Impress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this AI Engineer - E2 role.
Rezi rewrites your resume against Nationwide's job description. Free.

Tailor your resume to this AI Engineer - E2 role.
Rezi rewrites your resume against Nationwide's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the AI Engineer - E2 posting at Nationwide — free, in seconds.

Don't guess if your resume is good enough.
See how it scores against the AI Engineer - E2 posting at Nationwide — free, in seconds.
About the Role
We are seeking a hands-on AI Engineer passionate about transforming emerging AI technologies into practical solutions that deliver real business value. Working within the Customer Operations team, you will design, build, and deploy AI-powered products using cutting-edge technologies like Azure AI Foundry, Azure OpenAI, agentic AI, and large language models. Your work will involve developing intelligent applications to enhance customer and colleague experiences and creating reusable AI frameworks, significantly influencing AI adoption across the organization.
Responsibilities
- Design, build, and deploy AI solutions that solve real business challenges and create value for Customer Operations teams.
- Develop intelligent applications using agentic AI, RAG, vector search, and machine learning technologies with Azure AI Foundry, Azure OpenAI, and open-source large language models.
- Collaborate with engineers, data specialists, and business stakeholders to transition AI solutions from concept to production using scalable, secure deployment practices.
- Create reusable AI assets, frameworks, and best practices to accelerate AI adoption across the organization.
- Simplify complex AI concepts and guide stakeholders on practical implementation to improve customer and colleague experiences.
- Promote responsible and effective use of emerging AI technologies.
Requirements
- Proven capability in building AI solutions using Azure AI Foundry, Azure OpenAI, OpenAI, Azure AI Search, and open-source large language models (LLMs).
- Advanced Python skills with experience in developing, deploying, and optimizing ML and AI solutions using frameworks like OpenRAG, OmniVec, Llama, PyTorch, TensorFlow, Keras, and Scikit-learn.
- Practical experience with prompt engineering, AI evaluation frameworks, monitoring, observability, and LLMOps.
- Solid understanding of Responsible AI principles and hands-on use of OpenAI and Claude models.
- Experience designing and delivering multi-agent AI solutions, retrieval-augmented generation (RAG) applications, vector databases (including Cosmos DB), embedding models, and semantic search capabilities.
- Demonstrable experience deploying AI solutions through Azure AI Foundry using GitHub Actions and Azure DevOps CI/CD pipelines.
- Knowledge of automated testing, release management, and production support practices.
- Demonstrable knowledge of reasoning models, multimodal AI, AI-assisted development (vibe coding), and cloud-based AI architectures and solutions.
- Excellent communication and stakeholder management skills, with the ability to simplify complex AI concepts for various audiences.
- A collaborative and proactive problem-solver passionate about learning and focused on delivering outcomes.
- Demonstrate customer-first behaviors: Feel what customers feel, Say it straight, Push for better, Get it done.
Skills
- AI & GenAI Development
- Azure AI Foundry
- Azure OpenAI
- OpenAI
- Azure AI Search
- Large Language Models (LLMs)
- Python
- Machine Learning
- OpenRAG
- OmniVec
- Llama
- PyTorch
- TensorFlow
- Keras
- Scikit-learn
- LLMOps
- Responsible AI
- Prompt Engineering
- AI Evaluation Frameworks
- Monitoring
- Observability
- Agentic AI
- Vector Search
- Retrieval-Augmented Generation (RAG)
- Vector Databases
- Cosmos DB
- Embedding Models
- Semantic Search
- AI Platform Deployment
- DevOps
- GitHub Actions
- Azure DevOps CI/CD pipelines
- Automated Testing
- Release Management
- Production Support
- Reasoning Models
- Multimodal AI
- AI-Assisted Development
- Cloud-based AI Architectures
- Communication
- Stakeholder Management
Location
- London, UK
- Swindon, UK
- Northampton, UK
Work Type
- Hybrid working
- Full-time
Experience Level
- Proven capability
- Advanced skills
- Practical experience
- Solid understanding
- Demonstrable experience
- Demonstrable knowledge
Benefits
- 25 days holiday, pro rata
- Private medical insurance
- Highly competitive pension
- Access to an annual performance-related bonus
- Training and development
- Salary sacrifice scheme
- Life assurance
- Wellhub – access to health and wellness options
- Up to 2 days of paid volunteering a year
About the Company
- Nationwide is a mutual organization owned by its members, challenging the financial sector status quo by prioritizing member needs and sharing profits.
- We are inspired by fairer finances, passionate about making a meaningful impact, and care deeply about our customers.
- At Nationwide, employees are challenged to grow, rewarded for doing so, valued, recognized, and inspired to be their best.
- We are a community where working lives count, a team that celebrates achievements, and a standard-setter working for the good of customers, communities, and broader society.
- We are purpose-driven, uncompromisingly customer-focused, and unstoppably Nationwide.
Equal Opportunity
- Nationwide is a Disability Confident Level 3 Leader, committed to evolving policies and practices to ensure everyone feels genuinely supported, valued, and empowered to champion inclusion.
- We offer additional support throughout the application journey for individuals with specific needs.