1 week ago

Pr. Delivery Consultant AIML, AWS Professional Services

Amazon Web Services (AWS)

Perth

1 week ago

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A senior hands-on AI/ML leadership role within ANZ ProServe, owning the Agentic AI workstream for a large-scale modernisation program. The consultant will design and deploy agentic AI solutions on AWS, influence the broader modernisation strategy, and advise senior customer stakeholders. Requires a strategic technical leader with experience in AI platform architecture, enterprise GenAI delivery, and stakeholder management.

AI-enabledHybridFull-timePrincipalAgentic AIMulti-Agent Systems

Pr. Delivery Consultant AIML, AWS Professional Services

Apply

AI-enabledHybridFull-timePrincipalAgentic AI

Salary

Not specified

Work Location

Perth, Western Australia, Australia, AU

Work Model

Hybrid

Employment Type

Full-time

Experience Level

Principal

Core Qualifications

Technical (Must-have)

Agentic AIMulti-Agent SystemsAI Platform ArchitectureAWSAmazon BedrockAmazon SageMakerApplication ModernisationDatabase ModernisationEnterprise GenAI DeliveryMLOpsProduction AITechnical LeadershipStakeholder ManagementAI GovernanceAI Safety

Soft Skills

LeadershipStakeholder ManagementMentoringInfluenceCollaboration

Preferred Qualifications

Technical (Nice-to-have)

TOGAFZachmanSAPOracleIT complianceRisk managementSecurityPrivacySOXHIPAA

Key Responsibilities

•Own the Agentic AI workstream end-to-end: platform architecture, agent development patterns, deployment, and governance
•Design and deploy agentic AI solutions that accelerate legacy application and database modernisation
•Enable roll out of net new agentic AI capabilities for the customer
•Serve as the senior AI/ML technical authority on a large multi-workstream program
•Define AI platform strategy on AWS (Bedrock, AgentCore, SageMaker) and establish reusable patterns for agentic use cases
•Influence the modernisation strategy, collaborating with modernisation architects, application developers, and data engineers
•Advise senior customer stakeholders on AI strategy, risk, and adoption approaches
•Establish evaluation frameworks, safety guardrails, and governance for production agentic systems
•Mentor and uplift team capability in GenAI/Agentic AI delivery

AI/MLAgentic AIAWSProfessional ServicesConsultingPrincipalHybridFull-timeModernisationEnterprise

Core Qualifications

Technical (Must-have)

Soft Skills

LeadershipStakeholder ManagementMentoringInfluenceCollaboration

Key Responsibilities

•Own the Agentic AI workstream end-to-end: platform architecture, agent development patterns, deployment, and governance

•Design and deploy agentic AI solutions that accelerate legacy application and database modernisation

•Enable roll out of net new agentic AI capabilities for the customer

•Serve as the senior AI/ML technical authority on a large multi-workstream program

•Define AI platform strategy on AWS (Bedrock, AgentCore, SageMaker) and establish reusable patterns for agentic use cases

•Influence the modernisation strategy, collaborating with modernisation architects, application developers, and data engineers

•Advise senior customer stakeholders on AI strategy, risk, and adoption approaches

•Establish evaluation frameworks, safety guardrails, and governance for production agentic systems

•Mentor and uplift team capability in GenAI/Agentic AI delivery