Role description
We are seeking an experienced AI Reliability Engineer to design, operate, monitor, and enhance highly reliable AI/ML and Generative AI systems in production. This role focuses on ensuring the availability, performance, scalability, observability, security, and quality of AI-powered applications and services. The ideal candidate combines strong cloud engineering expertise with hands-on experience in AWS or GCP, Python, GenAI, and Terraform to build resilient, production-grade AI platforms.
Key Responsibilities
- Build, deploy, and operate reliable, scalable production platforms for AI/ML and Generative AI workloads.
- Design and maintain cloud infrastructure using AWS or GCP and Infrastructure as Code practices with Terraform.
- Develop and automate platform capabilities using Python to improve operational efficiency and reliability.
- Monitor and optimize AI applications for availability, latency, throughput, scalability, and overall system health.
- Implement observability solutions including metrics, logs, dashboards, ing, and distributed tracing.
- Establish and track service reliability indicators, objectives, and operational metrics for AI services.
- Develop automated processes for incident detection, response, recovery, root cause analysis, and prevention.
- Implement resilience strategies including retries, rate limiting, caching, failover mechanisms, and disaster recovery approaches.
- Build and maintain CI/CD pipelines to support reliable deployment of AI applications and cloud infrastructure.
- Optimize cloud environments for performance, reliability, and cost efficiency.
- Collaborate with AI engineers, developers, platform teams, and security teams to improve production readiness.
- Participate in production support, incident management, post-incident reviews, and continuous reliability improvements.
- Create and maintain operational runbooks, monitoring standards, dashboards, and production-readiness processes.
Required Skills
Proficient
- AWS OR GCP
- Python
- GenAI
- Terraform
Qualifications
- Bachelor's degree in Computer Science, Engineering, Information Technology, or a related discipline, or equivalent practical experience.
- 4-8 years of experience in software engineering, cloud engineering, DevOps, Site Reliability Engineering (SRE), MLOps, or AI/ML engineering.
- Experience operating production-grade cloud-based or AI/ML systems.
- Strong analytical, troubleshooting, communication, and problem-solving skills.
Skills
AWS, Generative AI, Python,terraform
About UST
UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.
