AI Technical Lead

Job Description

10+ years of overall experience.

• 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.

• 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

• 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

• 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

• 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).

• 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.

• Awareness of enterprise data privacy and cybersecurity standards.
• Responsible handling of user interactions and logs, with clear boundaries for data retention and observability.

• Use of observability tools for tracing, logging, and performance monitoring.
• Familiarity with API testing and authentication flows across service layers