My client is a leading global investment management organisation seeking a Senior Applied AI Engineer to join its growing Technology function in London.
This is an exciting opportunity to join a newly established AI Engineering function, focused on developing innovative, enterprise-grade AI applications and embedding Generative AI capabilities across the business.
Working at the intersection of Software Engineering, Artificial Intelligence and Investment Management, you will play a key role in designing, developing and deploying bespoke AI solutions, including agentic workflows, intelligent automation and applications that connect LLMs with enterprise data and internal systems. This is a hands-on Software Engineering position, offering significant technical ownership and the opportunity to influence how AI applications are developed and deployed across the organisation.
The Senior Applied AI Engineer is expected to:
- Design, develop and deploy production-grade Generative AI applications using Python and modern Software Engineering practices.
- Build agentic AI workflows, RAG solutions and LLM-powered applications to support business and investment processes.
- Develop integrations connecting AI applications with enterprise data, internal platforms and third-party APIs.
- Contribute to the development of internal AI platforms and bespoke applications, reducing reliance on third-party software.
- Build scalable, reliable and secure AI solutions incorporating evaluation, monitoring, observability and appropriate guardrails.
- Take ownership of applications throughout the full Software Development Lifecycle, from initial design through to production deployment.
- Collaborate with engineering teams, data specialists and business stakeholders to identify and deliver valuable AI use cases.
- Help establish engineering standards, development practices and reusable components within the growing AI function.
The successful Senior Applied AI Engineer will possess:
- Strong background in Software Engineering, with demonstrable experience designing, developing and maintaining production applications.
- Hands-on Python development experience, ideally including backend application development and API frameworks such as FastAPI.
- Practical experience developing Generative AI applications using LLMs, RAG architectures and/or agentic AI frameworks.
- Experience with AI orchestration frameworks such as LangChain, LangGraph or similar technologies.
- Strong understanding of APIs, system integrations, data connectivity and distributed application architectures.
- Experience with cloud platforms such as Azure, AWS or GCP, alongside CI/CD, Docker and modern DevOps practices.
- Understanding of AI application evaluation, observability, security and production reliability.
- Strong problem-solving skills and the ability to engage effectively with both technical and business stakeholders.
- Experience with MCP, vector databases, Snowflake or Microsoft Fabric would be advantageous.
- Financial Services or Investment Management experience.
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Senior Applied AI Engineer employer: Morson Edge (Financial Services)
Morson Edge offers a dynamic and supportive work environment in the heart of London, where innovation meets security in cloud operations. Employees benefit from a culture that prioritises professional growth, with opportunities to enhance skills in Azure administration and security practices. The company's commitment to a collaborative atmosphere ensures that every team member's contributions are valued, making it an excellent choice for those seeking meaningful and rewarding employment.
Contact Details:
Morson Edge (Financial Services) Recruitment Team
