Bridge AI solutions to real-world business workflows
Translate business problems into practical AI solutions and oversee their implementation, ensuring operational effectiveness and alignment with workflows.
Directly impact AI deployments in a startup environment
Original description from source
AI Deploy Labs – Indonesia Founding Team Opportunities COMPANY OVERVIEW AI Deploy Labs is an AI implementation and deployment venture focused on helping organisations move from AI experimentation into practical real-world deployment. The focus is on embedding AI into operational workflows, internal knowledge systems, automation processes, customer support environments, and AI-enabled productivity systems. The company is being structured around a New Zealand-based commercial and client-facing layer, supported by an Indonesia-based engineering and execution capability. AI Deploy Labs is currently assembling its initial Indonesia founding team and is looking to connect with highly capable technical and operational people interested in practical AI deployment, automation systems, AI-native workflows, and startup-style execution environments. Company LinkedIn https://www.linkedin.com/company/ai-deploy-labs Work Model Remote / Hybrid (Indonesia) Employment Type Initially flexible depending on candidate: Full-time Contract Fractional Founding team style arrangement Industry Artificial Intelligence / Automation / Enterprise Technology Company Focus Areas AI deployment AI workflow automation Internal AI systems AI agents Knowledge systems Operational AI integration AI-native engineering Enterprise AI implementation Target Market SMB and mid-market organisations. HIRING PHILOSOPHY AI Deploy Labs is particularly interested in people who: • Think in systems • Move quickly • Use AI extensively in workflows • Have a builder mindset • Are curious about AI-native operations • Are comfortable in startup environments • Can combine technical capability with practical business outcomes Formal credentials are less important than: • execution capability • initiative • adaptability • systems thinking • practical problem-solving POSITION SUMMARY AI Deploy Labs is looking for someone who can bridge technical execution and real-world business implementation. This role focuses on ensuring AI deployments are practical, operationally effective, and aligned with business workflows. The ideal person combines: enterprise technology understanding, operational thinking, implementation experience, and strong communication capability. KEY RESPONSIBILITIES Solution scoping and implementation planning Enterprise workflow analysis Delivery coordination and operational oversight Client requirements gathering Translating business problems into practical AI solutions Supporting implementation quality and deployment execution Working closely with engineering and commercial teams IDEAL BACKGROUND Solutions architecture Enterprise systems implementation Technology consulting Digital transformation Operations or workflow optimisation Technical project delivery PREFERRED QUALIFICATIONS Client-facing environments Enterprise software or cloud implementation AI implementation or automation exposure Business process mapping Cross-functional coordination WHAT WE OFFER Operational maturity Strong communication Structured thinking Practical problem-solving Ability to simplify technical concepts Delivery-focused mindset APPLICATION INFORMATION How to Apply Please send: CV / LinkedIn profile Brief background summary Relevant projects or portfolio links (if available) Any AI, automation, or product projects you’ve worked on Contact Applications and enquiries can be directed via Lokerdollar or directly to AI Deploy Labs.
Getting paid
Multi-currency account. Receive USD, withdraw to an Indonesian bank at the live rate, no markup.
Open Wise accountGlobal contractor platform. Manage contracts and receive USD payments hassle-free.
Open Deel accountDisclosure: Some links on this page are affiliate links. If you sign up through them, Loker Dollar may earn a commission at no extra cost to you. We only recommend services we use ourselves.