Kinetic IT creates AI engineering division

Australian ICT managed services provider Kinetic IT has launched an AI engineering and platforms division aimed at helping government and critical infrastructure organisations deploy AI.

The division sits within the office of the Chief Transformation Officer and will focus on helping customers rapidly develop and implement AI solutions for their operational environments.

The division will use a forward-deployed engineer model involving senior engineers working alongside their customers. Kinetic IT plans to recruit an initial four engineers to work with customers in aviation, utilities, government and resources.

Kinetic IT CTO Kishore Jayaram said the division has been created to help customers deliver on the promise of AI.

“Organisations want practical outcomes from AI, not more proof-of-concepts. They are looking for trusted partners who understand their operations and can help deploy AI safely within complex, mission-critical environments,” he said. “AI Engineering & Platforms extends Kinetic IT’s ability to support customers through this next stage of adoption. By embedding experienced engineers alongside customer teams, we can help organisations solve real operational challenges while maintaining the security, governance and reliability expected across government and critical infrastructure.”

Kinetic IT has appointed Marcio Sete to lead the division as Head of AI Engineering & Platforms. Sete is the former Chief Product & Technology Officer of AI-focused human resources company Euda, and has also held a similar role at IT system custom software development company Flomatika (now Falcon Metrics). He also spent six years at IT services and consulting company Elabor8 and was founder and CEO of software developer Challenge Innovative Technologies in Brazil, among other technology roles.

“Many organisations already know where AI could create value. The challenge isn’t identifying opportunities, it’s turning them into secure, production-ready solutions that work within complex operational environments,” Sete said.

“Forward Deployed Engineers close that gap. Rather than advising from the outside, they become part of the customer’s team, working alongside engineers, operators and business leaders to design, build and deploy AI where it creates measurable operational value. It’s a collaborative engineering model that helps organisations move from experimentation to production with greater confidence.”

Image credit: iStock.com/Shutthiphong Chandaeng