Principal Platform Engineer

Overview

Principal Engineer in the Knowledge Management domain of CommBank's Chief AI Office, owning the architecture and technical leadership of enterprise knowledge platforms that make business knowledge AI-ready, governed and reusable.

What you'll do

• Own the solution architecture and technical design of core knowledge platform capabilities, including ingestion, enrichment, knowledge graph, retrieval and lifecycle management.
• Lead the design and evolution of the enterprise ontology, semantic model, taxonomy and metadata standards.
• Architect and deliver high-quality, AI-ready knowledge products that transform unstructured business knowledge into trusted, governed and reusable assets.
• Design and build governance and guardrail controls into the platform, including provenance, lineage, policy-aware access, classification, permissions and auditability.
• Lead integration of the knowledge platform with LLM gateways, agent frameworks and evaluation services to support safe RAG, GraphRAG and agentic AI use cases.
• Establish engineering best practices, reusable architecture patterns and quality standards, and conduct design and code reviews for critical components.
• Mentor Staff and Senior Engineers and work with product owners, SMEs and platform teams to translate complex business requirements into scalable technical solutions.

What you'll need

• Deep expertise in knowledge graphs, ontology engineering, semantic modelling, taxonomy and metadata management for enterprise-scale knowledge ecosystems.
• Strong experience in unstructured data processing, document understanding, information extraction, entity resolution and knowledge enrichment pipelines.
• Hands-on expertise in RAG, GraphRAG, vector databases, search technologies and retrieval optimisation for AI-powered knowledge systems.
• Hands-on experience with RDF, OWL, SKOS, SPARQL, ontology engineering, taxonomy management, Neo4j, Amazon Neptune and graph modelling concepts.
• Experience designing enterprise knowledge platforms with scalability, reliability, observability, security and cloud-native architecture principles.
• Ability to define reusable technical patterns and architecture across ingestion, enrichment, retrieval, knowledge graphs, governance and lifecycle management.
• Strong understanding of knowledge governance, data governance, lineage, provenance, access control, compliance, classification and auditability frameworks.
• Experience designing AI guardrails, retrieval controls, policy-aware access mechanisms and governance capabilities to ensure trusted and authorised knowledge consumption.
• Experience integrating LLM gateways, agent frameworks, AI platforms, guardrails, evaluation frameworks and model orchestration services.
• Ability to implement policy-as-code, executable knowledge, rules engines and deterministic decisioning patterns to support explainable and compliant AI outcomes.
• Strong proficiency in Python as the primary programming language, along with TypeScript/Node.js and SQL for platform engineering, APIs, data pipelines and AI integrations.
• Strong technical leadership with the ability to establish engineering practices and mentor Staff and Senior Engineers.
• Strong stakeholder engagement and product-thinking skills to translate business knowledge, policies, processes and controls into reusable enterprise knowledge products.
• Strong problem-solving, analytical, communication and documentation skills, with the ability to work across engineering, CAIO, CDO, business SMEs, product owners and platform teams.
• Bachelor's or Master's degree in Engineering, Computer Science, Applied Mathematics, Statistics or a related discipline.

Nice to have

• Experience building enterprise search, recommendation, discovery and knowledge marketplace capabilities.
• Familiarity with agentic AI architectures, multi-agent orchestration, MCP patterns and tool-based reasoning systems.
• Experience with BPMN, DMN, policy engines and executable knowledge.
• Knowledge of risk, compliance, regulatory and control frameworks within a highly governed financial services environment.
• Understanding of process intelligence, process mining, business capability modelling and decision modelling.
• Relevant cloud or AI certifications, including AWS, AI/ML or Generative AI certifications.

Details

• Location: Bangalore.
• Applicants already part of the Commonwealth Bank Group (including Bankwest, x15ventures) must apply through Sidekick.
• Advertising end date: 29/10/2026.