Technical Lead
Auckland, New Zealand · На постоянной основе
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- Опыт
- Любой
- Зарплата
- —
- Открытия
- 1
- Опубликовано
- 2 часа назад
- Work mode
- В офисе
- Eligibility
- Professionals with a strong software engineering foundation, practical AI or machine learning experience, and proven technical leadership skills who can lead delivery-focused teams and build production-grade AI systems.
- Resume
- Required to apply
Where you'll work
Описание работы
About the company
Future Secure AI is developing a new class of AI-powered systems and is seeking people who are eager to help shape that work. The company operates at the leading edge of AI, solving meaningful real-world challenges for enterprise clients across several sectors using advanced technology and a culture built on courage, discipline, and ongoing curiosity. Its BRAVER values define the expectations for how the team works every day. Leadership is entrepreneurial, experienced, and approachable, with an open-door style that keeps people closely connected rather than treating them as just another headcount. The company places strong emphasis on employee growth, believing its own success is tied to the growth of its people.
Future Secure AI creates AI Co-Workers that perform real operational tasks rather than demonstrations. The team designs and delivers applied AI systems that automate decisions, support teams, and operate reliably in production environments.
Role overview
The company is hiring a Technical Lead who is highly technical, comfortable working with AI systems, and driven to take full ownership of building AI Co-Workers from start to finish. This role is best suited to someone with solid software engineering foundations and practical experience with modern AI technologies who wants to lead real product delivery rather than research-only work.
Key responsibilities
- Lead the technical planning and build process for AI Co-Workers from early concept through live deployment.
- Convert business needs and operational constraints into scalable engineering and AI solutions.
- Own the system design across model choice, orchestration, APIs, data movement, and third-party integrations.
- Direct technical decisions around LLM usage, model evaluation, prompt strategy, and system monitoring.
- Support AI Engineers throughout development, testing, and release stages.
- Work closely with Engagement Leads to ensure technical delivery supports business value.
- Maintain high engineering standards for speed, reliability, security, and long-term maintainability.
- Spot technical risks early and resolve them with practical approaches in uncertain situations.
- Stay hands-on with the most critical build areas while helping the wider team deliver faster.
What the company is looking for
- Demonstrated experience leading small to medium-sized teams to ship products into production.
- A strong software engineering background, plus practical exposure to applied AI or machine learning.
- Hands-on familiarity with modern AI tools and systems such as LLMs, learning models, or intelligent automation.
- Good understanding of backend architecture, APIs, data flows, and production-ready system design.
- Ability to weigh trade-offs between accuracy, latency, cost, scalability, and delivery timelines.
- Experience mentoring or guiding engineers through complex technical builds.
- Confidence explaining technical ideas clearly to people without technical backgrounds.
- A strong ownership mindset with a focus on learning and shipping real-world systems.
- Interest in how AI behaves in production, not only in theory.
Why join
- Join a high-performance environment with ambitious standards.
- Work with advanced, state-of-the-art technology.
- Be part of leadership that is experienced and world-class.
- Contribute to work with strong purpose and meaningful impact.
- Receive a competitive salary and significant growth potential.
- Collaborate with highly capable people in the industry.
- Enjoy a flexible working environment.
- Be part of a culture that values diversity and creativity.
Additional information
The company does not want to be contacted by recruitment agencies. Hiring is handled internally, and candidates are expected to share their interest by submitting a resume through the company website.
Privacy policy
Future Secure AI states that it is committed to protecting personal information and following the General Data Protection Regulation (GDPR) as well as the Australian Privacy Principles (APPs) under the Privacy Act 1988 (Cth). Its privacy policy explains how personal data is collected, used, shared, and protected when visitors use the company website and services.