Chief Architect

2 weeks ago

Melbourne, Victoria, Australia beBeeArtificialIntelligence Full time $120,000 - $180,000
Job Opportunity: AI Solutions Architect

About the Role:

We are seeking an expert in designing and implementing modern, scalable AI solutions. As a Solutions Architect, you will form long-term connections with clients and deliver cutting-edge AI solutions using emerging technologies from Google Cloud and AWS.

The successful candidate will be responsible for analyzing, documenting, and optimizing solution architecture; creating Statements of Work (SoWs), developing market case studies and use cases; guiding clients and teams through AI transformation journeys on Cloud.

You will communicate your Cloud and AI/ML architecture experience to clients, translating requirements into futuristic AI solutions.

Your role will also involve engaging with our Cloud community, contributing to knowledge exchange.

Demonstrate expertise in computer vision, NLP, conversational AI, Large Language Models, and MLOps, with a deep understanding of ML architecture and lifecycle management.

You will build enterprise-scale solution architectures considering ethics, security, regulatory, and compliance factors; ensure responsible AI delivery adhering to data protection, privacy, and ethical standards.

Collaborate with internal specialists and delivery teams to document best practices, methodologies, and thought leadership assets.

Contribute to internal networks and interest groups.

Provide architectural leadership and technical guidance to development teams involved in implementation.

Understand client ecosystems and develop scalable architectures supporting AI transformation.

Have experience with Google AI and Data Products like BigQuery, Document AI, CCAI, Dialogflow, Vertex AI, Dataprep, or similar on other cloud platforms.

Establish processes and controls for lifecycle management of intelligent systems, including deployment on Cloud (Google Cloud and AWS), containerization with Kubernetes and Docker, and CI/CD pipelines.


Requirements:
  • A Master's or MBA in Computer Science or Engineering, with 10+ years in solution design and architecture, and 6+ years delivering complex AI/Data Analytics projects on Cloud platforms (Google/AWS).
  • Proficiency in statistical programming languages (R or Python) and applied machine learning techniques (computer vision, deep learning, conversational AI, NLP, NLU, Large Language Models).
  • Experience in systems design, including ML Operations platforms.
  • Ability to translate business problems into advanced AI solutions.
  • Strong collaboration skills and experience working with multi-geographical teams on data-driven projects.
  • Excellent communication, presentation, and problem-solving skills.

Benefits:

This is a mid-senior level position offering full-time employment as a Consultant, Engineer, or Customer Service representative in Business Consulting and Services, IT Services and IT Consulting, Software Development industries.

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