At a Glance
- Tasks: Design and deliver enterprise-scale data and AI solutions while assessing platform readiness.
- Company: Join a leading tech firm focused on innovative data and AI strategies.
- Benefits: Attractive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on engineering excellence and career advancement.
- Why this job: Shape the future of AI and data solutions in a dynamic environment.
- Qualifications: Experience in data architecture, machine learning, and strong communication skills.
The predicted salary is between 123750 - 151250 $ per year.
- 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.
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Enterprise Data & AI Architect: Strategy & Delivery in Melbourne employer: Halcyon Knights
Halcyon Knights is an exceptional employer located in the vibrant city of Melbourne, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from ongoing professional development opportunities and a commitment to meaningful projects that drive real-world impact, making it an ideal place for those looking to grow their careers while contributing to transformative AI initiatives.
We think you need these skills to ace Enterprise Data & AI Architect: Strategy & Delivery in Melbourne
Enterprise Architecture
Data Architecture
Machine Learning
Generative AI
Agentic-AI Solutions
Platform Engineering
Integration
