Job Description
AI Engineer Four Eyes Financial is a Canadian Regulatory Technology (RegTech) company based in Saint John, New Brunswick. We are at the forefront of change in how wealth management firms approach their data and compliance functions. Our proprietary Intelligent Compliance Platform streamlines interactions between Advisors, Clients, and Head Office.
We are expanding our data team to support the development of an AI-Powered Compliance Suite designed to transform financial supervision. This role is integral to building the foundational data architecture for our next-generation Generative AI and Agentic AI systems.
Candidate must be located in New Brunswick.
Focus Areas Scalable Data Solutions: Database infrastructure is structured and operating efficiently. - Architect, build, and maintain a scalable Data Lakehouse using AWS S3, Apache Iceberg, and AWS Glue.
- Develop and operate robust, continuous ETL pipelines to ingest high-volume data from various sources, including Aurora databases using AWS Database Migration Service (DMS).
- Collaborate with the AI team to prepare, structure, and contextualize data for training and fine-tuning Large Language Models (LLMs) and specialized AI agents.
- Contribute to the implementation and maintenance of the MLOps environment, ensuring proper version control for datasets and models.
- Utilize Amazon Neptune to model and manage the complex permissions graph required for secure data access.
- Experience with large data sets and Enterprise-grade databases (Relational, NoSQL and Node Graph Databases).
- Experience with many data types: JSON, XML, CSV, etc.
ETL :
Build, operate, and support our ETL pipelines & data systems. - Deep understanding of how to build and maintain event driven ETL processes with complex interdependencies.
- Understanding of how to implement ETL processes using a combination of serverless and container-based infrastructure.
- Experience architecting and building data pipelines.
- Experience extracting data from multiple sources (APIs, SFTP, Web Scraping, etc.).
Leadership & Mentorship :
Effective cross-functional collaboration. - Participate in sprint planning, peer code reviews, and architectural discussions.
- Contribute to a fast-paced team solving complex business challenges with AI, ensuring alignment with product and project goals.
- Document model development and decision-making processes clearly.
- Support team members in learning best practices in AI development.
- Contribute to a culture of learning and innovation within the team.
Qualifications - A graduate of Computer Science, Engineering or equivalent knowledge/experience; with a minimum of 5 years of experience.
- Strong programming skills in Python and advanced proficiency in SQL (Postgres experience is an asset).
- Proven experience building and operating ETL pipelines using cloud-based tools such as AWS Glue, AWS DMS, Apache Airflow, or similar technologies.
- Solid experience within the AWS data ecosystem (e.g., S3, Glue, Lambda).
- An intuitive grasp of data modeling, data warehousing, and Data Lakehouse concepts.
- Familiarity with Python libraries for data manipulation such as Pandas, NumPy, or Dask.
- Experience with Amazon SageMaker, Amazon Bedrock, Amazon OpenSearch, or graph databases like Amazon Neptune.
- Experience with Python coding frameworks such as Flask or FastAPI.
- Bonus: Experience in fintech or regulatory/compliance-driven environments.
We have a diverse team of bright and high-performing people and we are in growth mode. You’d fit in well if you thrive in a fast-paced environment, have a thirst for learning, enjoy improving systems and processes, and focus on excellence in everything you do.
Benefits Include - Group health & dental benefits
- RRSP matching program
- Competitive salary & vacation days
- Hybrid work options
- And more!
Are you ready to accelerate your career? If you have a pioneering spirit, a passion for results, seek meaningful work and want to make an impact on a changing industry, come join us!
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