AI/ML Engineer

* The expected base salary range for this position is $70/Hr - $80/Hr, depending on experience, skills, and internal equity.

* The Company offers a total rewards package in accordance with all applicable federal, provincial, and local laws and requirements. Benefit eligibility and offerings vary based on role, employment status, and work location.

* For contractor positions, benefits are limited to those entitlements and protections required by applicable law, which may include (as applicable) vacation pay, public holidays, leaves of absence, and other legally mandated benefits or payments.

* We may use AI-enabled and/or automated tools to support parts of our recruitment process, including application screening, interview scheduling, and candidate communications. These tools are used to enhance consistency and efficiency. All hiring decisions involve human review and are not based solely on automated processing.

Overview:

* We are seeking a skilled AI Software Engineer to join a team of AI Engineers and Data Scientists within the SIAI department.

* This role focuses on building and deploying enterprise-scale AI solutions for risk, controls, and regulatory compliance.

* The ideal candidate has strong programming expertise, experience with production-ready AI systems, and a solid foundation in data engineering.

Must-Have Qualifications:

* 2-5 years of software engineering experience using Python and at least one of the following: Java, TypeScript, or Go

* Minimum 1 year of experience delivering production-ready enterprise AI solutions

* Strong foundational knowledge of data engineering and system integration

* Ability to communicate effectively with both technical and business stakeholders

Nice-to-Have Qualifications:

* Experience working within a financial institution building enterprise solutions

* Additional expertise in:

* Programming languages beyond core requirements

* AI/ML technologies

* DevOps and cloud platforms

Key Responsibilities:

* Design, develop, and deploy enterprise-wide AI solutions for risk management, controls, and regulatory compliance

* Build and implement agentic AI systems using Python, Java, or TypeScript to automate processes in risk, audit, and cybersecurity

* Develop and support multi-agent systems, enabling autonomous agents to collaborate, manage shared state, and handle failures

* Build and maintain data pipelines and context layers using tools such as Spark, Databricks, Airflow, SQL/NoSQL, FastAPI, and GraphQL

* Apply generative AI techniques to automate workflows, including form filling based on structured and unstructured data

* Develop autonomous control testing frameworks to enhance system reliability and compliance

Team & Environment:

* Collaborative team of AI Engineers and Data Scientists

* Focus on enterprise-grade solutions within a highly regulated environment

* Opportunity to work on cutting-edge AI systems with real business impact