Senior AI Architect
Location: Flexible across Australia | Hybrid or Remote Options
Type: Full-Time | Permanent
Industry: Consulting / Technology / AI Transformation
Are you a visionary data architect who thrives at the intersection of emerging AI technologies and enterprise data strategy? We’re partnering with a leading consulting firm on the hunt for a Senior Data Architect with strong experience in Generative AI, Agentic AI, and enterprise consulting to help reshape how organisations harness data in an AI-native world.
As a Senior Data Architect, you will lead the design of scalable, intelligent data ecosystems that serve as the foundation for AI-driven solutions across a wide range of industries. You’ll work closely with executive stakeholders, solution architects, data scientists, and engineering teams to architect modern data platforms that enable next-generation AI use cases, including autonomous agents, generative models, and AI orchestration frameworks.
Key Responsibilities
Architect and deliver end-to-end data solutions enabling Gen AI and Agentic AI capabilities
Advise clients on data readiness, architecture patterns, and responsible AI implementation
Design and optimise modern data platforms (cloud-native, event-driven, ML/AI enabled)
Lead technical strategy, architectural governance, and stakeholder communication
Translate business problems into scalable AI/data solutions within consulting engagements
Collaborate with cross-functional teams to build proof-of-concepts and production systems
Skills & Experience
8+ years in data architecture, with significant experience in consulting environments
Strong expertise in designing modern data platforms (Snowflake, Databricks, GCP, Azure, AWS)
Deep knowledge of Generative AI, LLMs, and emerging Agentic AI frameworks
Familiarity with orchestration tools (LangChain, AutoGen, ReAct, CrewAI, or similar)
Experience architecting AI/ML solutions that include robust data pipelines and governance
Ability to bridge technical and business teams, with strong communication and client engagement skills
Understanding of data security, ethical AI principles, and enterprise architecture standards
