Solutions Engineer

s a Solutions Engineer , you will design and prototype scalable digital solutions (AI, Cloud, Edge) to accelerate technology adoption across a global group of companies. Reporting to the Senior Solutions Architect, you will bridge the gap between high-level strategy and hands-on technical delivery. Key Responsibilities Prototyping: Build Proof of Concepts (POCs) for Generative AI, VR/AR, and Edge AI to solve business problems. Engineering: Develop reusable technical assets, reference architectures, and templates to speed up deployment across business units. Enablement: Mentor technical teams on modern practices (CI/CD, code quality, Agile) and roll out group-wide digital initiatives. Collaboration: Translate business requirements into technical prototypes for senior stakeholder engagement. Technical Requirements Cloud/Dev: 5 years of Azure (App Services, Functions) and C# or Python experience. Architecture: Expertise in RESTful APIs, microservices, and event-driven design. DevOps: Strong skills in Git, Azure DevOps, and CI/CD pipeline automation. Desired: Experience with LLMs (RAG, LangChain) , Power Platform, or modern frontend frameworks (React/Angular). Professional Profile Mindset: Entrepreneurial, resourceful, and pragmatic with a "can-do" work ethic. Consulting: Ability to navigate complex organizations and influence technical change. Innovation: Passion for applying emerging trends to real-world industrial and health-tech challenges. Logistics Location: London (Hybrid) 65K Base 10% Bonus Travel: Periodic travel to UK and international operating sites.