AI Solutions Engineer

“I am hugely excited about my future and the future of CyberOne. I have enjoyed my time here immensely and have learnt a huge amount in a short space of time, year-for-year I've learnt more here than I have at Microsoft and PwC.” - CyberOne Consultant About CyberOne CyberOne is a pure-play Microsoft security partner dedicated to helping enterprises realise the full value of the Microsoft Security portfolio—across Defender XDR, Sentinel, Entra, Purview, Intune, Copilot for Security and more. We combine deep technical expertise with outcome-driven services that accelerate secure cloud adoption, modernise threat protection and simplify compliance. Job Title: AI Solutions Engineer Location: Fully Remote/PH Employment Type: Full-time | Contractual Reports to: Microsoft Practice Director CyberOne are seeking an experienced AI Solutions Engineer to help our organisation identify, design and deliver practical AI and automation solutions across the business to improve internal efficiency. This is a greenfield opportunity where you will be responsible for identifying, designing and implementing AI-driven solutions that improve the way the business operates. The Role This role sits at the intersection of AI engineering, solution design, business analysis and transformation. The successful candidate will work closely with stakeholders across the organisation to understand how different teams operate, identify opportunities for improvement, and design practical AI solutions that deliver measurable business value. Rather than simply building AI tools, you will be expected to understand existing business processes, challenge current ways of working and help define future-state processes that leverage AI, automation and intelligent agents. What You'll Be Doing You will work across different areas of the organisation to understand how work gets done today and identify opportunities where AI, agents, and automation could improve it. Your work will involve: Running discovery sessions with business and technical teams Mapping existing processes, systems, pain points and manual activities Identifying and prioritising opportunities for AI and automation Challenging existing processes and designing improved future-state workflows Translating business problems into technical requirements and solution designs Building prototypes and proofs of concept to validate ideas quickly Developing AI applications, agents and automation workflows Integrating AI solutions with existing systems, APIs and data sources Integrating disparate systems to automate workflows and remove manual effort Designing appropriate human-in-the-loop controls, guardrails and monitoring Testing solutions and measuring their effectiveness against defined business outcomes Taking successful prototypes through to production Supporting teams with adoption and new ways of working Helping establish reusable AI architecture, engineering…