Senior Enterprise Data & AI Architect: Strategy & Delivery

Halcyon Knights; Melbourne; On-site; AUD 180,000 - 240,000; Full time

Job summary

Halcyon Knights is seeking an experienced Data & AI Architect to lead enterprise-scale data, ML, and AI initiatives. The role focuses on designing end-to-end architectures, assessing platform readiness, and delivering prioritized recommendations to strengthen data and AI capabilities within client environments.

The candidate will guide engineering teams, define reusable patterns for data access, and ensure alignment with security, governance, and operational requirements throughout delivery.

Qualifications

• Experienced Data & AI Architect with a track record of designing and delivering enterprise-scale data, machine learning, generative AI and agentic-AI solutions.
• Assesses enterprise platform readiness across the full data and AI landscape, including data foundations, ML and LLM services, enterprise knowledge, integration, AI controls, user experience, runtime orchestration and platform engineering.
• Identifies platform gaps, constraints and technical risks; develops practical, prioritised recommendations to strengthen the client’s data and AI platform.

Responsibilities

• Understands the client’s engineering practices, delivery lifecycle and maturity; guides teams to adopt appropriate development, testing, release, documentation, operational-readiness and governance practices.
• Provides hands‑on technical leadership throughout delivery, including architecture decisions, design assurance, technical troubleshooting, and transition of solutions into production support.
• Communicates complex technical choices clearly to both senior business stakeholders and engineering teams, articulating trade‑offs, dependencies, risks and recommended decisions.

Job description

Halcyon Knights is seeking an experienced Data & AI Architect to lead enterprise-scale data, ML, and AI initiatives. The role focuses on designing end-to-end architectures, assessing platform readiness, and delivering prioritized recommendations to strengthen data and AI capabilities within client environments.

The candidate will guide engineering teams, define reusable patterns for data access, and ensure alignment with security, governance, and operational requirements throughout delivery.