Jobs at PA Consulting

Design, prototype, and deploy generative AI and LLM-based systems (RAG, agents, LLMOps). Integrate models with APIs, data sources and production systems, apply cloud-native and DevOps practices, evaluate models, and collaborate across product, design and engineering teams.

Lead and grow architecture and development teams, shape and communicate multi-domain architectural strategies, drive business development and client relationships, coach team members, and deliver end-to-end solutions for complex, client-facing engagements in defence and related sectors.

Consult on data science and advanced analytics projects: translate business needs into analytical approaches, design and build models, run exploratory analysis, deliver end-to-end analytical solutions, collaborate cross-functionally, present findings to technical and non-technical stakeholders, and support handover and implementation.

Design, build and deploy production data pipelines and big-data architectures on AWS. Ingest, process and curate large structured and unstructured datasets, write ETL scripts and SQL, integrate multiple data sources, and collaborate with cross-functional teams using agile practices and AWS analytics services.

Deliver advanced analytics and modelling solutions across the full lifecycle: problem formulation, exploratory analysis, model design, build, testing and handover. Translate business needs into analytical approaches, communicate findings to technical and non-technical stakeholders, and deliver data engineering, big-data, visualisation and operational research solutions using tools like Python, SQL, Databricks and Power BI.

Design, prototype, and deploy generative AI systems (RAG, agents) and integrate LLMs with data sources and production systems. Build cloud-native solutions, apply LLMOps and model evaluation, and collaborate cross-functionally to deliver scalable AI products.

The Technical Business Analyst works on agile projects, collaborating with stakeholders to define processes and manage requirements for strategic change.

The Data Engineer will design and deploy production data pipelines, work with AWS technologies, and integrate data from various sources while collaborating with teams and stakeholders.

The Technical Lead will manage and lead engineering teams, drive software delivery improvements, implement CI/CD, and enhance system performance while collaborating with stakeholders across various projects.

As a Solution Architect, you will lead engineering teams, shape architectural vision, support project planning, and enhance applications across various sectors using hybrid methodologies and cloud technology.

Consult on data protection and privacy laws (e.g., GDPR, CCPA), configure and integrate OneTrust, advise clients (especially Life Sciences/Financial Services), manage consent solutions, tailor privacy processes to business models, and communicate with stakeholders across business, legal, IT, and security.

The Solution Architect will lead engineering teams in delivering software applications, define architectural vision, and collaborate with multiple stakeholders using agile methodologies.

The Technical Lead will shape the software delivery lifecycle, implement CI/CD strategies, enhance system performance, and mentor engineers while collaborating with various stakeholders to solve complex challenges.

Lead AI strategy and roadmaps for clients: identify high-impact AI use cases, estimate ROI, design implementation plans, manage cross-functional teams, oversee AI integration and due diligence, advise C-suite, and support business development and mentoring.