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USAA

Sells insurance and banking to military families

Lead AI Ops Engineer - Infrastructure

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeSan Antonio, TX, USA

About the Job

Requirements

  • A bachelor's degree, or four years of relevant education and/or experience.
  • At least seven years of hands-on infrastructure, platform, or site-reliability engineering experience, including sustained ownership of production systems at meaningful scale.
  • A track record of serving as the de facto technical authority on a team, including leading technical design reviews and setting engineering standards for senior-level engineers.
  • Deep expertise in productionizing machine-learning models for infrastructure operational data using frameworks such as TensorFlow, PyTorch, or scikit-learn, plus advanced hands-on expertise with infrastructure-as-code and orchestration tooling such as Terraform, Ansible, and Kubernetes operators, including setting team conventions.
  • Demonstrated experience designing and defending production automation executed against a regulated institution’s production infrastructure, including defensible approval-gate and rollback design.
  • Demonstrated judgment under real incident pressure, including the experience and credibility to halt automation mid-incident.

Responsibilities

  • Own the technical design and architecture for the domain’s highest-ambiguity or highest-consequence AIOps builds, personally shipping the hardest components.
  • Set technical standards and reusable patterns for telemetry-consuming feature pipelines, topology-graph design, and infrastructure-as-code remediation scaffolding for Senior and Associate engineers.
  • Lead the domain’s progression up the autonomy ladder with the Director, determine which infrastructure use cases are ready to advance toward guarded or self-healing automation, and own the supporting evidence package.
  • Serve as the primary technical escalation point during major incidents, make real-time kill-switch decisions, and lead postmortems that turn lessons into updated standards.
  • Mentor the domain’s Senior engineers on technical depth and judgment, help grow the next Lead, and regularly ship production code and infrastructure-as-code.

Desired Qualifications

  • Demonstrated experience establishing technical standards, architecture patterns, and engineering practices for Infrastructure AI Ops solutions adopted across engineering teams.
  • Experience serving as a senior technical escalation point during critical production incidents, providing technical leadership and decision-making for complex infrastructure automation solutions.
  • Experience designing and implementing operational AI evaluation, safety, and control frameworks that scale and are adopted across multiple teams or functions.
  • Experience designing or operating highly autonomous, self-healing infrastructure capabilities, including automated production remediation and the technical controls, validation, governance, and evidence required to support implementation.
  • Demonstrated experience representing engineering in engagements with Model Risk Management, Internal Audit, or similar governance functions, and communicating and resolving complex technical, risk, and control considerations.
  • US military experience gained through military service or as a military spouse or domestic partner.

About the Company

USAA

Sells insurance and banking to military families

USAA sells insurance, banking and investment products to U.S. military members, veterans and their families, and membership is limited to that community and eligible relatives. It began when Army officers who struggled to get car coverage agreed to insure each other, and auto and home insurance remain its core business. Members can also open checking and savings accounts, carry credit cards, take out auto loans and mortgages, and buy life insurance, annuities and retirement accounts. The company earns money from insurance premiums, loan interest, card fees and investment management. USAA was founded in 1922 and is based in San Antonio, Texas.

Company size
10,001+
Company stage
Not listed
Total funding
Not listed
Headquarters
San Antonio, TX
Founded
1922

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