level
Expert Level
Pay and Benefits
The pay range for this position is $70.00 - $115.00/hr.
Eligibility requirements apply to some benefits and may depend on your job
classification and length of employment. Benefits are subject to change and may be
subject to specific elections, plan, or program terms. If eligible, the benefits
available for this temporary role may include the following:
Medical, dental & vision
Critical Illness, Accident, and Hospital
401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available
Life Insurance (Voluntary Life & AD&D for the employee and dependents)
Short and long-term disability
Health Spending Account (HSA)
Transportation benefits
Employee Assistance Program
Time Off/Leave (PTO, Vacation or Sick Leave)
Workplace Type
This is a hybrid position in Inver Grove Heights,MN.
Application Deadline
This position is anticipated to close on May 23, 2025.
About TEKsystems and TEKsystems Global Services
We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.
The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
Key Responsibilities AI Platform Engineering & Operations Engineer and operate AI platforms including Dataiku, OpenAI, AWS Bedrock, Textract, Comprehend, and A2I. Automate and manage deployments, upgrades, and scaling of AI services and tools to meet growing business needs. Administer and govern enterprise use of LLM APIs, including provisioning and rotation of API keys, monitoring usage patterns, enforcing rate limits and access controls, and ensuring alignment with security, privacy, and compliance standards. Provide support for AI platform incidents, performance issues, and user onboarding. AWS Infrastructure & Automation Design and maintain AWS infrastructure supporting AI and data platforms (e.g., EC2, EKS, IAM, SSM, S3, networking). Implement infrastructure-as-code (e.g., Terraform, CloudFormation) and CI/CD pipelines for repeatable deployments. Monitor and optimize platform performance and availability across AWS-hosted services. Cross-Platform Support and Alignment Collaborate with engineers supporting data ingestion, data engineering, and data intelligence platforms to ensure architectural alignment and integrated operations. Participate in enterprise-level planning and execution for DR/HA strategies, cost transparency/TCO tracking, performance SLAs, and DevOps automation across all platform layers. Security & Governance Implement secure configurations, RBAC policies, audit logging, and encryption standards for AI and data platforms. Ensure compliance with internal and external regulatory requirements by working closely with Security and Governance teams. Collaboration & Innovation Partner with Data Science, Analytics, DevOps, and Architecture teams to enable use cases leveraging AI platforms and foundational data infrastructure. Evaluate and integrate emerging technologies and services that support enterprise AI maturity and platform resiliency.
Skills
Python, Aws, terraform, dataiku
Top Skills Details
Python,Aws,terraform,dataiku
Additional Skills & Qualifications
Qualifications 5+ years experience in data or platform engineering roles, with deep experience in AI platform operations and cloud infrastructure. Expertise in: Dataiku setup and administration AWS AI/ML services - Bedrock, Textract, Comprehend, and IDP workflows OpenAI API/platform integration and security management AWS infrastructure - EC2, EKS, IAM, VPCs, Lambda, S3, SSM Infrastructure automation (Terraform, CloudFormation), scripting (Python/Bash) Experience with Kubernetes (EKS), containerization, and enterprise observability tooling (CloudWatch, Prometheus) Understanding of enterprise TCO management, DR/HA architecture, and platform landscape management
Experience Level
Expert Level
Pay and Benefits
The pay range for this position is $70.00 - $115.00/hr.
Eligibility requirements apply to some benefits and may depend on your job
classification and length of employment. Benefits are subject to change and may be
subject to specific elections, plan, or program terms. If eligible, the benefits
available for this temporary role may include the following:
Medical, dental & vision
Critical Illness, Accident, and Hospital
401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available
Life Insurance (Voluntary Life & AD&D for the employee and dependents)
Short and long-term disability
Health Spending Account (HSA)
Transportation benefits
Employee Assistance Program
Time Off/Leave (PTO, Vacation or Sick Leave)
Workplace Type
This is a hybrid position in Inver Grove Heights,MN.
Application Deadline
This position is anticipated to close on May 23, 2025.
About TEKsystems and TEKsystems Global Services
We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.
The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
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.