Senior AI Engineer

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. No need to go onto the Partner career track if this doesn’t align with what you want to do.  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. 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.  An environment that deeply cares about its values Values | PA Consulting 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 ✅  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 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.