Data and AI - AI Engineer

Joining Wavestone’s UK Data & AI Service Line offers the opportunity to help shape large-scale AI and data transformations for FTSE100 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: 

• Lead & Deliver Engagements :Take a central role in delivering AI-driven transformation engagements, overseeing the full lifecycle from strategy and architecture through to hands‑on build and production deployment. You will design and implement end to end AI solutions

Core Skills & Experience 

• Strong hands-on programming skills (Python, TypeScript/JavaScript)  

• 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  

• Agentic workflows / multi-step reasoning systems  

• Tool-using AI applications  

• Strong system design and architecture skills (APIs, data pipelines, distributed systems)  

• Experience with cloud platforms (AWS, Azure, GCP)  

• Solid grounding in software engineering best practices (testing, CI/CD, version control)  

• 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  

Desirable Experience 

• Experience across multiple AI platforms (e.g., Claude, GPT, open-source models)  

• Familiarity with orchestration frameworks (LangChain, LlamaIndex, etc.)  

• Experience optimising AI systems for performance, cost, and reliability  

• Knowledge of enterprise architecture and regulated environments  

• Experience with AI agents, copilots, or automation systems  

• Exposure to AI governance, safety, and responsible AI practices  

• Contributions to thought leadership, open-source, or internal capability building 

Our commitment: Wavestone values and Positive Way 

• Elevate client satisfaction by impacting high-growth business across US, UK, and Europe. Shape culture, enhance value propositions, and foster business development. 

• Nurture employee growth with Wavestone horizon career path, competitive compensation, transparent salary policy, tailored training, and internal mobility. 

• Embrace a collective mindset within a barrier-free, collaborative team. Engage in vibrant people culture through regular events, meetings, and committees. 

• Experience ethical responsibility with flexible work options, strong CSR commitment, and a culture promoting work-life balance and time-off. 

Benefits 

• Competitive salary and bonus scheme. 

• Income protection insurance, 5% company pension, private health and dental cover, life insurance, company share scheme. 

• Additional flexible benefits you can select from such as additional holidays, additional pension contributions, subsidized gym, subscriptions to wellbeing apps, Netflix, retail vouchers.

• 25 days annual leave.  

Travel and Location 

• Employees are not required to work in a Wavestone office on a full-time basis but are required to commute to the office /client site, whenever necessary. Wavestone UK office is in the heart of the city of London.  

• Note: Mandatory 2-3 days per week in Wavestone office / client site during probation. 

Diversity and Inclusion 

At Wavestone, we celebrate diversity and inclusion. We have a strong global CSR agenda and an active Diversity & Inclusion committee with Gender Equality, LGBTQ+, Disability Inclusion, Social Mobility and Anti-Racism networks. 

If you need flexibility, assistance, or an adjustment to our recruitment process due to a disability or impairment, please reach out to us to discuss this.