Senior AI Engineer (Contract & FTE both)-1
Role summary
We are seeking a Senior AI Engineer to partner with business and technical stakeholders to implement agentic AI and machine learning solutions. You will design and deploy cloud-native AI architectures on Microsoft Azure, transforming prototypes into production-ready, scalable systems. Responsibilities include building, deploying, and operating enterprise-scale ML pipelines with an emphasis on reliability, performance, and security, leveraging MLOps, CI/CD, and containerization technologies like Docker and Kubernetes. A strong understanding of cloud security and automation is essential. This role requires 5+ years of experience in AI/ML engineering and a proven track record of delivering production AI/ML solutions in a cloud environment.
Houston, Texas 77001 Posted March 29th, 2026
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Job Type: Full Time
Job Category: IT
Job Description
Job Title : Senior AI Engineer
Location : Houston, TX (Hybrid – 4days ONSITE)
Contract & FTE both
Job Description
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 mind-set with a focus on delivering business value quickly and reliably
Required Skills
DEVOPS ENGINEER
SENIOR EMAIL SECURITY ENGINEER