Senior AI Engineer (Contract & FTE both)-5
Role summary
Seeking a Senior AI Engineer in Houston, TX for a hybrid role (4 days onsite). This position involves partnering with stakeholders to implement AI/ML solutions, designing cloud-native AI architectures on Microsoft Azure, and transforming prototypes into production-ready systems. The role requires building, deploying, and operating enterprise-scale ML pipelines with an emphasis on reliability, performance, and security, leveraging MLOps, CI/CD, containerization (Docker, Kubernetes), and automation (Ansible). A strong background in Python and modern software engineering practices is essential, along with experience in cloud security. Preferred experience includes Microsoft Foundry, agentic AI systems, and data engineering tools like Databricks.
Houston, Texas 77001 Posted April 2nd, 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