Senior AI Solution Architect

Candidate Description

Marked by a unique blend of academic rigour and enterprise pragmatism, this Senior AI Solution Architect leverages more than 11 years of experience to translate complex operational challenges into governed, production-ready AI systems. Operating at the intersection of systems thinking, cloud data platforms and applied machine learning, they excel at redesigning fragmented, person-dependent workflows within regulated, data-intensive environments. Their doctorate in Information Systems underpins a capacity to link strategy, architecture and hands-on engineering for measurable business impact.

Demonstrated expertise spans agentic AI, large-language-model orchestration, MLOps and cloud engineering. At a Healthcare Company they led the delivery of an agentic CI/CD platform integrating GitHub Copilot agents with AWS ECS Fargate, and rolled out an operational-intelligence platform that saved AUD 150,000 annually. Previous engagements with an Academic Institution saw them architect multimodal intelligent-claims triage and cyber-intelligence solutions, automating up to 95 % of decisions and lifting daily throughput to 17,000 pages. Proficiencies include Python, PyTorch, TensorFlow, SQL, Kubernetes, Terraform, Snowflake, Microsoft Fabric, CI/CD and advanced governance frameworks for LLMOps and AgentOps.

Combining leadership, mentorship and deep technical acumen, they navigate cross-functional stakeholder landscapes to secure buy-in and drive adoption. Their track record of delivering FTE savings, risk reduction and operational capacity uplift across life-sciences manufacturing, insurance, and government-funded research showcases adaptability and value creation. Adept at guiding teams from discovery through controlled production roll-out, this professional offers an ideal balance of visionary architecture and hands-on execution to help organisations realise transformative AI-driven outcomes.