Solutions Architect – Data & AI

Candidate Description

Marked by a decisive blend of leadership acumen and deep technical prowess, this professional has spent more than a decade driving AI-powered innovation across manufacturing, government, consulting and start-up environments. They excel at steering cross-functional engineering teams from concept through delivery, underpinned by solid expertise in computer vision, machine learning and cloud platforms such as AWS and Azure. Experience spans AI-enabled hardware design, large-scale data solutions and strategic technology road-mapping, anchored by a PhD in Computer Science (AI).

Their technical acumen is demonstrated through the successful architecture of semantic-search and recommendation engines for a Government Entity, computer-vision analytics for an AI Services Provider’s sports-performance platform adopted by a National Rugby Team and a Major Sports League, and scalable MLOps pipelines at a Technology Provider. Adept at Python-based development, data modelling and documentation, they have delivered AI algorithms that minimise manual effort, extract real-time labour-market insights and extend sensor measurement ranges in scientific instrumentation. Throughout, they apply rigorous project planning and documentation practices while collaborating closely with C-suite stakeholders.

Blending strategic vision with hands-on delivery, they mentor multidisciplinary teams, introduce governance frameworks and champion continuous improvement. Their adaptability is evidenced by successful engagements across e-commerce, healthcare and advanced manufacturing, often assuming acting-CTO responsibilities to keep programmes on track. Organisations seeking a visionary yet pragmatic Solutions Architect or Head of AI / ML will benefit from this individual’s ability to convert complex business challenges into high-impact, production-ready AI solutions.