Principal AI Solution Engineer

Principal AI Solution Engineer; Auckland; On-site; NZD 120,000 - 180,000; Full time

Job summary

Principal AI is seeking an AI-centric Solution Engineer in Auckland. The role focuses on hands-on design and implementation of AI systems, GenAI capabilities, and large language model integrations within enterprise environments.

Responsibilities span architecture, tooling, and collaboration with cross-functional teams to deliver scalable, secure AI solutions on cloud platforms and modern software stacks.

Skills

AI solution engineering

GenAI

LLM integration

agentic workflows

prompt engineering

APIs

automation

cloud platforms

DevOps

AgentOps

Job description

Principal AI Solution Engineer - Auckland, North Island

• Deep hands-on expertise across AI solution engineering, GenAI, LLM integration, agentic workflows, prompt engineering, retrieval augmented generation, APIs, automation, cloud platforms, DevOps, AgentOps and modern software practices.
• Proven technical leadership skills, with the ability to coach, motivate and develop technical professionals through teaching, feedback, mentoring and structured development planning.
• Strong understanding of AI solution patterns, including LLM orchestration, RAG, agent design, tool use, workflow automation, human-in-the-loop design, evaluation frameworks, vector stores and enterprise integration patterns.
• Strong knowledge of software engineering principles and modern programming environments, including Python, APIs, CI/CD, testing, data quality, metadata, semantic layers, knowledge retrieval and access control.
• Proven hands-on experience working with cloud and AI platforms, ideally including AWS, enterprise AI platforms, orchestration tools, vector databases, monitoring tooling and integration with existing data platforms.
• Ability to turn strategy, standards and high-level architecture into practical implementation plans and working solutions, balancing engineering outcomes with cost, risk, timeframes and business value.
• A responsible approach to data and AI use, with strong awareness of cyber security, privacy, compliance, governance and operational risk.
• Systems thinking and problem-solving skills, with the ability to work through ambiguity and create pragmatic, scalable solution options.
• Clear technical communication and influencing skills, with the ability to explain design decisions, challenge direction constructively and bring teams along collaboratively.