Overview
Lead AI Engineer to architect and deploy AI solutions at scale within a global finance technology consultancy. You will lead client projects, productionise multi-modal LLMs and agentic systems, and embed AI within enterprise environments. You’ll drive scalable MLOps, observability, and cloud-native deployments, partnering with cross-functional teams to deliver impact in financial services. This role offers technical leadership, hands-on development, and opportunities to shape cutting-edge AI in a regulated domain. Join us to transform how banks and fintechs leverage AI.
Pay / Benefits
- Pension
- Life Assurance
- Income Protection
- Private medical care for you and your family
- Travel Insurance
- Charitable giving | Gym membership for you and your family?placeholder? but keep as listed?
Responsibilities
- Architect AI solutions and embed them in enterprise environments
- Lead client projects and productionise AI systems
- Develop scalable pipelines for multi-modal LLMs and agentic systems
- Collaborate with cross-functional teams to deliver impactful AI in financial services
- Build and deploy generative AI solutions in production
- Drive observability and cloud-native MLOps practices
Key requirements
- Bachelor in Computer Science, AI or related STEM disciplines
- Hands-on experience deploying LLMs and multi-modal models at scale in production
- Strong Python coding and API development skills
- Strong collaboration, stakeholder communication, problem-solving, and Agile project management
- Experience with agentic frameworks and/or bias mitigation techniques (advantageous)
- collaborative
- pragmatic
- strong communication
- LLMs
- multi-modal models
- MLOps
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