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Deloitte

Audits companies and advises on tax and technology

AI Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeAuckland, New ZealandNo salary listed

About the Job

Requirements

  • Experience in professional services or technology vendors as a Generative AI Engineer, Agentic AI Engineer, Technical Analyst, Consultant, or Lead in a customer-facing role.
  • Strong cloud-native engineering capabilities, with solid foundations in continuous integration and continuous delivery, DevOps, large language model operations, and infrastructure as code.
  • Strong business analysis and functional design skills, with the ability to translate business challenges into scalable artificial intelligence solutions.
  • A proven track record architecting and delivering end-to-end generative and agentic artificial intelligence systems, leveraging cloud platforms such as Amazon Web Services, Microsoft Azure, Google Cloud Platform, or Oracle Cloud Infrastructure; certifications are beneficial.
  • Hands-on experience with vector databases, embedding models, retrieval frameworks, and evaluation techniques.
  • Knowledge of large language model safety, governance, and risk management practices, including prompt-injection defenses, personally identifiable information handling, content moderation, and auditability.
  • Experience with observability and evaluation tools, performance profiling, and cost management for generative artificial intelligence workloads.
  • Strong task-prioritization skills and experience implementing DevOps best practices using Git and modern version-control approaches.

Responsibilities

  • Engineer end-to-end generative and agentic artificial intelligence solutions, delivering sprint outcomes from concept through production.
  • Collaborate with cross-functional Deloitte teams to capture technical requirements and architect, build, and deploy generative and agentic artificial intelligence solutions in complex enterprise environments.
  • Establish robust large language model operations capabilities, including automated evaluations, observability and tracing, offline and online testing, prompt versioning, safety red-teaming, and cost and latency optimization.
  • Produce models and pipelines using containerization, continuous integration and continuous delivery, infrastructure as code, and cloud-native services, while embedding security, privacy, and responsible artificial intelligence controls throughout the software development life cycle.
  • Implement retrieval and grounding strategies, including chunking, hybrid search, and metadata filtering, and feedback loops to improve the reliability, quality, and factuality of generative artificial intelligence systems.
  • Partner with engagement leads to scope, estimate, and deliver work packages, and contribute to accelerators, reference architectures, and reusable generative artificial intelligence components.
  • Maintain continuous learning across the latest generative artificial intelligence tools, frameworks, and delivery practices.
  • Provide technical guidance and mentorship to Deloitte colleagues, particularly junior team members.

Desired Qualifications

  • Monorepo experience is advantageous.
  • Cloud platform certifications are beneficial.

About the Company

Deloitte

Audits companies and advises on tax and technology

Deloitte audits companies and advises businesses and governments on tax, technology, and risk, and it is one of the Big Four, the world's four largest accounting firms. In 1849 its founder became the first independent auditor of a public company, Britain's Great Western Railway. Its auditors check companies' financial reports for errors and fraud before investors rely on them, while its consultants design strategy, install business software, and defend clients against cyberattacks. Clients pay fees for each audit or project, and each country's Deloitte firm is a separate business owned by its local partners. Deloitte was founded in London in 1845 and is based in New York.

Company size
10,001+
Company stage
Late Stage VC
Total funding
$17.1M
Headquarters
New York, NY
Founded
1845

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