Principal AI Architect

Overview

At NCS Australia, we believe in doing technology services better. Our commitment to quality, focus on people, and willingness to challenge traditional thinking set us apart. Our team partners with clients and communities to make tomorrow together. We are committed to an environment that prioritises innovation, collaboration, and purposeful work. Our diverse team is empowered to make a meaningful impact with curiosity, creativity and resilience to shape better outcomes.

About us

At NCS Australia, we believe in doing technology services better. Our commitment to quality, focus on people, and willingness to challenge traditional thinking set us apart. Our team brings this belief to life by partnering with our clients and communities to make tomorrow together. We are committed to creating an environment that prioritises innovation, collaboration, and purposeful work. Our diverse team is empowered to make a meaningful impact with curiosity, creativity and resilience to shape better outcomes. Join us and accept the challenge of creating a better tomorrow.

Job Description

The AI Architect will play a pivotal role in shaping the group's artificial intelligence strategy. Operating within the Group CTO function, this role will provide leadership on AI technology choices, establish governance frameworks for responsible adoption, and guide prioritisation of AI use cases across the enterprise. The AI Architect will act as a key facilitator, aligning stakeholders and ensuring that AI initiatives deliver maximum business value while adhering to ethical and regulatory standards.

Key Responsibilities

• Technology Direction: Evaluate, recommend, and standardise AI platforms, with a primary focus on Microsoft technologies, while also considering other leading tools and architectural patterns to ensure scalability, security, and interoperability.
• Governance & Oversight: Drive AI governance processes, including ethical guidelines, risk management, compliance, and decision-making frameworks for AI deployment.
• Use Case Prioritisation: Partner with business units to assess, prioritise, and oversee AI initiatives that align with enterprise strategy and deliver measurable value.
• Strategic Alignment: Set the overall direction for AI adoption, ensuring alignment with corporate goals, digital transformation programmes, and innovation agendas.
• Stakeholder Engagement: Act as a trusted adviser to executives and cross-functional leaders, facilitating informed decision-making on AI investments.

Qualifications

• Technical Expertise
  • Proven experience designing and implementing AI/ML solutions at enterprise scale.
  • Deep understanding of Microsoft AI technologies.
  • Comprehensive expertise across leading AI, Machine Learning, and Generative AI frameworks and cloud services, including:
  • AWS: SageMaker, Bedrock, Comprehend, Rekognition, and related services.
  • Azure: Azure Machine Learning, Azure OpenAI, Form Recognizer, Cognitive Search, and similar.
  • Google Cloud: Vertex AI, BigQuery ML, AutoML, and associated tools.
  • Strong capabilities with Large Language Models (LLMs), Python, PySpark, and Vector Databases.
  • Data architecture, model lifecycle management, MLOps, and integration patterns.
  • Knowledge of responsible AI principles, including fairness, transparency, privacy, and compliance.
• Strategic & Leadership Skills
  • Demonstrated ability to lead cross-functional teams and influence senior stakeholders.
  • Experience developing AI strategies aligned with business goals and digital transformation initiatives.
  • Strong communication and stakeholder engagement skills, with the ability to translate complex technical concepts into business value.
• Governance & Risk Management
  • Experience establishing AI governance frameworks, including ethical guidelines, risk controls, and regulatory compliance.
  • Familiarity with global data protection regulations (e.g., GDPR, CCPA) and their implications for AI deployment.
• Extensive Real-World Impact
  • A track record of hands-on experience designing, building, and deploying production-grade Data and AI solutions at scale, preferably in a professional services environment across sectors such as government, finance, or telecommunications.
• Educational Background
  • Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field.
  • Advanced certifications in AI/ML, cloud architecture (e.g., Microsoft Azure AI Engineer, AWS Machine Learning Specialty), or enterprise architecture are highly desirable.

Additional Information

• Why join us: NCS Australia is where you can feel at home, nurturing your talents and skills as we make tomorrow together, one day at a time. Our benefits include paid parental leave, wellbeing initiatives, discounted health insurance, and discounts on various products and services. We support ongoing career development through our Capability Fingerprint, training programs, and AI-driven learning platform.
• EEO & Work Rights: We are an equal-opportunity employer. We value and support our people and the communities we serve and encourage applications from all sectors, including Veterans and Aboriginal and/or Torres Strait Islander communities. We support adjustments throughout recruitment and employment for people with disabilities. Applicants must have valid work rights for Australia and be willing to undergo background checks.

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