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AI Engineer - GenAI Knowledge Activator

AI Engineer - GenAI Knowledge Activator

TalentWorkFromHome, Auckland, New Zealand
30+ days ago
Job description

Join to apply for the AI Engineer - GenAI Knowledge Activator role at Talent

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Help shape one of the most ambitious AI transformations in Aotearoa. Our client is building an AI-enabled workforce and they need a seasoned AI engineer to drive the frameworks, tooling, and foundations that power intelligent agents across the business.

Auckland or Fully Remote (NZ-based only) | 6-Month Contract

Why This Role Matters

This isn’t just about building models, it’s about enabling others to build safely, efficiently, and at scale. You’ll join the Agentic Platforms team as a hands-on generalist who can think strategically, code practically, and communicate clearly with stakeholders from engineers to executives.

What You’ll Be Doing

  • Architecting and evolving AI frameworks and design patterns
  • Enabling secure, accurate, and scalable AI agent deployments
  • Developing best practice guidelines for internal teams adopting GenAI
  • Supporting integrations with SharePoint, Confluence, ServiceNow, and Snowflake
  • Collaborating with technical and non-technical stakeholders to translate complex needs into simple AI-powered solutions
  • Driving knowledge sharing and standardisation across teams

Must-Have Skills

  • Strong hands-on experience with Generative AI development (LLMs, RAG)
  • Proven history of building and maintaining AI / ML systems in production
  • Confidence designing AI guidelines, frameworks, and patterns others can adopt
  • Experience working across large organisations with varied stakeholder groups
  • Fluency in Python and solid grounding in AI agent principles
  • Familiar with integrating AI into enterprise systems and knowledge stores
  • Comfortable with ambiguity, able to take initiative and guide best practice
  • Culture & Team Fit

    You’ll work alongside passionate AI engineers in a lean, supportive squad. This role is replacing some of the hands-on bandwidth of the AI Engineering Lead, so autonomy, maturity, and strong decision-making are essential. You won’t just build-you’ll enable others to build better.

    Tech Environment

  • Python, GenAI, RAG, LLMs
  • SharePoint, ServiceNow, Snowflake, Confluence
  • Microsoft Copilot Studio, OpenAI, AWS Bedrock / Sagemaker
  • Internal agent frameworks & orchestration tools
  • Flexibility & Contract Details

  • 6-month contract with likely extension
  • Fully remote if based outside Auckland
  • Like what you see? Let’s have a kōrero.

    Seniority level

    Seniority level

    Mid-Senior level

    Employment type

    Employment type

    Contract

    Job function

    Job function

    Engineering and Information Technology

    Industries

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