AI Solutions Architect

DatacomTauranga, Bay of Plenty Region, New Zealand

On-site Full-time

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Experience Level

Mid to Senior

Qualifications

Required QualificationsProficiency in agentic AI and multi-agent orchestration (tools, planning, reflection, chain-of-thought). Experience in building AI evaluation frameworks and deploying AI solutions across various domains. Strong software engineering skills with a focus on scalable systems. Ability to communicate complex technical concepts to non-technical stakeholders. Proven experience in leading technical teams and projects.

About the job

Our Mission

At Datacom, we strive to bridge the gap between people and technology, empowering communities by tackling challenges and unlocking new opportunities.

Role Overview

As the landscape of work evolves and customer demands shift, Datacom is poised for an exciting AI transformation that will revolutionize the ANZ market. Our innovative offerings are captivating our clients, and we are eager to expand our team.

We are in search of a skilled AI Architect to establish and lead the technical vision for our AI-driven solutions. In this pivotal role, you will serve as the primary technical authority, designing comprehensive AI architectures that are scalable, secure, and ready for production. You will connect business strategy with technical implementation , translating intricate requirements into detailed architectural designs, leveraging advanced cloud platforms, large language models, and innovative AI methodologies.

Your extensive background in software engineering, combined with practical AI experience, will be essential. You will mentor engineering teams, assess and select technologies, set architectural standards, and ensure that our AI solutions are built on a robust foundation. As a member of our Digital Engineering leadership team, you will collaborate across various workstreams to shape the future of AI-powered solutions at Datacom.

If you are an exceptional architect who can think strategically while executing tactically, this is your chance to put an ANZ company on the global AI map!

Key Responsibilities

You will oversee the technical architecture for AI-powered solutions across diverse customer projects, choosing and standardizing AI technologies, frameworks, and platforms for the organization.

You will develop reference architectures, design patterns, and best practices for AI solution delivery, lead architectural reviews, and provide technical governance across delivery teams. Collaboration with product owners, data scientists, and engineering leads will be crucial in translating business needs into scalable technical designs.

Your role will also involve designing data architectures that accommodate AI workloads, covering ingestion, processing, storage, and retrieval. You will establish and advocate for engineering standards related to AI quality, testing, security, and observability, while also managing vendor and partner technology relationships.

Additionally, you will guide and enhance engineering teams in AI architecture best practices, stay abreast of the rapidly evolving AI landscape to bring actionable insights to the organization, and present architectural visions and technical strategies to senior stakeholders and clients.

About Datacom

Datacom is a leading technology company dedicated to connecting people and technology to empower communities. We are committed to innovation, integrity, and excellence in service delivery.

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Machine Learning Engineer at Timescapes | Parnell, Auckland

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Full-time|On-site|Parnell, Auckland, New Zealand

Join our dynamic team at Timescapes as a Machine Learning Engineer, where we are dedicated to revolutionizing the construction industry through innovative technology. We seek an analytical thinker who can dissect complex problems and develop effective machine learning solutions. Our commitment is to deliver exceptional products that create memorable experiences for our users.About UsSince our founding in New Zealand in 2017, Timescapes has been at the forefront of visual progress tracking for intricate construction projects. Our goal is to enhance construction efficiency through improved transparency and communication. Our solutions are trusted by leading construction firms across Australia, Canada, New Zealand, and the United States, enabling them to manage timelines, verify claims, and communicate project progress seamlessly.As a rapidly expanding organization, we prioritize thoughtful and strategic approaches in our product development, emphasizing speed, quality, and awareness.About the RoleAs our second dedicated ML/AI engineer, you will collaborate closely with our product and engineering teams to design and implement machine learning models, particularly in computer vision, enhancing our existing and future product features. Key responsibilities include:Collaborating with AI/ML team members to design, develop, and integrate machine learning models aimed at solving construction-related challenges concerning activity tracking and progress monitoring on various sites.Conducting experiments with large language models (LLMs) and other generative AI frameworks, assessing the feasibility of custom developments versus utilizing existing models.Creating software for managing the machine learning lifecycle, including data management, labeling, and training processes.Acquiring and curating training data to ensure high quality and optimal integration into the ML lifecycle.

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Engineering Manager - Drive Innovation in Technology

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Full-time|On-site|Tauranga, Bay of Plenty Region, New Zealand

Our Mission At Datacom, we collaborate with organizations and communities throughout Australia and New Zealand to create meaningful impacts in people's lives, harnessing technology to drive innovation and growth. About the Position As an Engineering Manager at Datacom, you will play a pivotal role in our Product and Technical Leadership team. Your primary responsibility will be to ensure the delivery capabilities of your squads, focusing on achieving predictable, high-quality outcomes while maintaining a sustainable pace and fostering healthy, engaged teams. You will work closely with Product Managers, ensuring that product vision translates into actionable delivery plans, while also partnering with Principal Engineers to manage engineering health and cross-domain dependencies effectively. This leadership role empowers you to build capabilities, advocate for AI-enabled practices, and cultivate an inclusive, high-trust culture that embodies Datacom's core values.Drive ownership of delivery, people management, and engineering health across your squads. You will promote AI-enhanced delivery practices, develop high-performing teams, and collaborate with Product and Principal Engineers to deliver reliable, high-quality software rapidly. You will set the standard for responsible adoption of AI tools within your teams. Key Responsibilities As an Engineering Manager, your focus will include:Overseeing end-to-end delivery accountability for assigned squads, ensuring commitments are realistic and met.Translating product intents into actionable delivery timelines and organizing work for concurrent execution.Facilitating sprint and delivery planning sessions; tracking progress, identifying risks, and addressing blockers.Managing capacity planning, balancing workloads, and providing reliable delivery forecasts.Championing engineering health, including sustainable work pace, team morale, service reliability, and quality investments.Advocating for responsible AI-enabled software delivery practices with established guardrails and human validation processes.Leading engineers through hiring, onboarding, coaching, development, and retention of top talent.Addressing cross-squad dependencies, managing risks, and promoting continuous improvement in processes.Collaborating daily with Product Managers and Principal Engineers to align on project scope, sequencing, capacity allocation, and quality standards.Ensuring compliance of delivery practices with security, compliance, and Datacom policies.Datacom is a dynamic organization that adapts quickly to the evolving needs of customers, technology, and internal stakeholders, which means our roles may evolve accordingly. What We Expect from YouEssential Experience:A minimum of 10 years in the IT/software industry.3 to 5 years of experience leading engineering practices or managing multiple squads simultaneously.Proven track record of owning delivery outcomes, timelines, and capacity management.

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