Senior AI Engineer
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Job Location:
Houston, MS - USA
Monthly Salary:
Not Disclosed
Posted on:
8 hours ago
Vacancies:
1 Vacancy
Job Summary
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
