Data and AI Architect

Halcyon Knights; City of Melbourne; On-site; AUD 150,000 - 210,000; Full time

Job summary

Halcyon Knights in Melbourne seeks an Experienced Data & AI Architect to shape enterprise-scale data, ML, generative AI and agentic-AI solutions in Melbourne. You'll define platform strategy and oversee readiness across data foundations, ML services, integration, AI controls and runtime orchestration.

You will lead delivery with hands-on architectural decisions, balancing business needs with security and governance, collaborating with enterprise architects, platform teams and delivery squads to

Qualifications

• Experience designing and delivering enterprise-scale data, ML and AI solutions.
• Ability to assess platform readiness across data foundations, ML/LLM services and AI controls.
• Tracks risks and develops practical recommendations for enterprise AI platforms.

Responsibilities

• Define end-to-end solution architectures for data, ML and AI use cases.
• Collaborate with enterprise architects, security, risk, product and delivery teams to align designs.
• Provide hands-on technical leadership during delivery and production transition.

Skills

Data & AI Architecture

Enterprise platform readiness

Solution architecture

Delivery leadership

Technical leadership

Stakeholder communication

Job description

Enterprise platform strategy and readiness

• 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.

Solution architecture and design

• Defines end-to-end solution architectures for specific data, ML and AI use cases, balancing functional needs with the client’s existing technology environment, architecture standards, security requirements and delivery constraints.


• Designs reusable patterns for data access, retrieval and knowledge grounding, model and agent execution, enterprise integration, identity and access controls, observability, evaluation, resilience and operational support.


• Works closely with client enterprise architects, platform teams, security and risk stakeholders, product owners and delivery teams to align solution designs with target-state architecture and roadmaps.

Delivery and engineering leadership

• 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.