AI Technical Lead

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


AI & Agentic Systems
• Experience designing and deploying conversational agents and multi-agent systems.
• Capable of orchestrating agent workflows, managing context, and integrating external data sources.
• Understanding of retrieval-augmented generation (RAG) patterns and scalable inference strategies.
• Comfortable evaluating trade-offs between deployment models (e.g. serverless vs. containerised).


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.

Note: All Fields are Mandatory

Roles & Responsibilities


Leadership & Collaboration Expectations
• Ability and willingness to collaborate with Perth based Engagement Lead on a daily basis 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.

Generic Managerial Skills, If any


Focus Areas:
• Lead the pod's day-to-day development and technical decisions.
• Translate product objectives into implementation plans and sprint goals.
• Directly manage developers and AI engineers.

Key Words to search in Resume


Experience in AI and Gen AI Tools and Technologies, Stakeholder Management,


Pre-Screening Questionnaire


Working with AI Technologies, Gen AI Solutions