AI FinOps Lead - Maximise GenAI Value & Cost Efficiency

Client Server Limited; Reigate; Hybrid; GBP 57,000 - 95,000; Full time

Benefits offered by this job

Health care

Life Assurance

Pension

Training & career development

25 days holiday

Job summary

Client Server Limited is seeking a FinOps Lead to maximise value from AI and GenAI investments while maintaining FinOps governance across cloud usage. You will optimise consumption, establish cost controls, and drive data-driven decisions with engineering, product and finance teams.

The role blends strategic leadership with hands-on cost management. The role offers a flexible hybrid model, with weekly in-office days in Reigate or Cambridge, and a focus on AI cost governance, unit economics, and

Qualifications

• Experience in AI/GenAI cost management including token-based consumption models.
• Practical FinOps or cloud financial management experience.
• Experience with token usage monitoring or metering tools.
• Familiar with performance optimization practices for AI/ML workloads.
• Knowledge of LLM/GenAI pricing structures and cloud cost tools.

Responsibilities

• Govern AI FinOps strategy, governance and value measurement.
• Analyse cloud and AI spend; improve cost allocation and accountability.
• Develop AI FinOps and token-economy frameworks with dashboards.
• Advise teams on best practices for model consumption and cost control.
• Collaborate with Engineering, Product and Finance on cost optimisation.
• Assess FinOps maturity and drive continuous improvement.
• Research Azure AI capabilities and new cost-management tools.

Skills

AI cost mgmt

Token consumption

FinOps

Token monitoring

Performance optimization

LLM pricing

Azure Cost Mgmt

Cost allocation

Forecasting

Data visualization

Stakeholder collaboration

Job description

Client Server Limited is seeking a FinOps Lead to maximise value from AI and GenAI investments while maintaining FinOps governance across cloud usage. You will optimise consumption, establish cost controls, and drive data-driven decisions with engineering, product and finance teams.

The role blends strategic leadership with hands-on cost management. The role offers a flexible hybrid model, with weekly in-office days in Reigate or Cambridge, and a focus on AI cost governance, unit economics, and