Tanisha Systems INC

Full-Time/Contract Role || Senior AI Engineer || Houston, Tx/Hybrid.

Tanisha Systems INCContract
Texas
9 - 35 YearsMar 27th, 2026
45 ViewsBe an Early Applicant
Required Skillset:
AI

Job Description

Position : Senior AI Engineer

Location : Houston, TX/Hybrid – (4 days of the week (Mon-Thurs) and work from home on Friday)
Job Type : Full-Time/Contract (Long-Term)

 

Job Description:

 

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

 
                    Warm Regards,

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