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Job Location drjobs

Toronto - Canada

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Job Summary

Job Description

What is the opportunity

As an AI Engineer at RBC you will help build the next generation of autonomous and semi-autonomous AI platform and solutions for Risk & Security. Youll work alongside experienced engineers to design develop and deploy production-grade AI and ML systems gaining exposure to large language models machine learning data engineering and modern cloud technologies. With access to advanced AI tools and a collaborative environment youll contribute to projects that drive automation increase operational efficiency and support regulatory compliance.

What will you do

  • Design build and deliver robust AI/ML models and automation solutions in Python or TypeScript to automate key risk audit and security workflows.
  • Build AI solutions using LLMs and RAG systems (OpenAI Cohere Claude Llama) vector search (pgvector Milvus Pinecone) and advanced context engineering pipelines (LangChain Semantic Kernel) to ensure AI actions are context-aware secure and aligned with real-time enterprise data.
  • Own the deployment monitoring and optimization of classical ML models (e.g. XGBoost Isolation Forest) for anomaly detection data quality or trend analysis.
  • Engineer and maintain scalable data pipelines and workflows using Spark Databricks or Airflow and deliver and maintain APIs (REST GraphQL FastAPI gRPC).
  • Integrate AI services with enterprise platforms (e.g. Archer GRC ServiceNow IRM) and modern infrastructure (AWS Azure or on-prem).
  • Build test and document SDK plug-ins and reusable modules for risk regulatory and security AI automation.
  • Apply and advocated for best practices in secure coding and MLOps CI/CD automation (Docker Kubernetes GitHub Actions Jenkins) and observability (Prometheus Grafana) Contribute to code reviews collaborate with data scientists and engineers front and backend engineers and ML engineers and maintain clear technical documentation.

What do you need to succeed

Must Have

  • Bachelors degree (or equivalent experience) in Computer Science Software Engineering or a related field. 24 years of software engineering experience with Python and/or TypeScript; familiarity with Java or Go is an asset.

  • Hands-on experience deploying ML/AI solutions (LLMs RAG classical ML) into Production including model fine-tuning and vector database use (pgvector Milvus Pinecone) and MLOps using PyTorch TensorFlow or HuggingFace.

  • Strong Experience building data pipelines and APIs with Spark Databricks Airflow SQL (Snowflake Postgres) and NoSQL (MongoDB); experience with REST GraphQL or FastAPI. Strong experience with modern MLOps/DevOps: Docker Kubernetes CI/CD pipelines (Github Actions Jenkins Argo CD) and Cloud/On-prem platforms (AWS Azure on-prem GPU etc..)

  • Ability to independently deliver complex features and prototypes within aggressive timelines and contribute to team best practices.

Nice to Have

  • Experience working with LLMs RAG frameworks (LangChain Semantic Kernel) or vector databases (pgvector Milvus Pinecone) LLM fine-turning (LoRA PEFT) prompt-engineering and large-scale model deployment (HuggingFace DeepSpeed ONNX).
  • Familiarity with cloud environments (AWS Azure or GCP) and integrating APIs or enterprise systems (e.g. Archer GRC ServiceNow IRM). Understanding of MLOps concepts (Kubernetes Argo CD) monitoring tools (Prometheus Grafana) or secure coding practices (SAST/DAST).

  • Awareness of IT risk security or regulatory frameworks (NIST ISO SOX/ITGC).

Whats in it for you

We thrive on the challenge to be our best progressive thinking to keep growing and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other reaching our potential making a difference to our communities and achieving success that is mutual.

  • A comprehensive Total Rewards Program including bonuses and flexible benefits competitive compensation commissions and stock where applicable

  • Leaders who support your development through coaching and managing opportunities

  • Ability to make a difference and lasting impact

  • Work in a dynamic collaborative progressive and high-performing team

  • A world-class training program in financial services

  • Opportunities to do challenging work

  • Opportunities to take on progressively greater accountabilities

  • Opportunities to building close relationships with clients

  • Access to a variety of job opportunities across business and geographies.

#LI-Post

#LI-PK

#TECHPJ

Job Skills

AI Systems Application Engineering Artificial Intelligence (AI) Big Data Analytics Client Counseling Critical Thinking Data Engineering Data Pipelines Decision Making Engineering Development Generative AI Industry Knowledge Information Retrieval Large Language Model (LLM) Fine-Tuning Machine Learning Model Building Prompt Engineering Software Development Software Engineering Software Product Design

Additional Job Details

Address:

16 YORK ST:TORONTO

City:

TORONTO

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

TECHNOLOGY AND OPERATIONS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

Application Deadline:

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Inclusion and Equal Opportunity Employment

At RBC we believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best effectively collaborate drive innovation and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect belonging and opportunity for all.

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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at .

Employment Type

Full-Time

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