Principal Platform Engineer
No salary listed
Expert
Bachelor's, Master's
Bengaluru, Karnataka, India
In Person
Software EngineeringAI Application Engineering
About the job
Requirements
- 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.
- Bachelor’s or Master’s degree in Engineering, Computer Science, Applied Mathematics, Statistics, or a related discipline.
- 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.
- Ability to work across engineering, CAIO, CDO, business SMEs, product owners, and platform teams.
- Strong ownership mindset with a focus on automation, continuous improvement, scalability, and engineering quality.
Responsibilities
- 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 to create consistent knowledge across business domains.
- 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.
- Enable colleagues, copilots, and AI agents to access trusted, governed, and reusable enterprise knowledge.
- Transform fragmented business information into reusable knowledge products with clear ownership, lineage, provenance, permissions, and controls.
- Provide technical leadership for enterprise knowledge platforms and retrieval capabilities that make business policies, procedures, controls, and operational knowledge AI-ready and safely consumable at scale.
Desired Qualifications
- 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.
About the company
CommBank offers a wide range of financial services in Australia, including retail, premium, business and institutional banking, funds management, superannuation, insurance, investments and sharebroking. Customers use accounts, loans, investments and insurance, supported by digital tools and advisory services, to manage money and plan for the future across multiple channels. The bank differentiates itself with its size and scope in the Australian market, having over 800,000 shareholders and more than 52,000 employees under one umbrella. Its goal is to help all Australians build and manage their finances and engage with customers and communities.
Company Size
10,001+
Company Stage
IPO
Headquarters
Sydney, Australia
Founded
1911
Get referred to CommBank
See people who can refer or advise you
Simplify's Take
What believers are saying
- CBA issued US$1.25 billion subordinated notes on 16 September 2026, strengthening Tier 2 capital.
- Reimagined CommBank Yello went live 1 October 2026, deepening daily customer engagement and retention.
- FECCA partnership for October 2026 national conference reinforces migrant banking dominance and acquisition funnel.
What critics are saying
- Finance Sector Union says 232 roles face cuts by November 2026, mostly NSW technology.
- CBA cut 300 jobs in February 2026 and 119 more in April 2026.
- Australia’s 2028 cheque shutdown and competitor payment rails commoditize PaidIt if adoption stalls.
What makes CommBank unique
- CommBank’s PaidIt, launched August 2026, combines PayID, ConnectID, and automated payout verification.
- CommBank’s premium charge card, announced August 2026, targets high-spend customers with Discover network reach.
- CommBank remains Australia’s largest bank by market value, giving unmatched distribution and deposit depth.
Help us improve and share your feedback! Did you find this helpful?
Benefits
- Health Insurance
- 401(k) Retirement Plan
- Remote Work Options
- Flexible Work Hours
- Paid Vacation
- Paid Holidays
- Company Equity
- Wellness Program
- Mental Health Support
- Conference Attendance Budget
- Professional Development Budget
- Stock Options