AI Ops/ Sre ,Senior Architect

Job Title: AI Ops – Senior Architect

Location: Phoenix, AZ (Hybrid)

Job Description:

Exp 15+ Years

We are seeking a highly skilled AI Ops – Senior Architect to lead the design, implementation, and optimization of AI-driven operational platforms across large-scale, mission-critical environments. The ideal candidate will possess deep expertise in machine learning–enabled operations, observability, automation frameworks, cloud engineering, and enterprise SRE/DevOps practices. This role will drive the transformation of traditional IT operations into intelligent, autonomous, self-healing systems. The Senior Architect will collaborate with cross-functional engineering, cloud, platform, and data science teams to deliver predictive, proactive, and automated operational outcomes.

Required Skills & Experience

12+ years of IT experience with 5+ years in SRE/DevOps/AI Ops architecture.

Strong expertise in:

AI Ops platforms (Moogsoft, Dynatrace Davis AI, BigPanda, New Relic AI, Datadog AIOps)

Observability stacks (Prometheus, Grafana, ELK, Splunk, AppDynamics)

ML pipelines and ML Ops tooling (SageMaker, Vertex AI, MLflow, Databricks)

Cloud architectures on AWS / Azure / GCP

Event-driven systems and automation tools

Strong programming/scripting in Python, Go, or Java for automation and ML integration.

Experience with Kubernetes, Docker, microservices, and distributed systems.

Deep understanding of time-series analysis, anomaly detection, NLP, and predictive analytics.

Experience operationalizing ML models and integrating them into production systems.

Preferred Qualifications

Certifications in cloud architecture or ML engineering.

Background in enterprise-scale SRE, observability, or operations automation.

Experience with LLM-based automation and AI agents for IT operations.

Experience in highly regulated industries (Finance, Healthcare, Telecom).