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Axos Bank

Digital bank offering integrated financial services

Lead AI Engineer

Natural Language Processing & LLMsConfirmed live in the last 24 hours
Full-timeManila, Metro Manila, PhilippinesNo salary listedIn-person

About the Job

Requirements

  • At least 7 years of professional experience in software engineering and/or artificial intelligence or machine learning engineering.
  • At least 3 years leading technical teams or shaping organizational technical strategy.
  • Demonstrated expertise designing and deploying production artificial intelligence systems at scale.
  • A bachelor's degree in Computer Science, Information Technology, Mathematics, or a related discipline, or equivalent demonstrated expertise at a strategic level.
  • Expert-level knowledge across the artificial intelligence stack, including prompt engineering, agentic systems, and enterprise integration patterns.

Responsibilities

  • Define and lead the strategic direction of artificial intelligence engineering across Axos Bank and establish architectural standards for all artificial intelligence initiatives.
  • Design enterprise-scale agentic systems and own the technical vision for domain-specific agents and their integration patterns.
  • Establish and evolve best practices in prompt engineering, large language model integration, and agentic workflow design, and document them as organizational standards.
  • Lead the architecture of sophisticated integrations with internal platforms and establish reusable patterns and frameworks across initiatives.
  • Direct implementation of Model Context Protocol servers and establish governance and data integration standards.
  • Own the strategic artificial intelligence skills and plugin platform, driving adoption and quality across the engineering organization.
  • Establish quality frameworks for artificial intelligence systems, including metrics, testing strategies, and continuous improvement processes.
  • Drive return-on-investment measurement and business impact analysis for artificial intelligence initiatives, and communicate value to executive leadership.
  • Lead cross-functional initiatives to identify and implement artificial intelligence automation opportunities and design organizational workflows.
  • Mentor and develop senior artificial intelligence engineers, shaping their technical growth and leadership capabilities.
  • Champion responsible artificial intelligence practices and establish ethical frameworks and guardrails for artificial intelligence systems.
  • Define architectural decisions and trade-offs, and lead design reviews and architecture governance.
  • Establish discovery and requirements methodology for artificial intelligence-driven solutions, and validate feasibility and strategic alignment.
  • Lead communication of artificial intelligence strategy and accomplishments to executive stakeholders, presenting business cases and return on investment.

Desired Qualifications

  • At least 4 years of hands-on experience with large language models, prompt engineering, and agentic systems in production.
  • A proven track record designing and deploying enterprise-scale artificial intelligence 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, including REST, GraphQL, and gRPC.
  • Leadership experience building and scaling artificial intelligence and machine learning teams, with talent development and mentorship at multiple levels.
  • Deep expertise in continuous integration and continuous delivery, 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 artificial intelligence engineering, large language models, or agentic systems.
  • Expert knowledge of artificial intelligence security, prompt injection mitigation, and responsible artificial intelligence governance frameworks.
  • Advanced experience with Qdrant and expertise in vector database architecture for enterprise scale.
  • Deep expertise in Databricks and enterprise data engineering, with experience architecting data and artificial intelligence solutions.

About the Company

Axos Bank

Digital bank offering integrated financial services

Axos Bank is a financial institution that offers banking, investing, clearing, and custody services in a single platform. It provides traditional banking products for individuals and businesses, and integrates services across money management, investment, and settlement functions to simplify finances. The company operates as a digital-first bank, aiming to connect multiple financial services under one provider rather than requiring customers to use several firms. Its product approach centers on merging banking with other financial services to create a unified experience—one firm with many ways forward. Axos’s goal is to make money work smarter for customers by offering accessible, connected financial solutions and broadening the scope of what a bank can do for individuals, businesses, and institutions.

Company size
501-1,000
Company stage
Not listed
Total funding
Not listed
Headquarters
San Diego, CA
Founded
1999

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