Description
We're an iconic Aussie brand with a global footprint. Our purpose is to build a connected future so everyone can thrive.
The Agentic AI Engineer / Chapter Lead combines hands-on AI engineering depth with chapter leadership. The role designs, builds and operates secure, reliable and cost-effective agentic AI solutions, while developing engineering capability and establishing reusable patterns, standards and reference implementations.
Agentic AI Solution Engineering
- Design, build and operate single-agent and multi-agent systems using LangGraph, Amazon Bedrock Agents and appropriate direct SDK approaches.
- Define agent workflows, state, checkpointing, human-in-the-loop controls, tool schemas, contracts, boundaries and safe hand-off patterns.
- Apply engineering judgement to determine when agent frameworks are required and when simpler deterministic or direct model integration is better.
Retrieval and Enterprise Knowledge Systems
- Design and tune RAG and agentic RAG pipelines across approved enterprise knowledge sources, including ingestion, retrieval, indexing, re-ranking and grounding.
- Implement hybrid retrieval, query planning, self-correction and tool-augmented retrieval patterns to improve relevance and task completion.
- Evaluate vector stores and knowledge graph or GraphRAG approaches where scale, security, cost or relationship-heavy domains require them.
MCP, Tools and Agent Communication
- Build and operate MCP servers and clients, including tools, resources, prompts and supported transports.
- Expose secure capabilities with clear descriptions, validation, versioning, least-privilege access and defined trust boundaries.
- Apply agent-to-agent concepts such as discovery, agent cards, task lifecycle, collaboration and capability registration.
Evaluation, Quality and Economics
- Create evaluation frameworks using golden datasets, deterministic checks, LLM-as-judge techniques, human review and regression suites.
- Integrate quality, safety, groundedness, latency, token usage and cost gates into delivery and release processes.
- Benchmark models and architectures for quality, reliability, throughput, context requirements and total cost.
Security, Governance and Responsible AI
- Build security, privacy, safety, guardrails and governance into agentic solutions from inception.
- Mitigate risks including prompt injection, data leakage, excessive agency, unsafe tool use, insecure output handling and supply-chain exposure.
- Implement PII handling, scoped identity, OAuth where applicable, secret management, least-privilege access, human approval and audit trails for sensitive actions.
Production Engineering and Operations
- Build AI services using strong Python practices, including asynchronous programming, FastAPI, automated testing and maintainable package design.
- Deploy and operate services on AWS and Kubernetes with CI/CD, secure runtime configuration and operational controls.
- Instrument agent systems with tracing, logging, metrics and evaluation telemetry using OpenTelemetry and relevant LLM observability platforms.
- Implement reliability patterns including timeouts, retries, fallbacks, failover, rate limits, concurrency controls and graceful degradation.
Chapter Leadership and Capability Uplift
- Actively build chapter capability by mentoring engineers in software engineering practices, emerging technologies, tools, approaches and delivery processes, modelling continuous learning and coaching others to lift capability across teams.
- Coach, develop and provide regular feedback to chapter members, clarifying performance, behavioural and engineering expectations, and supporting meaningful growth conversations.
- Build strong commercial capability across teams by modelling disciplined cost-value thinking, balancing engineering investment, platform cost, risk and customer outcomes to choose the most economic course of action.
What we offer
- Performance-related pay
- Access to thousands of learning programs so you can level-up
- Global presence across 22 countries; opportunities to work where we do business.
- Up to 26 weeks maternity leave provided to the birth mother with benefits for all child births
- Up to 16 weeks paid paternity leave provided to the non-birthing partners
- Employees are entitled to 21 paid annual leaves per calendar year
- Eligible employees are entitled to 12 days of paid sick / casual leave per calendar year
- Relocation support options across India, from junior to senior positions within the company
- Receive insurance benefits such as medical, accidental and life insurances