Embedded AI Delivery Engineer

Accenture New Zealand; Auckland; Hybrid; NZD 120,000 - 180,000; Full time

Job summary

Accenture New Zealand is seeking Forward Deployed Engineers who embed directly into priority accounts to own outcomes end-to-end, from discovery to production deployment, using AI-native delivery. You translate ambiguous client problems into concrete technical plans, build working prototypes rapidly, and deploy production-grade AI solutions on client infrastructure, integrating with legacy systems.

You will lead with AI tools, design scalable cloud architectures, mentor engineers, and

Qualifications

• You have shipped working software to real users in high-stakes environments, not just demos or internal tools.
• Strong hands-on Python and/or TypeScript; comfort across frontend and backend; cloud infrastructure fluency (AWS, Azure, or GCP)
• Hands-on experience building with LLMs or AI agent frameworks in production or near-production context
• Strong data engineering fundamentals - pipelines, structured and unstructured datasets, reasoning about data quality in messy real-world environments
• Experience designing and deploying enterprise AI applications including agentic workflows, RAG pipelines, vector databases, embeddings, and semantic search

Responsibilities

• Sit inside client teams as the primary technical owner from discovery through to production deployment
• Translate ambiguous business problems into a concrete technical plan, scoped and sequenced for sprint delivery
• Build working prototypes rapidly - not polished decks - and iterate based on real feedback from real users
• Deploy production-grade AI solutions on client infrastructure, integrating into legacy systems, regulated data environments, and existing identity and security frameworks
• Work across the full stack: frontend, backend, APIs, data pipelines, and agentic workflows
• Develop applications and workflows that integrate structured and unstructured enterprise data
• Lead with AI tools - coding assistants, agent frameworks, LLM-based workflows - as the default method of delivery, not an add-on
• Design and deploy enterprise AI solutions incorporating LLMs, Agentic AI, RAG, semantic search, workflow orchestration, and intelligent automation
• Define scalable architectures across cloud platforms and enterprise AI ecosystems
• Establish approaches for prompt engineering, model evaluation, governance, security, and responsible AI in production environments
• Champion AI-enabled delivery across planning, development, testing, documentation, and operations
• Drive continuous improvement through rapid experimentation and user feedback loops
• Provide technical leadership across delivery programmes - architecture reviews, design decisions, technology selection
• Establish engineering standards, reusable assets, accelerators, and best practices that travel across engagements
• Mentor engineers and raise the delivery capability of client and Accenture teams working alongside you
• Codify patterns and delivery accelerators from each engagement for use across the broader Tech RE practice
• Surface product gaps, delivery friction, and emerging client needs back to Tech RE leadership as structured field intelligence

Skills

Python

TypeScript

Cloud platforms

LLMs / AI agents

Data engineering

Production coding

System integration

Tools

LangChain

LangGraph

LlamaIndex

CrewAI

AWS

Azure

GCP

Kubernetes

Job description

Accenture New Zealand is seeking Forward Deployed Engineers who embed directly into priority accounts to own outcomes end-to-end, from discovery to production deployment, using AI-native delivery. You translate ambiguous client problems into concrete technical plans, build working prototypes rapidly, and deploy production-grade AI solutions on client infrastructure, integrating with legacy systems.

You will lead with AI tools, design scalable cloud architectures, mentor engineers, and