AI Engineering Team Lead

Company Overview

Join Deloitte's Technology & Transformation team in Auckland as an AI Engineering Team Lead, where you'll collaborate with clients to revolutionise the way New Zealand's leading companies operate. Deloitte merges local insight with global expertise to create meaningful impact for clients, communities, and the nation.

We prioritise our people through continuous learning, career progression, professional development support, flexible working options, and wellness initiatives to ensure personal and professional success. Our inclusive, values-driven culture fosters innovation and positive influence.

Role Summary

As an AI Technical Lead within Deloitte’s Engineering practice, your primary responsibilities will include guiding technical aspects of generative and agentic AI engagements, shaping solution architecture, governing delivery, making critical technical decisions, mentoring engineering teams, and collaborating closely with stakeholders while maintaining a hands-on engagement with technology.

You will design and implement enterprise-scale AI solutions combining foundation models, cloud platforms, enterprise data systems, and responsible AI principles. In partnership with directors, partners, architects, data specialists, and client teams, you'll influence AI strategies, delivery standards, and drive AI adoption throughout Deloitte and client organisations.

Typical Responsibilities

• Lead end-to-end engineering projects and sprint deliverables involving generative and agentic AI, crafting innovative solutions from concept through deployment in a dynamic environment.
• Collaborate with cross-functional teams to identify technical requirements and architect AI solutions tailored to complex enterprise environments.
• Identify and promote reusable AI solution patterns and best practices across various domains and platforms.
• Serve as the technical authority across multiple streams, advising on architecture, model selection, engineering methods, and platform decisions.
• Engage with senior client stakeholders to translate business challenges into feasible AI solutions.
• Manage technical teams through discovery, design, delivery, and deployment phases.
• Establish engineering standards encompassing AI governance, observability, responsible AI, security, scalability, and operational support.
• Oversee LLMOps practices, including evaluation, monitoring, testing, prompt management, and optimization.
• Contribute to proposals, solution cost estimations, technical assurance reviews, and client presentations.
• Develop reusable assets, accelerators, and reference architectures for use across engagements.
• Coach engineers, architects, and consultants to cultivate a collaborative, high-performance team culture.
• Stay actively engaged with emerging AI technologies and keep abreast of industry trends.

Qualifications

• Extensive experience leading multidisciplinary technology delivery teams in consulting, professional services, or tech organisations.
• Proven expertise in architecting and implementing cloud-native solutions on platforms such as Azure, AWS, GCP, or OCI.
• Demonstrated success designing and deploying generative AI, agentic AI, or intelligent automation within enterprise contexts.
• Ability to balance strategic architectural vision with pragmatic delivery requirements.
• Experience in defining engineering standards, governance frameworks, and best delivery practices.
• Strong grasp of modern software engineering methodologies including DevOps, CI/CD, infrastructure as code, and cloud-native system design.
• Proven experience communicating and engaging with senior stakeholders to translate business goals into technical plans.
• Excellent skills in communication, facilitation, and stakeholder management.
• Passion for mentoring and developing talent, fostering team growth and positive culture.
• Commitment to continuous learning and staying current with evolving AI technologies.
• Preferred
• Leadership experience in AI programs or capability development initiatives.
• Involvement in proposals, pre-sales activities, and solution conceptualisation.
• Expertise in defining AI governance, risk management, and responsible AI frameworks.
• Relevant certifications in AWS, Azure, GCP, or AI-related disciplines.

Additional Information

Deloitte champions shared values that underscore inclusion and equal opportunity, cultivating a culture where diverse perspectives thrive and individuals reach their full potential. We uphold an environment where everyone can contribute meaningfully to impactful work.

Employment eligibility requires legal work rights in New Zealand; visa sponsorships are not offered for this role.

This permanent role includes a competitive salary, healthcare insurance subsidies, a mobile phone allowance, flexible work arrangements within a standard 37.5-hour work week, and other benefits typical of a leading professional services firm.

We encourage diverse applicants, including those from under-represented groups, even if they do not meet every listed qualification.

Beware of phishing attempts; official communications will originate from Deloitte domains and platforms only.