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