AI Solutions Engineer

CyberOne

13d • Remote

About The Position

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.

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.

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.

Requirements

• Strong software engineering experience (use of languages is flexible)
• Hands-on experience building applications using a variety of AI platforms
• Experience building AI agents, tool-calling workflows or deterministic automation
• Experience integrating applications with APIs, databases and external systems
• Ability to understand and analyse business processes
• Strong solution design and architecture skills
• Experience translating ambiguous business problems into practical technical solutions
• Ability to prototype rapidly and iterate based on user feedback
• Strong stakeholder communication and consulting skills
• Comfortable working independently in a greenfield environment

Nice To Haves

• Experience with Agent and workflow orchestration frameworks
• Experience with RAG, embeddings, vector search and enterprise knowledge retrieval
• Experience with Evaluation and monitoring of LLM applications
• Experience with Prompt and context engineering
• Experience with Cloud platforms such as Azure, AWS or GCP
• Experience with Workflow and automation platforms
• Experience with Enterprise system integrations
• Experience with AI security, permissions, governance and guardrails
• Experience with CI/CD and production deployment of AI applications

Responsibilities

• 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.
• Run discovery sessions with business and technical teams
• Map existing processes, systems, pain points and manual activities
• Identify and prioritise opportunities for AI and automation
• Challenge existing processes and design improved future-state workflows
• Translate business problems into technical requirements and solution designs
• Build prototypes and proofs of concept to validate ideas quickly
• Develop AI applications, agents and automation workflows
• Integrate AI solutions with existing systems, APIs and data sources
• Integrate disparate systems to automate workflows and remove manual effort
• Design appropriate human-in-the-loop controls, guardrails and monitoring
• Test solutions and measure their effectiveness against defined business outcomes
• Take successful prototypes through to production
• Support teams with adoption and new ways of working
• Help establish reusable AI architecture, engineering patterns and best practices
• Contribute to the organisation's longer-term internal AI and automation roadmap

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed