AI Solutions Engineer

Job not on LinkedIn

🔥 1 minute ago

🇵🇭 Philippines – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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CyberOne

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2005

🔒 Cybersecurity

🤝 B2B

Cybersecurity • B2B

CyberOne is a UK-based cybersecurity services company that provides 24x7 managed detection and response, incident response, Microsoft security integrations, penetration testing, cloud security, and professional consulting to help organisations build measurable cyber resilience. They deliver AI-augmented MXDR and other managed security services powered by Microsoft technologies, focusing on rapid detection, containment, compliance and continuous risk reduction for enterprise and regulated sectors.

📋 Description

• 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 • 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 human-in-the-loop controls, guardrails, and monitoring • Test solutions and measure effectiveness against defined business outcomes • Take successful prototypes through to production • Support teams with adoption and new ways of working • Establish reusable AI architecture, engineering patterns, and best practices • Contribute to the longer-term internal AI and automation roadmap • Build AI systems, agents, automation, support assistants, workflow automation, and AI capabilities embedded in existing applications as opportunities arise

🎯 Requirements

• Strong software engineering experience; programming language 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 • Useful experience with agent and workflow orchestration frameworks • Useful experience with RAG, embeddings, vector search, and enterprise knowledge retrieval • Useful experience with evaluation and monitoring of LLM applications • Useful experience with prompt and context engineering • Useful experience with Azure, AWS, or GCP • Useful experience with workflow and automation platforms • Useful experience with enterprise system integrations • Useful experience with AI security, permissions, governance, and guardrails • Useful experience with CI/CD and production deployment of AI applications

🏖️ Benefits

• No specific benefits or compensation extras stated