AI Tech Lead

About Infosys 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 three 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. Role Overview Job Title: AI Tech Lead Location: Perth Salary Range: AUD 108,571 - 119,893 (Annual Gross) Experience: 10+ years of overall experience. Key Responsibilities Collaborate with the Business Engagement Lead to understand the business use case and translate requirements into a robust technical solution. Coordinate with the remote POD team (a dedicated group of engineers) to drive successful implementation of the solution. Lead the pod’s day-to-day development and technical decisions. Provide technical leadership and guidance to the POD team, ensuring alignment with solution architecture and delivery goals. Translate product objectives into implementation plans and sprint goals. Key Skills Required (Must Have) Python coding for backend APIs, optionally Nodejs, Typescript React.js – for front end AWS services – Server less with Lambda, API Gateway, Step functions, SQS, S3, DB (Postgre, SQL) CI/CD – Github actions, AWS CDK/Cloud Formation Understanding of various AWS services Provide technical leadership Additional Skills Proficient in Node.js and Python (or Type script) Strong experience with AWS services for building and deploying applications Database design expertise and hands-on experience working with various databases Experience in setting up and managing CI/CD pipelines Familiarity with unit testing frameworks and best practices Solid understanding of AWS cloud architecture Practical knowledge of implementing agentic AI for business use cases Engineering & Architecture Strong experience with cloud-native development, including secure handling of secrets, environment variables, and service configurations. Proficiency in CI/CD pipelines for AI systems and microservices. Familiarity with team-based access control, code ownership, and repository governance. Skilled in modern programming languages and infrastructure-as-code practices. Ability to manage API specifications and service integrations across platforms. Experience agile software development Leadership & Collaboration Expectations Ability and willingness to collaborate with Perth based Engagement Lead daily supporting the discovery phase of initiatives Lead technical design decisions and resolve blockers across pods. Manage code reviews, shared modules, and ensure engineering consistency. Drive agile development practices including sprint planning, backlog grooming, and velocity tracking. Foster a culture of growth mindset, technical excellence, encouraging experimentation, learning from failure, and continuous improvement. Support onboarding and mentoring of developers and AI engineers. Engage with business stakeholders when needed (Inform Engagement Lead). Communication & Stakeholder Engagement Expectations Work closely with the Tech Chapter Lead and Engagement Lead to align technical decisions with the AI platform strategy, business goals, and cross-team dependencies. Represent the pod in technical forums, showcases, and architecture reviews. Communicate risks, trade-offs, and technical constraints clearly to non-technical stakeholders. Ensure timely updates to the Engagement Lead on technical decisions and stakeholder conversations. Security & Compliance Awareness of enterprise data privacy and cybersecurity standards. Responsible handling of user interactions and logs, with clear boundaries for data retention and observability. Tooling & Observability Use of observability tools for tracing, logging, and performance monitoring. Familiarity with API testing and authentication flows across service layers. At Infosys, we recognize that everyone has individual requirements. If you are a person with disability, illness, or injury and require adjustments to the recruitment and selection process, please contact our Recruitment team for adjustment either via the following email or call . Alternatively, you can include your preferred method of communication in email, and someone will be in touch. “All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer.” #J-18808-Ljbffr