Senior AI Engineer (Contract & FTE both)-4
Role summary
Seeking a Senior AI Engineer for a hybrid role in Houston, TX, offering both contract and full-time employment. The engineer will design, implement, and operate cloud-native AI/ML solutions on Microsoft Azure, focusing on agentic AI, machine learning pipelines, and MLOps. Responsibilities include transforming prototypes into production-ready systems, orchestrating infrastructure, and ensuring reliability, performance, and security. The role requires strong Python skills, modern software engineering practices, and experience with containerization and automation tools like Docker, Kubernetes, and Ansible. Collaboration with data scientists and business stakeholders is key to improving decision-making and automation.
Houston, Texas 77001 Posted April 1st, 2026
Looking for more job opportunities? Click here!
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