Senior IT Tech Lead: AI-Driven Software & Cloud

Allied Reliability

Houston (TX)

On-site

USD 96,000 - 165,000

Full time

2 days ago
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Job summary

Allied Reliability is seeking a Sr Tech Lead - Software Engineering & AI in Houston to lead the design, development, deployment, and operation of production-grade digital products that blend strong software engineering with applied AI and GenAI capabilities.

The role carries a balanced 50:50 focus on architecture, APIs, platforms, cloud-native delivery, reliability, and security, while shaping practical AI use for business problems across lines of business.

Qualifications

  • 8+ years in software engineering and AI product delivery.
  • Strong experience with Python, Java, and JavaScript/TypeScript.
  • Proven ability to design and operate scalable, secure, cloud-native systems.

Responsibilities

  • Design, build, and deploy production-grade applications and services embedding AI/GenAI.
  • Lead engineering direction for APIs, platforms, and cloud-native patterns.
  • Mentor engineers in coding standards, design, testing, and responsible AI use.
  • Partner with PMs to translate requirements into scalable AI-enabled solutions.
  • Ensure reliability, performance, observability, and security across services.

Skills

Python
Java
JavaScript/TypeScript
JVM-based technologies
APIs
Cloud-native platforms
Kubernetes
CI/CD pipelines
AI/GenAI
GenAI
Security
Reliability

Education

Bachelor's degree in Computer Science or related field
Master's degree in Computer Science or related field
PhD in a technical discipline

Tools

Kubernetes
CI/CD pipelines
Cloud platforms (AWS/Azure/GCP)

Job description

Allied Reliability is seeking a Sr Tech Lead - Software Engineering & AI in Houston to lead the design, development, deployment, and operation of production-grade digital products that blend strong software engineering with applied AI and GenAI capabilities.

The role carries a balanced 50:50 focus on architecture, APIs, platforms, cloud-native delivery, reliability, and security, while shaping practical AI use for business problems across lines of business.

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