At a Glance
- Tasks: Build impactful AI tools for finance, tax, and compliance professionals.
- Company: Global asset management firm with a focus on innovation.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Ideal for those passionate about quality and speed in fintech.
- Why this job: Join a dynamic team and create real-world solutions in a regulated environment.
- Qualifications: Experience in AI engineering, Python, SQL, and production systems.
The predicted salary is between 80000 - 98000 £ per year.
Our client, a global asset management firm, is looking to hire a Senior AI Engineer to work alongside finance, tax, and compliance professionals to build the tools they actually use, including:
- Regulatory reporting automation
- Multi-jurisdiction tax platforms
- Compliance workflow tooling
- The engineering infrastructure that underpins all of it
If you are used to building production AI systems where auditability, data controls, and sound engineering judgement matter, this is an engagement where that experience is essential.
Key responsibilities include:
- Regulatory reporting automation, Solvency II TPT generation from Snowflake fund position data, deployed on AKS with audit trail and shared access
- Multi-jurisdiction tax review platform, consolidating siloed tools (UK, Luxembourg, Singapore) into one unified platform with shared data pipeline
- Deal origination and allocation tool, workflow automation and data extraction from deal management systems, front-end for allocations team
- Citizen developer hosting pathway, AKS deployment infrastructure for nearly 300 internally-built tools
Required skills:
- Python, SQL (Snowflake), Docker, Kubernetes (AKS), GitHub Actions, Flux CD (GitOps), Helm
- Claude API, MCP server integration, agentic tool-use patterns, RAG, structured outputs
Bonus skills:
- DealCloud or Salesforce integration
- Document intelligence (OCR, PDF extraction)
We are looking for candidates with a solid hands-on engineering background, applied AI delivery (not research), and production LLM API experience. Experience in shipping real agentic systems (not demos) is required, and GitOps (Flux CD or ArgoCD) is the mandatory deployment pathway.
Snowflake SQL is required as it is the primary data layer across three of five pipeline projects. Comfort in a regulated environment is essential, as three of the five projects involve MNPI, investor data, or compliance decisions requiring audit trails and senior sign-off. You do not need to be managed on data sensitivity or access controls.
A financial services operations background in fund accounting, regulatory reporting, tax, or compliance workflows is necessary, as this is an operations-side role, not a front-office or deal-team one.
Strong AI engineers with financial services operations context are the perfect fit for this role. If you enjoy building real systems in environments where quality, speed, and sound judgement all matter, we would like to hear from you.
Remote AI Engineer employer: Conquer AI
As a leading global asset management firm, we pride ourselves on fostering a dynamic and inclusive work culture that prioritises innovation and collaboration. Our hybrid working model allows for flexibility while ensuring that our employees are engaged in meaningful projects that drive real impact in the financial services sector. With ample opportunities for professional growth and development, particularly in cutting-edge AI technologies, we are committed to supporting our team members in achieving their career aspirations.
