Senior AI Engineer

Consultancy.uk; Greater London; Hybrid; GBP 70,000 - 120,000; Full time

Job summary

PA Consulting in London, United Kingdom, seeks software engineers who are passionate about AI and capable of building AI-enabled software solutions across multiple client projects. You will work with product, design and cross-disciplinary teams, applying agile practices and modern AI tooling to solve real business challenges.

You will prototype, test, and deploy models and RAG pipelines, leveraging LangChain, LlamaIndex, Hugging Face and related APIs while collaborating with cloud and DevOps

Qualifications

• Software engineers with a passion for AI.
• People who prototype and explore emerging AI tools and stay curious.

Responsibilities

• Collaborate with product, design and cross-disciplinary teams to build AI software solutions.
• Experiment with Generative AI frameworks and tools like LangChain, LlamaIndex, Hugging Face and APIs.
• Deploy AI solutions on cloud environments (AWS, GCP, Azure) and monitor performance in production.

Skills

AI Systems

RAG Pipelines

Cloud Native

APIs

DevOps

Python

Team Collaboration

Tools

LangChain

LlamaIndex

Hugging Face

TruLens

LangSmith

Job description

Firm: PA Consulting | Location: London, United Kingdom

Job Description

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 Join 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.
• Hybrid working – we expect you 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) and 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.
• 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

• 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.

Assessment Process

• 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 technical interview, whichever you didn’t do at first round (60 mins).
• Final round: Meeting with a PA leader – a mini case study and discussion around your client‑centricity (60 mins).

Equal Employment Opportunity Statement

We’re committed to advancing equality. We recruit, retain, reward and develop our people based solely on their abilities and contributions and without reference to their age, background, disability, genetic information, parental or family status, religion or belief, race, ethnicity, nationality, sex, sexual orientation, gender identity (or expression), political belief, veteran status, any other range of human difference brought about by identity and experience. We welcome applications from underrepresented groups.