About This Job
Lead Axos Bank's AI engineering function as a strategic technical leader. You will architect our next-generation AI platform, establish engineering standards and best practices, mentor senior engineers, and drive organizational transformation toward AI-native development. You'll work at the intersection of technology strategy and business impact, owning our AI engineering vision and execution.
Responsibilities
- Define and lead the strategic direction of AI engineering across Axos Bank; establish architectural standards for all AI initiatives
- Design enterprise-scale agentic systems; own technical vision for domain-specific agents and their integration patterns
- Establish and evolve best practices in prompt engineering, LLM integration, and agentic workflow design; document as organizational standards
- Lead architecture of sophisticated integrations with internal platforms; establish patterns and frameworks for reuse across initiatives
- Direct implementation of Model Context Protocol (MCP) servers; establish governance and data integration standards
- Own strategic AI skills and plugin platform; drive adoption and quality across the engineering organization
- Establish quality frameworks for AI systems; define metrics, testing strategies, and continuous improvement processes
- Drive ROI measurement and business impact analysis for all AI initiatives; communicate value to executive leadership
- Lead cross-functional initiatives to identify and implement AI automation opportunities; design organizational workflows
- Mentor and develop senior AI engineers; shape their technical growth and leadership capabilities
- Champion responsible AI practices; establish ethical frameworks and guardrails for all AI systems
- Define architectural decisions and trade-offs; lead design reviews and architecture governance
- Establish discovery and requirements methodology for AI-driven solutions; validate feasibility and strategic alignment
- Lead communication of AI strategy and accomplishments to executive stakeholders; present business cases and ROI
Key Skill Sets or Knowledge Requirements
- Customer Obsession: Relentlessly drives developer experience and customer value through intelligent automation; sets organizational standards.
- Strategic Leadership: Inspires and influences teams across organizational boundaries; shapes AI engineering culture and practices.
- Results Driven: Owns outcomes, removes blockers, and drives measurable business impact through strategic AI initiatives.
- Ethics & Governance: Champions responsible AI practices; establishes frameworks and guardrails for enterprise AI systems.
- Innovation at Scale: Identifies and implements emerging AI technologies with strategic business alignment; leads architectural evolution.
- Technical Excellence: Expert-level knowledge across the AI stack-from prompt engineering to agentic systems to enterprise integration patterns.
- Executive Communication: Translates complex AI concepts for executive audiences; communicates strategic value and ROI with clarity.
Desired Career Experience & Education Requirements
- 7+ years of professional experience in software engineering and/or AI/ML engineering
- 3+ years leading technical teams or shaping organizational technical strategy
- Demonstrated expertise in designing and deploying production AI systems at scale
- Bachelor's Degree in Computer Science, Information Technology, Mathematics, or related discipline (or equivalent demonstrated expertise at strategic level)
Nice to Have
- 4+ years of hands-on experience with Large Language Models, prompt engineering, and agentic systems in production
- Proven track record designing and deploying enterprise-scale AI platforms and agent networks
- Expert-level proficiency in Python and JavaScript with deep knowledge of software architecture and design patterns
- Experience with enterprise API ecosystems and complex integration challenges (REST, GraphQL, gRPC)
- Leadership experience building and scaling AI/ML teams; talent development and mentorship at multiple levels
- Deep expertise in CI/CD, automated testing, quality frameworks, and engineering culture
- Strategic experience in financial services, banking, fintech, or other heavily regulated industries
- Published thought leadership or conference presentations on AI engineering, LLMs, or agentic systems
- Expert knowledge of AI security, prompt injection mitigation, and responsible AI governance frameworks
- Advanced experience with Qdrant; expertise in vector database architecture for enterprise scale
- Deep expertise in Databricks and enterprise data engineering; experience architecting data + AI solutions
About Axos
Born digital-first, Axos delivers financial tools and services that allow individuals, small businesses, and companies to access and manage their money how, when, and where they want. We're a diverse team of dynamic, insightful, and independent innovators who are excited to provide technology-driven solutions that offer unbeatable va