API Architect

Axos Bank Target Range:$ /Yr.

- $ /YrActual starting pay will vary based on factors including, but not limited to, geographic location, experience, skills, specialty, and education.

Eligible for an Annual Discretionary Cash Bonus Target: 10%
Eligible for an Annual Discretionary Restricted Stock Units Bonus Target: 10%
These discretionary target bonuses may be awarded semi-annually based upon your achievement of performance goals and targets.

About This Job At Axos, we're building the next generation of banking technology. The API Architect will lead the strategy, governance, and evolution of our enterprise API platform while expanding its capabilities as a secure AI gateway. This role drives the standards, tools, and frameworks that enable teams to rapidly deliver innovative digital and AI-powered solutions while maintaining enterprise-grade security, compliance, reliability, and observability.

Working closely with engineering, AI/ML, and security teams, the API Architect will define platform roadmaps, establish governance and lifecycle management standards, and oversee modernization efforts across APIs, AI integrations, and Model Context Protocol (MCP) services on Apigee X. This leader will play a critical role in accelerating innovation, improving developer experience, and ensuring Axos remains at the forefront of secure, scalable, AI-enabled financial technology.

Responsibilities:

Design and operate a comprehensive API and AI gateway governance framework on Apigee X, covering REST/SOAP services, LLM proxies, and MCP servers under a single policy plane

Own governance of the platforms and of the AI solutions and workloads built on them — define and enforce solution standards, risk tiering, approval and promotion gates, observability requirements, and compliance attestation, holding consuming engineering teams accountable to them Develop enterprise-wide API and AI consumption strategy, including model routing, token-aware rate limiting, semantic caching, and cost-attribution for LLM workloads

Establish MCP server governance patterns — auth (OAuth/Entra ), audit, rate limiting, and policy enforcement on every MCP tool call exposed to internal AI agents or external consumers

Implement AI safety controls for prompt-injection defense, PII detection/redaction, jailbreak detection, and response filtering

Define LLM API design standards covering provider abstraction (Vertex AI, Anthropic, OpenAI, Bedrock), failover, prompt/response logging, and red-team evaluation

Create security and compliance protocols for the API and AI ecosystem aligned to financial services regulatory requirements (BSA, GLBA, CCPA) and emerging AI guidance (NIST AI RMF, ISO/IEC 42001)
Design scalable microservices and AI-agent integration architectures, including agent-to-tool and agent-to-API interaction patterns through the gateway

Develop platform performance, reliability, and observability strategies — including token consumption telemetry, model latency tracking, and SLO management for AI endpoints

Partner with the Center of Excellence (CoE) to define citizen developer and AI agent enablement patterns that route all programmatic AI access through the governed gateway

Actively contribute to technical implementation across Apigee X proxies, shared flows, Model Armor templates, and MCP server integration when team resources are constrained

Team Management Requirements:

Performance management and professional development, including building team capability in AI and LLM operations

Resource allocation and project planning across concurrent API modernization (Apigee Edge Apigee X) and AI gateway buildout

Technical coaching on Apigee X policies, MCP protocol patterns, and LLM integration best practices

Ability to step in and perform…