Technical Lead - AI OPs

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Technical Lead - AI OPS We are seeking a highly skilled and visionary Technical Lead, AIOps, to join our growing AI Operations team. In this pivotal role, you will drive the transformation of IT operations through the strategic application of Artificial Intelligence, Machine Learning, and Big Data analytics. You will architect and deliver cutting-edge automated solutions that leverage observability platforms, advanced ML algorithms, and robust data analysis frameworks to improve system resilience, production availability, and operational efficiency. This is a technical leadership position at the intersection of innovation and operations. You will lead a team of high-performing Site Reliability and AIOps engineers, guiding them through complex technical challenges while fostering a culture of collaboration, continuous improvement, and innovation. Key Responsibilities and Duties AIOps Platform Design and Delivery Design and implement a robust, enterprise-grade AIOps platform supporting production operations teams across the full incident lifecycle - from initial observation through engagement and resolution. Observability and Intelligent Monitoring Integrate observability platforms such as Dynatrace, Moogsoft, and Splunk with AI/ML capabilities to enable early anomaly detection, trend analysis, and actionable operational insights. Agentic AI Development Build and maintain an agentic AI-powered virtual assistant that delivers instant, intelligent responses to operational queries - including incident summaries, root-cause analysis, and recommended remediation steps. Real-Time Dashboards and Metrics Design and maintain interactive dashboards providing real-time visibility into key operational metrics such as MTTA and MTTR, enabling proactive decision-making across engineering and leadership teams. Generative AI and Automation Collaborate with the GAIT Center of Excellence to implement GenAI-based solutions that automate report generation and streamline operational workflows. Partner with Lines of Business development teams to automate routine tasks and reduce manual intervention. AI/ML Algorithm Architecture Architect and implement AI/ML algorithms tailored to boost IT operational efficiency, predict system failures, and recommend preventive actions before issues impact end users. Team Leadership and Stakeholder Engagement Lead, mentor, and develop a team of Site Reliability and AIOps engineers. Engage effectively with both technical and non-technical stakeholders to ensure AIOps tools are understood, valued, and widely adopted across the organization. Educational Requirements Bachelor's Degree Required Work Experience 5 Years Required; 7 Years Preferred Physical Requirements Physical Requirements: Sedentary Work Career Level 9IC Required Skills: 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 Preferred Skills: At least 7+ years of experience in a technology role. 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 Demonstrated ability to lead and develop high-performing engineering teams 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 Related Skills Agile Methodology, Continuous Integration and Deployment, Data Analysis, Debugging, DevOps, Enterprise Application Integration, Operating Systems Management, Problem Solving, Programming, Software Development, Software Development Life Cycle, Web Application Development Anticipated Posting End Date: 2026-06-23 Base Pay Range: $130,000/yr - $154,000/yr Actual base salary may vary based upon, but not limited to, relevant experience, time in role, base salary of internal peers, prior performance, business sector, and geographic location. In addition to base salary, the competitive compensation package may include, depending on the role, participation in an incentive program linked to performance (for example, annual discretionary incentive programs, non-annual sales incentive plans, or other non-annual incentive plans). _____________________________________________________________________________________________________ Company Overview Every worker deserves a secure retirement. For more than 100 years, TIAA has delivered it for millions of people. Founded to help educators retire with dign

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