Senior AI Engineer at PAConsulting

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.