AI Solutions Architect

1 week ago

Sydney, New South Wales, Australia beBeeTechnologist Full time $180,000 - $220,000

Job Description:

  • Architect and implement high-throughput APIs that integrate with and leverage AI services to drive business value.
  • Make key architectural decisions on API security, scalability, reliability, and how to incorporate large language models (LLMs) into the platform.
  • Lead integration solutions using Spring Boot 3.x, reactive patterns (WebFlux), and API gateways (Apigee) while mentoring other developers.
  • Champion improvements in integration best practices (performance, security) with a focus on enabling AI-driven applications and ensuring efficient content retrieval workflows where relevant.
  • Collaborate with AI and platform engineers to design APIs for model inferencing (e.g., hosting endpoints for LLM queries, vector search, or other AI-driven tasks).
  • Implement secure API patterns (OAuth2, JWT, etc.) to protect sensitive data, particularly when fine-tuning or retrieving embeddings for AI models.
  • Leverage Spring Boot 3.x, Spring Security, Spring WebFlux to build production-grade solutions that can scale with AI usage.
  • Drive observability (monitoring, alerting, logging) and reliability practices, ensuring resilience and smooth user experiences.

 

Cross-functional Leadership:
  • Partner with Product Owners to shape technical requirements and best approaches for AI-enabled product features, translating business goals into architectural designs.
  • Lead API design reviews and architecture discussions focusing on AI integration and alignment with the broader microservices ecosystem.
  • Foster a culture of knowledge sharing, especially around LLM usage, integration patterns, and AI code assistants.
  • Drive alignment with Platform Engineering and MLOps practices, ensuring automated deployment of AI-enabled services.

 

Decision Making Scope:
  • Architectural direction for integration patterns that incorporate AI components (e.g., RAG, models, agents).
  • Technology choices for new solutions around Gen AI usage, vector databases, and AI frameworks.
  • API standards and security patterns.
  • SLA and performance requirements.

 

Technical Requirements:Must Have:
  • 8+ years of commercial software development experience, focusing on integration/APIs.
  • Expert knowledge of Spring Framework ecosystem (particularly Boot 3.x, Security, WebFlux).
  • Mastery of API security, including OAuth2, JWT, and API key management.
  • Track record of delivering high-performance, secure system designs.
  • Strong command of cloud services (AWS, Azure or GCP).
  • Experience consuming LLM APIs, orchestrating prompts or agentic workflows.
  • Familiarity with RAG, term/embedding-based search.
  • Daily usage of AI coding assistants to speed up development workflows.
Nice to Have:
  • Real-time data processing and streaming architecture experience.
  • Hosting model endpoints using bedrock or similar.
  • Experience with Kafka or similar message brokers.

 

Skills and Abilities:Technical Excellence:
  • Advanced system architecture and API design capabilities.
  • Expert-level API security implementation knowledge.
  • Deep understanding of cloud-native architectures.
  • Strong performance optimization and troubleshooting skills.
  • Advanced DevOps and automation practices.
Leadership & Impact:
  • Strong stakeholder management capabilities.
  • Advanced problem-solving and analytical skills.
  • Clear technical documentation abilities.
  • Experience driving technical initiatives across teams.

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