Détails du poste
Rôle du poste
Lead Consultant
Emplacement du poste
Sydney
État / Région / Province
New South Wales
Pays
Australia
Domaine
Delivery
Groupe d’intérêts
Infosys Limited
Entreprise
ITL Australia
Numéro de demande
155757BR
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 businesses with agile digital at scale to deliver unprecedented levels of performance and customer satisfaction. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovative ecosystem.
Recognized as the #1 Top Employer in Australia for the second year in a row, Infosys offers a workplace where careers grow with purpose. As an AI‑first organization, we empower our people to work on next‑generation technologies, continuously learn, and create impact at scale—supported by a culture rooted in care, inclusion, and excellence.
▶️Join Infosys and be part of a culture that’s not just promised—it’s certified. #TopEmployer2026 #ThriveAtInfosys
Visit www.infosys.com to see how Infosys (NYSE: INFY) can help your enterprise navigate your next.
Role Description: Are you passionate about leading transformative technology strategies? We’re looking for a Senior AI Engineer experienced in Full Stack to join our team
Location: Sydney, Australia
Salary: AUD 129,311– 142,018 Annual Gross
Please Note: - The above salary range is only indicative and maybe subject to suitable enhancements, based on internal company processes
Flexible working arrangements (hybrid, reviewed case-by-case basis). Feel free to connect with your recruiter to learn more about how this works in practice.
Roles and Responsibilities:
Lead the design and delivery of modern web applications using React, TypeScript, Next.js, and component-based design systems.
Develop and integrate backend services and APIs using Node.js, TypeScript, Python/FastAPI, Azure Functions, and REST patterns.
Build AI-enabled application features using enterprise LLM platforms, including Azure OpenAI, AWS Bedrock, or Anthropic APIs.
Implement conversational interfaces, real-time token streaming, structured outputs, retrieval-augmented generation, and human-in-the-loop approval workflows.
Design maintainable frontend platforms using microfrontend architecture, Nx, Module Federation, Storybook, and reusable component libraries.
Partner with product, design, architecture, security, data, and backend teams to define API contracts and deliver end-to-end outcomes.
Create automated tests, evaluation datasets, quality gates, and release evidence for both conventional software and AI-enabled features.
Build and improve CI/CD pipelines, release automation, observability, and production monitoring across Azure or AWS environments.
Investigate production issues using logs and telemetry, perform root-cause analysis, and drive fixes through to resolution.
Contribute to technical documentation, engineering standards, code reviews, sprint planning, refinement, and mentoring of engineers.
10+ years of software engineering experience, with substantial delivery experience in senior full stack or frontend-led engineering roles.
Advanced experience with React, TypeScript, modern JavaScript, Next.js or Vite, and responsive component-based application development.
Hands-on backend and integration experience using Node.js and REST APIs; working knowledge of Python/FastAPI or C#/.NET is highly valued.
Experience delivering AI-enabled applications using large language model APIs, prompt or context engineering, structured outputs, and retrieval-based patterns.
Practical experience with automated testing, code review standards, CI/CD, release management, troubleshooting, and production support.
Experience working in established enterprise codebases and delivering features through Agile planning, refinement, testing, release, and support.
Strong communication skills and the ability to translate business and product requirements into scalable, maintainable technical solutions.
Experience in telecommunications, financial services, professional services, or another highly governed environment.
Experience establishing frontend engineering standards, component conventions, and testing protocols.
Exposure to Supabase, PostgreSQL with pgvector, or hybrid search implementations.
Experience leading small engineering teams or mentoring developers.
Scrum Master, Kanban, cloud, or relevant engineering certifications.
Open-source contributions or demonstrable delivery of production-grade AI applications.