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About the Role

Design, build, and operationalize advanced AI, Machine Learning, and Generative AI systems at enterprise scale. Bridge the gap between AI prototypes and embedding data and AI solutions in business. Scale AI solutions responsibly and reliably, ensuring they move from lab to live while creating business value and impact.

Responsibilities

• Design and deliver end-to-end AI/ML systems, from data preparation and model development to model deployment, feature stores, model management and monitoring.
• Deliver solutions using the latest GenAI and Agentic Frameworks, such as ADK, Langgraph, Microsoft Agent Framework, Llamaindex.
• Translate AI use case requirements into data and AI architectures using suitable cloud services across hyperscalars.
• Lead multi-disciplinary teams to execute complex requirements.
• Architect and implement Generative AI solutions, including RAG pipelines, agentic workflows, and orchestration of large language models across Azure, GCP, or AWS.
• Embed safety, evaluation, and assurance mechanisms across the AI lifecycle, ensuring solutions are ethical, explainable, and responsible.
• Collaborate with Product Managers, Data Scientists and Business stakeholders to ensure AI solutions drive business value and impact.
• Build client-ready demos/POVs, support proposals and technical deep-dives, and showcase delivery patterns.
• Build reusable assets and frameworks that accelerate delivery across accounts and support capability development.
• Contribute to thought leadership, blog posts, or internal accelerator development in emerging AI engineering topics.

Requirements

• Experience working in a major Consulting firm or industry with a Consulting mindset.
• Proven ability to be successful in a matrixed organisation and enlist support from peers.
• Experience working with client sponsors, both technical and non-technical, to collaboratively design requirements and build solutions.
• Experience designing and implementing MLOps strategy and framework.
• Proven track record in designing and delivering AI/ML solutions at scale, from concept to production.
• Deep understanding of Generative AI and Agentic AI — RAG pipelines, embeddings, evaluation harnesses, and orchestration frameworks.
• Experience designing cloud-native data and AI architectures across Azure, GCP, AWS and/or Databricks.
• Ability to demonstrate the potential that scaling AI unlocks business value and impact.
• Resided in the UK for the last 5 years.

Skills

• Deploying and scaling AI solutions using Azure (Foundry, AI Studio, OpenAI, AKS), GCP (Vertex AI, Cloud Run), or AWS (Bedrock, SageMaker).
• Building and automating AI/ML pipelines using MLflow, Kubeflow, Azure ML, Vertex Pipelines, Airflow or Google ADK.
• Generative and Agentic AI frameworks such as LangChain, LlamaIndex, CrewAI, Autogen, Google ADK, or similar.
• Designing and implementing RAG pipelines, agentic workflows, MCP and integration with LLM APIs (OpenAI, Anthropic, Hugging Face OR similar).
• CI/CD and containerisation: GitHub Actions, Azure DevOps, Docker, Kubernetes.
• Evaluating AI system performance, including prompt evaluation, A/B testing, and quality assessment frameworks.
• Modern data patterns: lakehouse architectures, vector databases, and relational/NoSQL stores.
• API gateways, event streaming and general integration patterns.

Location

• UK

Work Type

• Hybrid
• Flexible working arrangements

Experience Level

• Lead

Benefits

• Flexible benefits options
• Variable element dependent on grade and company/personal performance
• Wellbeing support including Mental Health Champions, Thrive and Peppy apps

About the Company

• A fantastic team of bright, ambitious people who love bringing the latest tech to real clients in production to make a meaningful difference.
• Work across both the public and private sectors, with tangible impact.
• Innovate, deploy, and see work come to life in the real world.
• A group of true tech enthusiasts who push boundaries, experiment freely, and explore what comes next.
• Looking for people with the curiosity, drive, and self-starting spirit of real innovators.
• Received the “Glassdoor Best Places to work UK’ accolade for 2 consecutive years.
• Actively build environments where employees can bring their whole selves to work.
• Aim to build an environment where employees can enjoy a positive work-life balance.
• Focused on using tech to have a positive social impact, reducing carbon footprint and improving digital access.
• Named one of the world’s most ethical companies by the Ethisphere Institute for the 10th year.
• Join a team that does the right thing.

Equal Opportunity

• We don’t just believe in Diversity & Inclusion, we actively go out to making it a working reality. Driven by our core values and Active Inclusion Campaign, we build environments where you can bring you whole self to work.