Senior AI & Data Reliability Architect

Truist; Charlotte (NC); On-site; USD 130,000 - 175,000; Full time

Benefits offered by this job

Medical, dental, vision

401k plan

Paid time off

Job summary

Truist seeks a Senior AI and Data Consultant to lead reliability and operational excellence across hybrid cloud and on‑prem environments. You will drive observability, automation, fault tolerance, and incident management with cross‑domain influence and hands‑on cloud expertise.

In this role you will partner with Architecture, Security, and Risk teams to elevate operational maturity, deliver scalable services, and implement enterprise observability standards using Dynatrace, Splunk, and modern

Qualifications

• Bachelor’s degree in CS/Data/AI or related field.
• Minimum of 7 years of professional experience in AI and data.
• Strong knowledge of AI models, data architectures, and analytics methodologies.

Responsibilities

• Lead cloud operational support and modernization efforts in AWS and hybrid environments.
• Architect automation to reduce toil and MTTR and improve resilience.
• Develop and enforce incident playbooks, escalation paths and communication frameworks.
• Implement intelligent alerting, anomaly detection, and event correlation with AI/AIOps.
• Define and promote SRE practices, dashboards, and KPIs.
• Mentor SREs and drive modernization initiatives across the organization.

Skills

AI models

Data architectures

Analytics methodologies

Education

Bachelor’s degree in Computer Science, Data Science, AI, Software Engineering, or related field

Tools

Terraform

CloudFormation

AWS IAM

EC2

AMIs

VPCs

Dynatrace

Splunk

Job description

Truist seeks a Senior AI and Data Consultant to lead reliability and operational excellence across hybrid cloud and on‑prem environments. You will drive observability, automation, fault tolerance, and incident management with cross‑domain influence and hands‑on cloud expertise.

In this role you will partner with Architecture, Security, and Risk teams to elevate operational maturity, deliver scalable services, and implement enterprise observability standards using Dynatrace, Splunk, and modern