More jobs:
AI-Native Data Platform Engineer
Job in
York and North Yorkshire, York, North Yorkshire, YO1, England, UK
Listed on 2026-09-29
Listing for:
Farther Finance, LLC
Full Time
position Listed on 2026-09-29
Job specializations:
-
Software Development
AI Engineer (Applied/Software)
Job Description & How to Apply Below
- As an AI-Native Data Platform Engineer at Farther, you will design and own the canonical data foundations powering our financial AI systems
- This role sits at the core of our platform - building the ontology, data contracts, and reconciliation frameworks that enable intelligent agents to operate safely and autonomously
- AI systems only perform as well as the structure beneath them
- You will architect custodial data pipelines, canonical financial models, and AI-ready schemas that support embeddings, retrieval systems, and agent-driven workflows in a regulated wealth management environment
- We are building autonomous agents that reason over and act on platform state - and you will define the data layer that makes that possible
- Design scalable ingestion pipelines across custodians (Schwab, Fidelity, Pershing, etc.) and internal financial systems
- Build and evolve canonical models for accounts, positions, transactions, balances, corporate actions, and household hierarchies
- Define financial data ontology and enforce strong data contracts across services
- Implement reconciliation frameworks and golden-source resolution across multi-vendor datasets
- Engineer AI-ready data layers optimized for embeddings, vector search, and RAG architectures
- Structure financial datasets to improve prompt reliability and LLM output consistency
- Architect closed-loop, agent-driven systems that monitor, reason over, and autonomously remediate data inconsistencies
- Implement observability, lineage, governance, and fine-grained access controls across regulated datasets
- Opportunity to work with a talented team of professionals.
- Drive the success of a venture-backed, rapidly growing firm
- 5+ years building production-grade data platforms
- Exposure to prompt engineering and structured context design for LLM systems
- Familiarity with embeddings, vector databases, and retrieval architectures
- Comfortable with AWS data services (S3, Lambda, ECS, Glue, Redshift, Open Search) and event-driven orchestration
- Strong understanding of custodial financial data (positions, trades, balances, performance, corporate actions)
- Deep SQL expertise and strong Python for data engineering
- Experience designing canonical schemas and resolving vendor data inconsistencies
- Knowledge of MLOps fundamentals (versioning, monitoring, reproducibility)
- Strong ownership mindset and systems-level thinking
- Wealth management or capital markets background
- Experience integrating OpenAI or Anthropic APIs into production systems
- Experience designing retrieval schemas for AI agents
- Experience with authorization and policy platforms (e.g., OSO, Auth0)
- Familiarity with Git Hub-based CI/CD workflows and automation
- Experience with data governance, lineage, and compliance controls
- Experience implementing fine-grained access control for AI-driven systems
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
Search for further Jobs Here:
×