At a Glance
- Tasks: Lead the design of innovative AI solutions and define our long-term AI strategy.
- Company: Join a market-leading insurance company with a people-first culture.
- Benefits: Flexible working, competitive salary, and a supportive environment.
- Other info: Exciting career growth opportunities in a dynamic, collaborative setting.
- Why this job: Shape impactful AI solutions and influence the future of technology.
- Qualifications: Expertise in Python and modern AI frameworks required.
The predicted salary is between 80000 - 100000 £ per year.
We’re 1st Central, a market-leading insurance company utilising smart data and technology at pace. Rapid growth has been based on giving our 1.4 million customers exactly what they want: great value insurance with an excellent service. And that’s the same for our colleagues too; we won Insurance Employer of the Year at the British Insurance Awards 2024 and our Glassdoor score is pretty mega too!
An exciting opportunity has arisen for a Principal AI Engineer to join us as a senior technical authority for AI and Generative AI, defining our long-term AI engineering strategy and leading the design of enterprise‑grade solutions that deliver safe, scalable and high‑impact AI across the business.
You’ll build secure, scalable multi‑provider AI platforms, leveraging third‑party capabilities where they add value that minimise vendor lock‑in and support rapid experimentation across Azure OpenAI and alternative LLM ecosystems. You’ll also shape the design of agentic AI systems, orchestration layers, and integration patterns that support flexible, production‑ready AI solutions at pace.
Working closely with Enterprise Architecture, Security, Data, Platforms, and senior business leaders, you’ll ensure all AI solutions are robust, compliant, and aligned to organisational goals. You’ll also provide technical leadership across the engineering community, mentoring senior engineers, setting technical governance standards, and championing responsible and ethical AI practices.
This is a flexible hybrid role, with occasional visits to our offices in Salford Quays (Manchester) or Haywards Heath (West Sussex) when needed. We offer excellent flexibility in working patterns, along with a supportive, people‑focused culture that we’re proud of.
Core skills we’re looking for to succeed in the role:- Expert‑level Python development and strong familiarity with modern AI frameworks (e.g., LangChain or equivalent).
- Exceptional system design and architectural reasoning skills, particularly for distributed and AI‑driven systems.
- Ability to balance innovation with pragmatism, risk, and operational constraints.
- Outstanding communication and influencing skills, able to engage effectively at engineer, architect, and executive levels.
- Demonstrable leadership in AI Ops, including monitoring, governance and operational resilience.
- Strong strategic thinking combined with the ability to remain hands‑on when required.
- You’ll define and own the enterprise AI engineering strategy, vision, and solution design standards across both custom‑built and integrated AI solutions.
- You’ll evaluate, select, and adopt emerging AI technologies, balancing in‑house development with vendor platforms to ensure flexibility and avoid lock‑in.
- You’ll design secure, scalable AI platforms and systems spanning Azure OpenAI, multi‑provider LLMs, orchestration layers, and enterprise integration patterns.
- You’ll establish and govern best‑practice engineering patterns for model integration, API‑first design, vector search, and deployment of AI services.
- You’ll oversee delivery and operationalisation of AI platforms and solutions, whether internally engineered or externally sourced, ensuring they meet enterprise readiness criteria.
- You’ll set and enforce AI engineering governance for model lifecycle management, testing, validation, observability, and compliance.
- You’ll partner across Enterprise Architecture, Security, Data, Platforms, and business teams to ensure solutions align with regulatory, security, and risk expectations.
- You’ll provide senior technical leadership across cloud infrastructure, identity, networking, and security needed to support AI workloads.
- You’ll mentor and develop senior engineers, fostering communities of practice and uplifting engineering capability and reusable frameworks.
- You’ll champion Responsible AI and ensure all AI solutions, built or integrated, meet ethical, fair, transparent, and secure standards.
- Extensive experience designing and leading enterprise‑scale AI and Generative AI platforms in production environments.
- Deep expertise in cloud‑based AI services, particularly Azure OpenAI, Cognitive Services, and advanced RAG architectures.
- Proven ability to design API‑first, microservices‑based AI systems integrated into complex enterprise ecosystems.
- Strong background in Azure infrastructure, networking, identity, and security architecture.
- Significant experience with Infrastructure as Code, CI/CD, and cloud‑native deployment strategies.
- Demonstrated leadership in AI Ops / including monitoring, governance, and operational resilience.
- Broad understanding of adjacent AI disciplines such as NLP, Computer Vision, and data engineering.
- Prior experience in financial services or insurance sectors advantageous.
- Familiarity with AzureML, Databricks, related Azure technologies, Docker, Kubernetes, and containerization is advantageous.
- Expert‑level Python development and strong familiarity with modern AI frameworks (e.g. LangChain or equivalent).
- Exceptional system design and architectural reasoning skills, particularly for distributed and AI‑driven systems.
- Ability to balance innovation with pragmatism, risk, and operational constraints.
- Outstanding communication and influencing skills, able to engage effectively at engineer, architect, and executive levels.
- Strong strategic thinking combined with the ability to remain hands‑on when required.
- Embrace, embed and incorporate the company values.
- Self‑motivated and enthusiastic.
- An organised and proactive approach.
- Strong stakeholder management.
- Ability to work on own initiative and as part of a team.
- A flexible approach and positive attitude.
- Strives to drive business improvements to contribute to the success of the business.
If you’re excited by the idea of shaping meaningful AI solutions and influencing how an organisation embraces intelligent technology, this is a role where your impact will truly be felt.
What can we do for you? People first. Always. We’re passionate about our colleagues and know the best people deserve an extraordinary working environment. We owe it to them so that’s what we offer. Our workplaces are energetic, inspirational, supportive.
Intrigued? Our Talent team can tell you everything you need to know about what we want and what we’re offering, so feel free to get in touch.
Principal AI Engineer in Manchester employer: First Central Services
At 1st Central, we pride ourselves on being a people-first employer, offering a dynamic and supportive work culture that champions flexibility and innovation. As a Principal AI Engineer, you'll not only lead cutting-edge AI initiatives but also benefit from our commitment to employee growth through mentorship and collaboration with senior leaders. With our recent accolade as Insurance Employer of the Year and a vibrant office environment in Salford Quays, you’ll find a rewarding career path that values your contributions and fosters professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Principal AI Engineer in Manchester
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the AI space. Building relationships can open doors that a CV just can’t.
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio of projects or contributions to open-source AI initiatives. This gives potential employers a tangible sense of what you can do and how you think.
✨Ace the Interview
Prepare for those interviews by brushing up on both technical skills and soft skills. Practice explaining complex concepts in simple terms, as communication is key when working with diverse teams and stakeholders.
✨Apply Through Our Website
When you find a role that excites you, apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Principal AI Engineer in Manchester
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with AI and Python. We want to see how your skills align with our needs, so don’t hold back on showcasing your relevant projects!
Showcase Your Technical Skills:When detailing your experience, focus on your expertise in modern AI frameworks and systems architecture. We’re looking for someone who can lead the charge in AI engineering, so let us know how you’ve done this in past roles.
Communicate Clearly:Your written application should reflect your outstanding communication skills. Be clear and concise, and make sure to explain complex concepts in a way that’s easy to understand. We value clarity just as much as technical prowess!
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super straightforward!
How to prepare for a job interview at First Central Services
✨Know Your AI Stuff
Make sure you brush up on your Python skills and modern AI frameworks like LangChain. Be ready to discuss your experience with designing enterprise-scale AI platforms and how you've tackled challenges in previous roles.
✨Showcase Your Strategic Thinking
Prepare examples that highlight your ability to balance innovation with operational constraints. Think about times when you've had to make tough decisions regarding technology choices or project direction, and be ready to share those stories.
✨Communicate Like a Pro
Since this role involves engaging with various stakeholders, practice explaining complex technical concepts in simple terms. Be prepared to demonstrate your influencing skills and how you've successfully collaborated with different teams in the past.
✨Emphasise Ethical AI Practices
Familiarise yourself with responsible AI principles and be ready to discuss how you've implemented ethical standards in your previous projects. This will show that you not only understand the technology but also its implications in the real world.