Senior AI Engineer

PA. Bringing Ingenuity to Life.

We believe in the power of ingenuity to build a positive human future.

As strategies, technologies, and innovation collide, we create opportunity from complexity.

Our teams of interdisciplinary experts combine innovative thinking and breakthrough technologies to progress further, faster. Our clients adapt and transform, and together we achieve enduring results.

We are over 4,000 strategists, innovators, designers, consultants, digital experts, scientists, engineers, and technologists. And we have deep expertise in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport.

Our teams operate globally from offices across the UK, Ireland, US, Nordics, and Netherlands.

• 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. However, the actual time you spend and where you spend it will vary by role or assignment, including up to 5 days per week on a client site.
• 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 Lang Chain, Llama Index, 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 Tru Lens and Lang Smith.
• Deploying solutions on modern cloud and Dev Ops 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.

Even if you don’t meet every requirement below, feel free to still apply as we are often hiring for similar roles which your background might be better suited to.

• 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 Dev Ops / Dev Sec Ops  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.

We therefore ask that you only apply if you meet the residency requirements (i.e. you are a British citizen or have been resident in the UK for the past 5 years), as this is the prerequisite for a security clearance. If you're unsure about your eligibility, we encourage you to review the UK Government’s guidance on security vetting before applying.

Please note that the interview stages may be subject to change based on the specific requirements of the role.

• 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…