Lead enterprise AI consulting engagements from strategy and use-case prioritization through architecture, delivery, and production. Advise clients, design Azure AI and Agentic AI architectures, oversee technical delivery and risk, support presales, and develop proofs of concept. Mentor consultants and engineers, advance AI practice standards, and establish governance, security, compliance, and responsible AI practices.
LAB3 is one of Australasia’s largest Azure engineering practices, specialising in Cloud & DevOps, Data, IoT & AI, Modern Workplace, Security, and Networks.
We’re seeking a Principal Consultant- AI to join our Professional Services team. This is a senior, client-facing leadership role accountable for shaping, selling, and delivering high impact AI and Agentic AI programs for enterprise clients, working across the AI lifecycle from prototyping to production.
The Role
- Client Leadership & Advisory: Act as a trusted advisor to enterprise clients, lead AI strategy engagements from use case prioritisation and value articulation through to architecture design and delivery roadmaps, running workshops, gathering requirements and translating business objectives into scalable Azure AI architectures and operating models
- Architectural leadership: Across Agentic AI, GenAI, RAG, MLOps & underlying and data platforms on Azure, defining reference architectures, design patterns and requirements.
- Delivery Oversight & Risk Management: Own end to end technical accountability & risk-management for large or complex AI programs.
- Pre-sales: contribute to presales & commercial activities including discovery, solution shaping, SOW input and technical assurance, contributing to win strategy through differentiated architecture, compelling client narratives and proof of concept or demo delivery as required
- Capability & Practice development: Mentor Senior Engineers and Consultants, contribute to LAB3's AI standards and accelerators, and represent the practice externally through thought leadership and client showcases
- Governance, Security & Responsible AI: Set best practice approaches for AI governance, risk, compliance, and ethics, ensure solutions align with enterprise security models& champion responsible AI principles
Required experience
Extensive consulting experience delivering AI programs to enterprise and/or government organisations.
Experience running client workshops and gathering business requirements.
Azure solution architecture and the broader Azure AI toolkit.
Deep understanding of modern application architecture.
Experience delivering Agentic/ GenAI solutions and frameworks.
Strong grasp of platform engineering, observability and enterprise security and compliance patterns & ideally MLOps.
What’s in it for you?
- Be part of a team that leverages modern technologies to solve real problems and provides top level of customer satisfaction
- Work with a Microsoft Partner of the Year award winner with multiple specialisations
- Be supported by experienced peers and leaders that value technical expertise and encourages innovation, with clear career pathways and ongoing learning
- Enjoy a supportive workplace that promotes inclusion, flexibility, diversity, and celebrates differences.
- Take advantage of largely working from home in our remote/hybrid workplace and enjoy the flexibility to balance your life
- Thrive in a community with strong values #BeTrue #TeamUp #StandOut #ThinkAhead #FearLessAchieveMore
LAB3 Melbourne, Victoria, AUS Office
Melbourne, Australia
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