2 days ago
London, United KingdomStaff+
Responsibilities
- Lead AI-driven transformation engagements across strategy, architecture, hands-on build, production deployment, and scaling.
- Design and implement enterprise AI solutions, including agentic systems, automation workflows, RAG pipelines, and model-orchestration layers.
- Develop high-quality code in Python and TypeScript/JavaScript and integrate solutions into enterprise ecosystems.
- Advise clients on technical decisions and maintain accountability for delivery quality, timelines, risks, and engagement success.
- Support pre-sales through opportunity identification, solution shaping, proposals, RFP responses, demos, prototypes, and technical narratives.
- Shape AI and GenAI propositions, reusable accelerators, toolkits, playbooks, evaluation frameworks, and retrieval architectures.
- Contribute to thought leadership through articles, insights, events, and market-facing initiatives.
- Mentor consultants and engineers, share best practices, provide technical guidance, and support training and capability development.
- Maintain expertise in LLMs, agentic systems, RAG, evaluation techniques, and cloud-native AI tooling.
Requirements
- Strong hands-on programming skills in Python and TypeScript/JavaScript.
- Proven experience building AI- or LLM-powered applications in production.
- Deep understanding of AI/GenAI fundamentals, including model behavior, limitations, and evaluation.
- Experience designing and implementing RAG systems, agentic or multi-step reasoning workflows, and tool-using AI applications.
- Strong system design and architecture skills covering APIs, data pipelines, and distributed systems.
- Experience with AWS, Azure, or GCP cloud platforms.
- Solid grounding in software engineering practices, including testing, CI/CD, and version control.
- Ability to make technical trade-offs involving cost, latency, accuracy, and scalability.
- Experience in client-facing or consulting environments and in leading teams and projects.
- Strong communication and stakeholder management skills.
- Experience across multiple AI platforms, such as Claude, GPT, or open-source models, is desirable.
- Familiarity with orchestration frameworks such as LangChain and LlamaIndex is desirable.
- Experience optimizing AI systems for performance, cost, and reliability is desirable.
- Knowledge of enterprise architecture, regulated environments, AI governance, safety, and responsible AI practices is desirable.
- Experience with AI agents, copilots, automation systems, thought leadership, open-source contributions, or internal capability building is desirable.
Benefits
- Competitive salary and bonus scheme.
- Income protection insurance, 5% company pension, private health and dental cover, life insurance, and company share scheme.
- Flexible benefits including additional holidays, additional pension contributions, subsidized gym access, wellbeing app subscriptions, Netflix, and retail vouchers.
- 25 days of annual leave.
- Flexible work options, with no full-time office requirement, but commuting to the office or client site when necessary.
- Mandatory 2–3 days per week in the Wavestone office or client site during probation.
- Training, internal mobility, employee events, committees, and a work-life balance-focused culture.
Categories
About Wavestone
Wavestone is a global consulting firm that delivers strategy, operations, and digital/IT advisory, including data and AI platforms, for large enterprises and public-sector organizations. Its business model is fee-based consulting and end-to-end transformation projects across sectors such as financial services, energy, and government. The company is headquartered in Paris La Défense and is publicly listed on Euronext Paris, with offices across Europe and North America.