About
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.
Responsibilities
•Work to agile best practices and cross-functionally with multiple teams and stakeholders
•Use your technical skills to problem solve with clients, as well as working on internal projects
•Take part in live in-person whiteboarding sessions to problem solve as a team, alongside asynchronous communication on Teams
•Experiment with Generative AI frameworks and tools such as LangChain, LlamaIndex, Hugging Face, and APIs from OpenAI and Anthropic
•Build retrieval-augmented generation (RAG) prototypes with vector stores and knowledge graphs
•Develop and test agentic architectures through PA's own Genie Platform – enabling AI agents that reason, retrieve, and act across systems
•Explore LLMOps, evaluation tools, and model observability platforms like TruLens and LangSmith
•Deploy solutions on modern cloud and DevOps environments (AWS, Azure, GCP) – but always choose the right tools for the problem at hand
•Constantly learn, test, and share findings across the internal AI community
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
Conditions
•Hybrid working - in the office or on client site a minimum of 2 days per week
•Grow a flexible and unique career within a trust-based, inclusive environment that values excellence, innovation, and curiosity
•Option to progress 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
•Work on a broad variety of projects and tech stacks for clients across seven sectors - no project is ever the same
•Join a supportive and collaborative tech community through knowledge-sharing and peer-level support, coaching and mentoring
•Deepen your expertise through a culture of learning and growth – budget to take courses (technical and non-technical training), plus certifications
•Hybrid working with the team on client site or in the office a minimum of two days per week; actual time and location may vary by role or assignment, including up to 5 days per week on a client site
•Health and lifestyle perks including 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)
