Technical Lead – AI Ops

TIAA

Technical Lead for AI Operations team at TIAA driving IT operations transformation through AI and ML. Leading development of automated solutions for improved efficiency and resilience.

Posted 6/17/2026full-timeFrisco • New Jersey, North Carolina, Texas • 🇺🇸 United StatesSenior💰 $130,000 - $154,000 per yearWebsite

Tech Stack

Tools & technologies

AnsibleApacheAWSAzureCloudJavaKafkaPythonSplunk

About the role

Key responsibilities & impact

Design and implement a robust, enterprise-grade AIOps platform supporting production operations teams across the full incident lifecycle
Integrate observability platforms such as Dynatrace, Moogsoft, and Splunk with AI/ML capabilities for anomaly detection and operational insights
Build and maintain an agentic AI-powered virtual assistant for operational queries
Design and maintain interactive dashboards providing real-time visibility into operational metrics
Collaborate with the GAIT Center of Excellence to implement GenAI-based solutions that automate report generation
Architect and implement AI/ML algorithms to boost IT operational efficiency and recommend preventive actions
Lead, mentor, and develop a team of Site Reliability and AIOps engineers

Requirements

What you’ll need

At least 5 years of experience in a Technology Role
Experience with programming languages - Python and/or Java
Experience, hands-on with cloud platforms (AWS, Azure, or Google Cloud)
Experience using observability tools like Moogsoft, Dynatrace, or Splunk
Familiarity with data processing frameworks such as Apache Kafka and automation tools such as Ansible Tower
Solid understanding of machine learning algorithms and data analysis techniques
Practical experience designing and working with agentic systems and automation agents
Excellent problem-solving, communication, and interpersonal skills
Master’s degree in computer science, Data Science, AI/ML, or a related field
Professional certifications in cloud, AI/ML, or data engineering (e.g., AWS Certified Machine Learning Specialty, Google Professional Data Engineer)
Experience with DevOps practices and CI/CD pipelines
Familiarity with Agile development methodologies

Benefits

Comp & perks

Health insurance
Superior retirement program
Highly competitive health, wellness, and work life offerings

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonJavaAWSAzureGoogle CloudMoogsoftDynatraceSplunkApache KafkaAnsible Tower

Soft Skills

problem-solvingcommunicationinterpersonalleadershipmentoring

Certifications

AWS Certified Machine Learning SpecialtyGoogle Professional Data Engineer