Principal Engineer, Software - AIOps [T500-20350]

ANSR is hiring for one of its clients.

About T-Mobile :

T-Mobile US, Inc. (NASDAQ : TMUS), headquartered in Bellevue, Washington, is America’s supercharged Un-carrier, connecting millions through its strong nationwide network and flagship brands, T-Mobile and Metro by T-Mobile. Customers benefit from an unmatched combination of value, quality, and exceptional service experience.

TMUS Global Solutions :

TMUS Global Solutions is a world-class technology powerhouse accelerating the company’s global digital transformation. With a culture built on growth, inclusivity, and global collaboration, the teams here drive innovation at scale, powered by bold thinking.

TMUS India Private Limited is a subsidiary of T-Mobile US, Inc. and operates as TMUS Global Solutions.

About the Role :

As Principal Engineer – AIOps, you will be a key member of the CFL Platform Engineering and Operations team you will lead the development of AI-driven operational strategies, observability systems, and automated remediation pipelines that drive resiliency, self-healing, and real-time insight across cloud-native platforms. You will architect telemetry-rich systems, influence enterprise-wide reliability frameworks, and power the next generation of operational intelligence for large-scale AI / ML platforms.

What You’ll Do :

• Architect AI-driven pipelines for monitoring, alerting, remediation, and capacity optimization
• Lead platform observability strategy across LLMs, inference APIs, and AI model infrastructure
• Build and operate self-healing, event-driven automation systems using telemetry and anomaly detection
• Define and integrate AIOps architecture using tools like OpenTelemetry, Prometheus, Splunk, Solo Gateway, and custom LLM agents
• Partner with data science teams to turn model insights into real-time operational signals
• Lead implementation of zero-downtime operations, production-safe chaos testing, and feedback loops
• Scale observability for AI metrics : latency, token usage, drift, throughput, and cost efficiency
• Drive GitOps and CI / CD practices using GitLab and cloud-native automation
• Mentor engineers across observability, reliability, MLOps / LLMOps, and platform automation
• Collaborate with ML, platform, and SRE teams to define SLAs, escalation strategies, and platform-wide reliability goals
• Present engineering strategy, progress, and outcomes to senior leadership

What You’ll Bring :

Must Have Skills :

Nice To Have :