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: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Perfect for those passionate about fintech and enterprise AI.
- Why this job: Join a team that values quality and speed in real-world AI applications.
- Qualifications: Experience in AI engineering, Python, SQL, and regulated environments.
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.
- Regulatory reporting automation, multi-jurisdiction tax platforms, compliance workflow tooling, and 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.
- 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, consolidate 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, unblocks everything else.
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:
- DealCloud or Salesforce integration, document intelligence (OCR, PDF extraction).
Additional requirements:
- Solid hands-on engineering background, applied AI delivery, not research.
- Production LLM API experience, shipped real agentic systems, not demos; GitOps (Flux CD or ArgoCD) is the mandatory deployment pathway.
- Snowflake SQL is required, it is the primary data layer across three of five pipeline projects.
- Regulated environment comfort is essential, 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.
- Financial services operations background, fund accounting, regulatory reporting, tax, or compliance workflows; this is an operations-side role, not a front-office or deal-team one.
- Experience in operations-side fintech or enterprise AI in regulated financial environments.
- CRM and enterprise data integrations, Salesforce, DealCloud, or similar.
- Systems where MNPI governance, data controls, and audit really matter.
Strong AI engineers with financial services operations context are the perfect fit for this one. If you enjoy building real systems in environments where quality, speed, and sound judgement all matter, we would like to hear from you.
AI Engineer (Remote) 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 remote AI Engineer role offers the unique opportunity to work closely with finance, tax, and compliance professionals, allowing for significant personal and professional growth while contributing to impactful projects in a regulated environment. With a focus on employee development and a commitment to building production-level AI systems, we provide our team with the tools and support needed to excel in their careers.
