Sr AI Engineer

Hybrid in Houston, TX, US • Posted 4 days ago • Updated 4 days ago
Contract Independent
Contract W2
No Travel Required
Hybrid
Depends on Experience
Fitment

Dice Job Match Score™

⏳ Almost there, hang tight...

Job Details

Skills

  • AI
  • Azure
  • GenAI
  • AI/ML
  • ML Pipelines
  • Azure Machine Learning
  • CI/CD
  • Docker
  • Kubernetes

Summary

Job Details
Senior AI Engineer 
Houston, TX (4 Days of the week (Mon-Thurs) and work from home on Friday)
Fulltime and Long Term Contract 


Key Responsibilities
As an AI Engineer, you will:
Partner with business and technical stakeholders to identify and implement agentic AI and machine learning solutions that improve decision making, workflows, and automation
Design and implement cloud native AI architectures using Microsoft Azure services and established AI design patterns
Collaborate with Data Scientists and other AI Engineers to transform prototypes into production ready, scalable solutions
Build, deploy, and operate enterprise scale machine learning pipelines, emphasizing reliability, performance, and security
Orchestrate and configure infrastructure that enables low latency, resilient AI workloads, leveraging infrastructure as code and automation
Contribute to reusable accelerators, templates, and patterns that improve delivery speed and consistency across teams
Support CI/CD, monitoring, and operational practices for AI and ML systems in production environments

Required Technical Skills
Strong experience with Microsoft Azure, including AI/ML services and cloud native architecture
Hands on experience deploying and operating ML pipelines using Azure Machine Learning
Proficiency in Python and modern software engineering practices
Experience with automation and configuration management, including Ansible
Solid understanding of MLOps, model lifecycle management, and CI/CD for AI systems
Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes)
Working knowledge of security, identity, and access control in enterprise cloud environments

Preferred Skills
Experience with Microsoft Foundry
Experience implementing or operating agentic AI systems
Familiarity with data engineering tools such as Databricks, Spark, Azure Data Factory
Experience integrating AI services (e.g., cognitive services, computer vision, unstructured data processing)

Experience Requirements
5+ years of experience in software engineering, AI engineering, or machine learning engineering roles
Proven experience delivering production AI or ML solutions in a cloud environment
Experience collaborating with cross functional teams across data science, engineering, and architecture

Ways of Working
Ability to work independently as a contractor while integrating effectively with existing teams
Strong communication skills, with the ability to explain complex technical concepts clearly
Results oriented mindset with a focus on delivering business value quickly and reliably

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.
  • Dice Id: 91088983
  • Position Id: AK-1
  • Posted 4 days ago
Create job alert
Set job alertNever miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

Houston, Texas

4d ago

Easy Apply

Contract, Third Party

Depends on Experience

Houston, Texas

Today

Easy Apply

Third Party

$DOE

Houston, Texas

Today

Easy Apply

Full-time, Contract

USD0 - USD0

Houston, Texas

22d ago

Easy Apply

Third Party, Contract

Depends on Experience

Search all similar jobs