AI Architectural Visionary

17 hours ago


Sydney, New South Wales, Australia beBeeArtificialIntelligence Full time $120,000 - $180,000
\AI Architectural Visionary\

We are seeking a seasoned AI leader to spearhead cutting-edge initiatives that transform businesses through sophisticated AI solutions.

\

This role demands a strategic thinker who can architect and guide the implementation of AI systems, leveraging expertise in deep learning, software engineering, and team mentorship.

\Key Responsibilities\
  • \
  • Develop and maintain expertise in AI architecture best practices, emerging trends, and their practical application.\
  • Mentor cross-functional teams in implementing high-impact AI solutions, ensuring scalable, production-ready deployments on cloud platforms.\
  • Champion Responsible AI principles throughout the AI system lifecycle, establishing observability and monitoring frameworks.\
  • Foster collaboration between Data Science/ML Engineering and Software/Platform Engineering teams to integrate best practices from development to production deployment.\
  • Drive business outcomes through innovative technology by translating complex business needs into scalable, reliable, and cutting-edge AI solutions.\
  • Spearhead the architectural design of robust and scalable AI systems across various domains, primarily focusing on agentic AI.\
  • Design and implement data pipelines and operational practices for CI/CD and monitoring of AI systems.\
  • Translate business problems into technical solutions and communicate effectively with non-technical stakeholders.\
  • Awareness of security, privacy, and compliance considerations for AI systems.\
  • Extensive hands-on experience in designing, building, and deploying complex AI/ML systems in production environments.\
  • Proven expertise in designing AI architectures, including traditional machine learning pipelines, deep learning systems, and agentic frameworks.\
  • Deep understanding of data management strategies for AI, orchestration frameworks, and model interpretability techniques.\
  • Proficiency in cloud platforms and infrastructure.\
  • Strong leadership skills, with ability to motivate and inspire teams to deliver high-quality results.\
  • Strategic thinking, with ability to drive business outcomes through innovative technology.\
  • Excellent communication and stakeholder management skills.\
  • Ability to work collaboratively with cross-functional teams.\
  • Experience working in a fast-paced environment.\
  • Ability to adapt to changing priorities and deadlines.\
  • Ability to manage multiple projects simultaneously.\
  • Ability to prioritize tasks and manage time effectively.\
  • Results-driven, with a strong focus on delivering high-quality results.\
  • Passionate about staying up-to-date with industry trends and advancements.\
  • Experience with project management tools and methodologies.\
  • Knowledge of agile development methodologies.\
  • Experience with DevOps practices and tools.\
  • Knowledge of containerization and orchestration technologies.\
  • Experience with cloud-based storage solutions.\
  • Knowledge of cybersecurity best practices.\
  • Experience with data visualization tools.\
  • Knowledge of machine learning algorithms and techniques.\
  • Experience with natural language processing.\
  • Knowledge of computer vision techniques.\
  • Experience with reinforcement learning.\
  • Knowledge of transfer learning.\
  • Experience with attention mechanisms.\\

The ideal candidate has significant experience in a consulting or client-facing role, with the ability to translate business problems into technical solutions and communicate effectively with non-technical stakeholders.

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They must be passionate about staying up-to-date with industry trends and advancements, and have a strong focus on delivering high-quality results.

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Additionally, they should have excellent communication and stakeholder management skills, and be able to work collaboratively with cross-functional teams.

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Experience with project management tools and methodologies, as well as knowledge of agile development methodologies, is highly desirable.

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Lastly, they should be able to adapt to changing priorities and deadlines, and have the ability to manage multiple projects simultaneously.

\
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