AI Consultant / Solutions Engineer, Auckland
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RWA People

AI Consultant / Solutions Engineer

  • Posted 1mo ago
  • Hybrid
  • Full Time, Contract

Auckland

Job Description

  • 6 month initial contract + high chance of renewal
  • Greenfields project on the cutting edge
  • Hybrid working environment


The Opportunity


This is a rare opportunity to join a specialized, ground-floor team working with early adopters to deploy AI voice agents and automation at scale. You will directly influence the platform's development, go-to-market approach, and client success.


The Role This is a dynamic, client-facing role that blends strategic technology consulting with hands-on technical delivery. You will work directly with clients to scope business problems, design architecture, and implement cutting-edge Agentic and Voice AI solutions.


Your day-to-day will involve:


  • Client Consulting: Leading pre-sales discovery workshops, assessing AI feasibility, and translating business requirements into clear technical roadmaps.
  • AI Delivery: Building and deploying Voice AI agents, proofs-of-concept, and automation solutions tailored to client needs.
  • System Integration: Developing Model Context Protocol (MCP) servers (in TypeScript or Python) to seamlessly connect AI agents to core business systems.
  • Infrastructure & Operations: Supporting the deployment of AI workloads on on-premises GPU environments, and creating implementation guides and operational runbooks.


What You Bring


  • 5+ years of experience in technical consulting, solutions engineering, or software integration, with a strong focus on AI, automation, or API-driven solutions.
  • Hands-on AI Expertise: Practical experience with tools like LangChain, LlamaIndex, RAG architectures, vector databases, and LLM evaluation.
  • Voice AI Knowledge: Familiarity with platforms like ElevenLabs, Vapi, Retell AI, or a solid understanding of conversational AI and telephony workflows.
  • Development Skills: Ability to build MCP servers and robust integrations using Python or TypeScript, REST APIs, OAuth, and webhooks.
  • Infrastructure Experience: Knowledge of deploying AI workloads on GPU environments, utilizing Docker and Kubernetes. (Cloud experience with AWS, Azure, or GCP is a bonus).
  • Commercial Acumen: A background in client-facing delivery, managed services, or consulting, with a solid grasp of AI governance and privacy requirements (including the NZ Privacy Act).


To Apply If you have a passion for foundational AI technologies and the consulting expertise to drive successful client implementations, apply now to join the team and shape the future of Voice AI in the region.


Reference: SP-4064331

Desired Hard Skills

  • API Integration
  • Docker Kubernetes
  • LangChain Framework
  • Python Development
  • Voice AI

Desired Soft Skills

  • Client Consulting
  • Commercial Acumen
  • Communication
  • Problem Solving
  • Strategic Thinking

Job Schedule

  • Monday to Friday

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