2 days ago
San Antonio, TX, USAStaff+
Responsibilities
- Lead the engineering discipline and provide hands-on technical direction for enterprise-wide AI-DLC adoption.
- Translate transformation needs into prioritized requirements and guide the AI Platform engineering team.
- Design AI-driven workflows spanning requirements, architecture, implementation, testing, security validation, release, deployment, and production feedback.
- Establish human decision gates, reference architectures, engineering standards, reusable patterns, and production-readiness expectations.
- Build reference implementations and integrate AI-DLC with repositories, development environments, testing, security, change, release, and monitoring capabilities.
- Develop reusable services, APIs, components, agent tools, templates, instructions, evaluation frameworks, and integration patterns.
- Partner with business, architecture, governance, API management, security, risk, and engineering teams to embed scalable capabilities and controls.
- Define secure patterns for agent context, tools, APIs, identity, permissions, execution environments, failure handling, and output validation.
- Develop automated evaluations and quality gates for AI-generated engineering artifacts.
- Measure adoption, engineering capacity, cycle time, quality, automation, control effectiveness, developer experience, and business outcomes.
- Lead cross-functional engineering efforts, mentor engineers, influence senior leaders, and advise the executive accountable for AI-DLC.
- Identify, measure, monitor, and control risks in accordance with risk and compliance policies.
Requirements
- Bachelor’s degree in a related field or four years of relevant education and/or experience.
- At least eight years of broad software engineering, platform engineering, cloud engineering, DevOps, developer productivity, or related technology experience.
- At least three years of technical leadership for complex, cross-functional, portfolio-level, or enterprise engineering initiatives.
- At least six years delivering technology solutions across multiple software development lifecycle phases.
- Experience leading enterprise transformations involving AI-assisted development, agentic software engineering, AI-native development, or AI-driven software delivery.
- Extensive experience designing secure, resilient, scalable, observable, and maintainable platforms or distributed systems used by multiple engineering teams.
- Advanced software engineering experience in Python or another modern programming language, including APIs, integrations, automation, distributed systems, testing, and production services.
- Advanced experience with public cloud architecture, DevSecOps, infrastructure as code, automated testing, observability, incident response, and Site Reliability Engineering.
- Experience integrating new engineering capabilities into established delivery processes, security controls, and operational practices.
- Ability to establish technical direction, reference architectures, engineering standards, reusable patterns, roadmaps, and measurable outcomes.
- Ability to lead architecture, code, design, security, control, and implementation reviews and resolve complex cross-system issues.
- Strong business acumen in technology investment, engineering productivity, operational management, cost optimization, risk management, and organizational change.
- Experience mentoring experienced engineers and leading technical work across teams without relying exclusively on direct reporting authority.
- Preferred experience with AI coding assistants, specification-driven development, custom agents, agent orchestration, Amazon Bedrock, Model Context Protocol, human-in-the-loop controls, AI evaluations, enterprise development platforms, and AI governance.
Benefits
- The role requires working in the San Antonio, Texas office four days per week; remote or hybrid flexibility may be available to active-duty military spouses subject to policy and business needs.
- Relocation assistance is not available.
- Benefits include medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off, paid holidays, 16 paid volunteer hours, wellness programs, career path planning, and continuing education.
- Applications are accepted on an ongoing basis until the position is filled.
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About USAA
USAA is a membership-based financial services company serving U.S. military members, veterans, and their families with banking, insurance, and investment products. It offers auto, home, and life insurance; checking and savings; credit cards; loans; and retirement and brokerage services, delivered primarily online and by phone. Founded in 1922 and headquartered in San Antonio, Texas, it is privately held and built around a member-owned insurance exchange and affiliated financial subsidiaries.