25 Jun 2026

KPMG Delivery Network Solution Lead: AI

KPMG Australia

Sydney

25 Jun 2026

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KPMG Delivery Network (KDN) seeks a Solution Lead for AI to provide strategic, technical, and commercial leadership across its AI solution portfolio. This senior role involves defining AI offering strategy, shaping roadmap, driving business growth, and ensuring AI solutions create measurable value for clients and member firms. The ideal candidate brings senior leadership experience in AI, machine learning, or data science, with strong experience in generative AI, large language models, and deploying AI solutions at scale.

Core AIHybridContractDirectorArtificial IntelligenceMachine Learning

KPMG Delivery Network Solution Lead: AI

Apply

Core AIHybridContractDirectorArtificial Intelligence

Salary

Not specified

Work Location

Sydney, New South Wales, Australia, AU

Work Model

Hybrid

Employment Type

Contract

Experience Level

Senior leadership

Core Qualifications

Technical (Must-have)

Artificial IntelligenceMachine LearningData ScienceGenerative AILarge Language ModelsPrompt EngineeringAI Solution ArchitectureAWSAzureAI GovernanceResponsible AIData PrivacyRegulatory ComplianceModel TransparencyStakeholder Management

Soft Skills

Strategic thinkingInfluential communicationInclusive leadershipEmpoweringMentoringCollaborationInnovationContinuous learning

Preferred Qualifications

Technical (Nice-to-have)

MLOpsAI Governance certificationCloud platform certificationMBA

Key Responsibilities

•Develop and own the long-term strategy, value proposition and differentiation for KDN’s AI solutions and offerings.
•Shape the AI portfolio roadmap by analysing market trends, customer insights and the competitive landscape.
•Provide strategic and technical direction across AI solution development and delivery operations.
•Act as the single point of accountability for key stakeholders, member firms and customers in relation to AI offerings.
•Partner with sales, alliances, customer success and delivery teams to drive adoption and long-term value realisation.
•Engage directly with customers through solution demonstrations, roadmap presentations and escalations.
•Identify the long-term impact of AI across industries and integrate these insights into organisational and client strategies.
•Own the scale-up, utilisation, centre strategy and commercial performance of the AI solution portfolio.
•Manage operational and financial KPIs for the AI solution and service portfolio.
•Build, mentor and scale AI, machine learning and data science teams.
•Oversee the end-to-end AI solution lifecycle, from strategy and architecture through to production deployment.
•Establish and embed responsible AI practices, including ethics, transparency, fairness, bias mitigation, privacy, regulatory compliance and model governance.
•Anticipate and manage ethical, legal, regulatory and delivery risks associated with AI deployment.

AIMachine LearningGenerative AILarge Language ModelsCloud PlatformsAI GovernanceConsultingLeadershipSydneyAustralia

Core Qualifications

Technical (Must-have)

Soft Skills

Strategic thinkingInfluential communicationInclusive leadershipEmpoweringMentoringCollaborationInnovationContinuous learning

Key Responsibilities

•Develop and own the long-term strategy, value proposition and differentiation for KDN’s AI solutions and offerings.

•Shape the AI portfolio roadmap by analysing market trends, customer insights and the competitive landscape.

•Provide strategic and technical direction across AI solution development and delivery operations.

•Act as the single point of accountability for key stakeholders, member firms and customers in relation to AI offerings.

•Partner with sales, alliances, customer success and delivery teams to drive adoption and long-term value realisation.

•Engage directly with customers through solution demonstrations, roadmap presentations and escalations.

•Identify the long-term impact of AI across industries and integrate these insights into organisational and client strategies.

•Own the scale-up, utilisation, centre strategy and commercial performance of the AI solution portfolio.

•Manage operational and financial KPIs for the AI solution and service portfolio.

•Build, mentor and scale AI, machine learning and data science teams.

•Oversee the end-to-end AI solution lifecycle, from strategy and architecture through to production deployment.

•Establish and embed responsible AI practices, including ethics, transparency, fairness, bias mitigation, privacy, regulatory compliance and model governance.

•Anticipate and manage ethical, legal, regulatory and delivery risks associated with AI deployment.