Descripción del trabajo

About Us:
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 56 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

Visit www.infosys.com to see how Infosys (NYSE: INFY) can help your enterprise navigate your next.

Location: Sydney
Salary Range: 129311-142018 AUD Annual Gross

Infosys is seeking a highly skilled and motivated Lead Consultant to join our DNA team. As a Senior AI Engineer, you will blend strong backend engineering skills with practical AI/LLM expertise to design and deliver high-quality, AI-enabled software. You will lead or collaborate with a cross-functional team of software engineers, DevOps engineers, QA, and product owners to build robust distributed systems that incorporate modern AI capabilities, particularly Large Language Models (LLMs).

Key Responsibilities

• Architect and implement high-throughput APIs that integrate with and leverage AI services
• Make key architectural decisions on API security, scalability, reliability, and how to incorporate LLMs (OpenAI, Anthropic, etc.) into our 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

• 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 our broader microservices ecosystem
• Foster a culture of knowledge sharing, especially around LLM usage, integration patterns, and AI code assistants (GitHub Copilot, etc.)
• 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 (SpringAI, LangGraph, LangChain, CrewAI)
• API standards and security patterns
• SLA and performance requirements

Technical Requirements

• 8+ years of commercial software development, 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 AWS, Azure or GCP cloud services
• Experience consuming LLM APIs (OpenAI, Anthropic, etc.), orchestrating prompts or agentic workflows
• Familiarity with RAG (retrieval-augmented generation), term/embedding-based search
• Daily usage of AI coding assistants (e.g., GitHub Copilot) to speed up development workflows

• Real-time data processing and streaming architecture experience
• Hosting model endpoints using bedrock or similar
• Graph API implementation experience
• Experience with Kafka or similar message brokers

Skills and Abilities

• 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