Data and AI - AI Engineer

Job Description

Joining Wavestone's UK Data & AI Service Line offers the opportunity to help shape large‑scale AI and data transformations for FTSE
100 organisations and enterprise clients. Our team is rapidly growing as clients increasingly rely on us to design, build, and scale modern AI solutions across their organisations.

You will be part of a high‑performing consulting and engineering team delivering both advisory and hands‑on implementation across AI strategy, AI engineering, GenAI solutions, and modern AI architecture patterns.

This role is intentionally platform‑agnostic. While experience with tools such as Anthropic Claude, OpenAI models (e.g. Codex / GPT), and other frontier or open‑source LLMs is valuable, we are primarily looking for individuals who understand core AI engineering principles and can apply them across ecosystems.

This is an ideal role for someone who combines:

Deep technical and coding capability
, with the ability to communicate complex concepts clearly to non‑technical audiences

Strong understanding of AI/GenAI systems and architecture

Experience building agentic, production‑grade AI solutions

The ability to operate across the full lifecycle: from strategy to design to build to deploy and scale

As a senior member of the Data & AI practice, your key responsibilities will cover client delivery, business development, people development, and key contribution to our thought leadership. Depending on your level of experience you will be expected to:

• Business Development
  :
  Act as a trusted subject‑matter expert in AI engineering and GenAI during pre‑sales and sales activity. You will help identify opportunities, shape solution approaches, and contribute to proposals, RFP responses, and go‑to‑market initiatives. You will also develop compelling demos, prototypes, and technical narratives that demonstrate the value and feasibility of modern AI solutions, supporting the growth of Wavestone’s Data & AI footprint across key accounts.
• Thought Leadership & Proposition Ownership
  :
  Play a key role in shaping Wavestone’s AI and GenAI propositions, bringing forward innovative approaches to agentic systems, retrieval architectures, evaluation frameworks, and enterprise AI engineering. You will contribute to thought leadership through articles, insights, and event participation, and help develop reusable accelerators, toolkits, and playbooks that address common client challenges. Your work will strengthen our market presence and help position Wavestone as a leader in practical, scalable AI delivery.
• People Development
  :
  Support the growth of our Data & AI community by mentoring consultants and engineers, sharing best practice, and providing technical guidance across architecture, engineering, and delivery. You will help build internal capability through knowledge‑sharing, training, and the development of reusable methodologies and frameworks. Where appropriate, you may also contribute to line management and career development within the practice.
• Maintain Expertise
  :
  Stay at the forefront of the rapidly evolving AI/GenAI landscape, maintaining deep expertise in LLMs, agentic systems, RAG patterns, evaluation techniques, and cloud‑native AI tooling. You will continuously explore emerging technologies and engineering patterns, bringing forward new ideas that enhance client delivery and strengthen Wavestone’s internal capability.

Core Skills & Experience

• Proven experience building AI/LLM‑powered applications in production
• Deep understanding of AI/GenAI fundamentals, including model behaviour, limitations, and evaluation
• Experience designing and implementing RAG systems
• Experience designing and implementing agentic workflows / multi‑step reasoning systems
• Experience designing and implementing tool‑using AI applications
• Strong system‑design and architecture skills (APIs, data pipelines, distributed systems)
• Experience with cloud platforms (AWS, Azure, GCP)
• Ability to make technical trade‑offs (cost, latency, accuracy, scalability)
• Experience working in client‑facing or consulting environments, as well as leading teams and projects
• Strong communication and stakeholder management skills
• Experience…