Kinetic IT launches AI engineering and platforms division

Kinetic IT has launched an AI engineering and platforms division.

The idea is to expand Kinetic’s services beyond advisory to embedding engineers directly within customer environments to design, build and deploy AI solutions. The new division sits within the Office of the Chief Transformation Officer, which is run by Kishore Jayaram.

Central to the new capability is a Forward Deployed Engineer (FDE) model, where senior AI engineers work alongside customer teams inside operational environments to rapidly develop and implement AI solutions tailored to each organisation's needs.

Kinetic IT will initially recruit four FDEs to work directly with customers in aviation, utilities, government and resources, supporting organisations operating across more than 2,600 sites nationally

Simultaneously, Marcio Sete has been named head of AI engineering and platforms and joins the company with extensive experience delivering enterprise AI, data and platform engineering initiatives across complex organisations. 

He will lead the new practice, build its engineering capability and work closely with customers to develop production-ready AI solutions that aim to improve operational efficiency and strengthen business outcomes.

"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,” Jayaram said.

"AI Engineering and 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."

“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.

"FDEs 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."