Job ID: JOB_ID_6818
Job Title: Senior AI Engineer
Location: Houston, TX (4 days onsite, 1 day remote)
Experience: 10+ years
About the Role:
As a Senior AI Engineer, you will be instrumental in partnering with business and technical stakeholders to identify and implement cutting-edge agentic AI and machine learning solutions. Your work will directly contribute to improving decision-making processes, optimizing workflows, and driving automation across the organization. You will be responsible for designing and implementing robust, cloud-native AI architectures, primarily leveraging Microsoft Azure services and adhering to established AI design patterns.
Key Responsibilities:
- 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.
Special Requirements
Student Visa will not work. Hybrid work model (4 days onsite, 1 day remote). Screening notes required for resumes.
Compensation & Location
Salary: $70 – $90 per year (Estimated)
Location: Houston, TX
Recruiter / Company – Contact Information
Recruiter / Employer: Tanisha Systems Inc.
Email: ngh@tanishasystems.com
Recruiter Notice:
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ngh@tanishasystems.com with the subject:
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