Remote AI Architect - End-to-End ML Solutions

Placements24; Queenstown; Híbrido; NZD 140.000 - 190.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote-first environment

Wellness program

Retirement planning support

Paid time off and dev funding

Descripción de la vacante

Placements24 is seeking an experienced AI Solutions Architect to design scalable, secure AI/ML architectures in a fully remote role. The candidate will translate client requirements into architectural blueprints and guide deployment across clouds (AWS/Azure/GCP).

The role emphasizes collaboration with data scientists, engineers, and business stakeholders, with leadership across the project lifecycle and ongoing alignment to diverse client needs.

Formación

• Degree in CS/Engineering or related field.
• Proven experience as Solutions Architect with focus on AI/ML.
• Strong knowledge of AI/ML concepts, algorithms, and frameworks.

Responsabilidades

• Design end-to-end AI/ML solutions with focus on scalability, security, and performance.
• Evaluate and recommend AI platforms, tools, and technologies.
• Collaborate with data scientists, engineers, and analysts to define requirements.
• Develop architectural blueprints and technical documentation.
• Provide technical leadership throughout project lifecycle.
• Oversee integration of AI with existing IT infrastructure.
• Identify and mitigate technical risks in AI implementations.
• Stay abreast of AI, cloud computing, and data architecture trends.
• Present complex technical solutions to varied audiences.

Conocimientos

AI/ML concepts

Cloud platforms

Python/Java/Scala

Data engineering

MLOps practices

Communication

Educación

Bachelor's or Master's degree in CS/Engineering

Herramientas

AWS

Azure

GCP

Descripción del empleo

Placements24 is seeking an experienced AI Solutions Architect to design scalable, secure AI/ML architectures in a fully remote role. The candidate will translate client requirements into architectural blueprints and guide deployment across clouds (AWS/Azure/GCP).

The role emphasizes collaboration with data scientists, engineers, and business stakeholders, with leadership across the project lifecycle and ongoing alignment to diverse client needs.