Intern in AI Engineering focused on LLMs and automation in a tech - driven team. Working on innovative AI projects and contributing to the development of automated systems.
About the role
- AI Architect focusing on scalable Generative AI solutions using Azure for client strategies. Collaborating with sales, engineering, and delivery teams.
Responsibilities
- Collaborate with clients, sales, and delivery teams to understand business drivers and translate them into sustainable AI architectures.
- Architect and engineer Generative AI solutions using Azure AI Foundry, Copilot Studio, Azure OpenAI Service, Azure AI Search, and related tooling.
- Provide technical leadership and domain expertise throughout the AI solution lifecycle, from strategy through delivery and deployment.
- Instil governance frameworks, security guardrails, and Responsible AI best practices across all solutions.
- Design scalable, repeatable AI architecture patterns that accelerate adoption and reuse across engagements.
- Act as a subject matter expert: advising on AI adoption strategy, co-created client roadmaps, and enabling innovation via Copilot Studio and Azure AI.
- Mentor and enable AI delivery teams, fostering capability uplift and technical growth.
Requirements
- Proven track record in architecting and delivering Generative AI and LLM-based solutions on Microsoft Azure.
- Familiarity with Azure AI Foundry is highly desirable.
- Deep expertise in Azure AI stack: Azure OpenAI, Azure AI Services, Azure Machine Learning, Copilot Studio, and building AI agents / Agentic solutions.
- Solid experience implementing RAG pipelines, NLP, CLU, conversational architectures, and prompt engineering.
- Strong software engineering foundations (Python, .NET, C#) with experience in DevOps, containers, API design, and MLOps/GenAIOps.
- Demonstrated ability to embed governance, security, and Responsible AI principles into solution design.
- Excellent stakeholder management and communication skills, with experience in pre-sales, client advisory, and delivery leadership.
- Bachelor’s or Master’s degree in Computer Science, AI, Software Engineering, or equivalent experience.
Benefits
- To work at a 3* World Class Best Company
- Flexibility over where you work with our Winning from Anywhere® approach
- 25 days holiday
- Home working allowance paid monthly
- Winning from Anywhere® allowance to help your set up at home
- 24/7 GP at hand
- Immediate 24/7 access to an Employee Assistance Programme
- Company sick pay scheme
- 4x base salary life assurance
- Private health insurance after a successful year’s service
- Enhanced parental pay and leave
- Access to the Perkbox platform
- Cyclescheme
- Electric car scheme
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Junior AI Engineer developing agentic systems for AI fintech solutions in healthcare. Collaborating in agile team to create impactful and innovative AI applications.
AI Engineer at Nightfall developing AI systems to prevent data leaks for leading organizations. Collaborating with engineers to enhance AI models and drive operational excellence in data protection.
AI Engineer role in the gaming industry focusing on building and deploying generative AI solutions. Collaborate with data, IT, and business teams to integrate AI capabilities.
Founding AI Engineer at Skiffra designing AI native orchestration frameworks leveraging LLMs and real - time data. Collaborating with founders to build intelligent workflows in mining and natural resources.
Lead Applied AI Engineer developing and deploying advanced AI systems to improve healthcare experiences at Humana. Collaborate with teams to integrate AI capabilities into secure healthcare platforms.
Senior AI Engineer on Data Ingestion & AI team at Dovetail, transforming data into actionable insights. Collaborate with engineering to enhance AI features and mentor other engineers.
AI Engineer responsible for training vision - language models for AI Safety company in Paris. Extending capabilities to video and optimizing inference for production environments.
AI Engineer specializing in training audio and multimodal models for AI safety. Work at White Circle, focusing on production - ready solutions for AI systems.
AI Developer at Wealth Management designing and deploying generative AI models into production. Collaborating with teams and optimizing model performance in cloud - native architectures.