At a Glance
- Tasks: Join a team of experts to innovate and develop AI solutions that make a real-world impact.
- Company: PA Consulting, a global leader in technology and innovation.
- Benefits: Enjoy flexible working, competitive salary, health perks, and opportunities for professional growth.
- Other info: Experience a supportive culture that values learning, inclusion, and personal development.
- Why this job: Be at the forefront of AI technology and collaborate on diverse projects across various sectors.
- Qualifications: Passion for AI, strong coding skills, and a collaborative mindset are essential.
The predicted salary is between 60000 - 80000 £ per year.
We believe in the power of ingenuity to build a positive human future. We challenge where it matters and own the outcome. We combine strategic thinking, customer-centric service design, and agile engineering practices to accelerate innovation in a tech-driven world.
Why consider joining our Digital & Data community?
- Join our Digital & Data team working alongside product, design and a wide range of other experts and cross-disciplinary teams to bring ideas to life through innovative software solutions.
- Grow a flexible and unique career within a trust-based, inclusive environment that values excellence, innovation, and curiosity.
- You have the option to progress with us on a technical career track.
- Hybrid working - our approach is to be in the office or on client site a minimum of 2 days per week.
- Work on a broad variety of projects and tech stacks for clients across seven sectors - no project is ever the same.
- Join other experts within our supportive and collaborative tech community through knowledge-sharing and peer-level support, coaching and mentoring.
- Deepen your expertise through our culture of learning and growth - you'll have budget to take courses (technical and non-technical training), plus gain certifications.
What you can expect:
- Work to agile best practices and cross-functionally with multiple teams and stakeholders.
- You'll be using your technical skills to problem solve with our clients, as well as working on internal projects.
- Live in-person whiteboarding sessions to problem solve as a team, alongside asynchronous communication on Teams.
- Hybrid working with the team on client site or in our office a minimum of two days per week.
- An environment that deeply cares about its values.
We're hands-on with emerging technologies - exploring what works, what scales, and what's next:
- Experimenting with Generative AI frameworks and tools such as LangChain, LlamaIndex, Hugging Face, and APIs from OpenAI and Anthropic.
- Building retrieval-augmented generation (RAG) prototypes with vector stores and knowledge graphs.
- Developing and testing agentic architectures through our own Genie Platform - enabling AI agents that reason, retrieve, and act across systems.
- Exploring LLMOps, evaluation tools, and model observability platforms like TruLens and LangSmith.
- Deploying solutions on modern cloud and DevOps environments (AWS, Azure, GCP) - but always choosing the right tools for the problem at hand.
- Constantly learning, testing, and sharing findings across our internal AI community.
Qualifications:
Essential requirements:
- Software engineers with a passion for AI - or data scientists who've embraced engineering.
- People who experiment, prototype, and explore emerging AI tools in their own time.
- Strong foundation in a language suited to AI system development and data workflows.
- Experience integrating models with APIs, data sources, or production systems.
- Curiosity about LLMs, RAG pipelines (Graph & Vector based), and agent frameworks.
- Understanding of cloud-native (AWS / GCP / Azure) and DevOps / DevSecOps practices.
- A collaborative mindset and willingness to share, learn, and teach.
- Understanding of prompt and context engineering and model evaluation.
- Solid grasp of distributed systems, microservices, and RESTful APIs.
- An understanding of LLMOps tools for managing GenAI workflows.
Please be aware that some of our UK roles at PA Consulting require a UK security clearance. All PA people are required to undergo background checks and to achieve the Baseline Personnel Security Standard however, some UK roles also require higher levels of National Security Vetting, where applicants must have at least 5 years of continuous residency in the UK.
Additional information:
Assessment process:
- Quick call with one of our Tech Recruiters - to discuss your application, the role and PA.
- Round 1: Either a competency or technical interview (60 mins).
- Round 2: Either a competency or technical interview, whichever you didn't do at first round (60 mins).
- Final round: Meeting with a PA leader - a mini case study and discussion around your client-centricity (60 mins).
Life At PA encompasses our peoples' 's about how we enrich peoples' working lives by giving them access to unique people and growth opportunities and purpose led meaningful work. Our purpose guides how we work with our clients and our teams, and support our communities, to deliver insight and impact, solving the world's most complex challenges.
We're focused on building a workplace that values human difference and diverse mindsets, and a culture of inclusion and equality that unlocks the potential in our people so everyone can be their best self. We are dedicated to supporting the physical, emotional, social and financial well-being of our people.
Check out some of our extensive benefits:
- Health and lifestyle perks accompanying private healthcare for you and your family.
- 25 days annual leave (plus a bonus half day on Christmas Eve) with the opportunity to buy 5 additional days.
- Generous company pension scheme.
- Opportunity to get involved with community and charity-based initiatives.
- Annual performance-based bonus.
- PA share ownership.
- Tax efficient benefits (cycle to work, give as you earn).
We're committed to advancing equality. We recruit, retain, reward and develop our people based solely on their abilities and contributions and without reference to their age, background, disability, genetic information, parental or family status, religion or belief, race, ethnicity, nationality, sex, sexual orientation, gender identity (or expression), political belief, veteran status, any other range of human difference brought about by identity and experience. We welcome applications from underrepresented groups.
Adjustments or accommodations - Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us.
Senior AI Engineer in Lisburn employer: PA Consulting
At PA Consulting, we pride ourselves on fostering a dynamic and inclusive work culture that champions innovation and personal growth. As a Senior AI Engineer, you'll collaborate with a diverse team of experts in a hybrid working environment, allowing you to engage in exciting projects across various sectors while benefiting from extensive training budgets and a commitment to your professional development. With a focus on well-being and a range of generous benefits, including private healthcare and a robust pension scheme, PA is dedicated to creating a supportive atmosphere where you can thrive and make a meaningful impact.
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We think this is how you could land Senior AI Engineer in Lisburn
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We think you need these skills to ace Senior AI Engineer in Lisburn
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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How to prepare for a job interview at PA Consulting
✨Brush Up on Your Statistics
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.