Capital Markets Quantitative & Technology Services - Data AI and Research Technology (DART) team is hiring a hands-on AI Engineer to build, manage and deploy cutting edge AI solutions for Investment Research, Banking, Sales and Trading.

What will you do?

• Engineer advanced AI capabilities to power Research Digitization, Banking and Global Market solutions

• Evaluation and subsequent implementation of Data/Model Parallelism libraries and techniques, AI Observability & Monitoring solutions, Vector databases and inference engines

• Deploy, manage, performance tune and scale containerized applications using Kubernetes. Architect clusters leveraging fit for purpose hardware for AI workloads

• Provide subject matter expertise in distributed and parallel computing. Analyze ML and data processing workloads to identity latency contributors, inefficient compute utilization and provide remediation recommendations

• Automate AI infrastructure provisioning

• Create reports for AI infrastructure usage and cost reports

• Collaborate with multi-functional geographically distributed teams to drive cutting edge AI infrastructure and solutions

What do you need to succeed?

Must Have

• Minimum of 2 years of hands-on AI Engineering experience

• Degree in Computer Science or Engineering

• Experience building, scaling, managing and monitoring ML pipelines

• Experience with Python, Kubernetes, distributed computing

• Solid understanding of machine learning, generative AI, agents, multi-agent collaboration, MCP servers, with focus on real-world implementation

• Proficient in CI/CD principles, version control and best practices for deploying AI workloads to production.

Nice to Have

• Azure Databricks, Spark, Snowflake, NVIDIA NIM, MLFlow

• Experience building and deploying MCP Servers, AI Agents

• Experience with any vector database.

• Experience with Terraform

The good-faith expected salary range for the above position is $135K - $220K depending on factors including but not limited to the candidate’s experience, skills, registration status; market conditions; and business needs. This salary range does not include other elements of total compensation, including a discretionary bonus and benefits such as a 401(k) program with company-matching contributions; health, dental, vision, life and disability insurance; and paid time-off plan.

RBC’s compensation philosophy and principles recognize the importance of a highly qualified global workforce and plays a critical role in attracting, engaging and retaining talent that:

• Drives RBC’s high-performance culture

• Enables collective achievement of our strategic goals

• Generates sustainable shareholder returns and above market shareholder value

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Job Skills

Analytical Thinking, Artificial Intelligence (AI), Artificial Intelligence Technologies, Big Data Management, Data Mining, Data Modeling, Data Science, Deep Learning, Machine Learning, Parallel Computing, Predictive Analytics, Programming Languages

Additional Job Details

TWO EMBARCADERO CENTRE, 2 EMBARCADERO CENTER:SAN FRANCISCOSan FranciscoUnited States of America40Full timeCAPITAL MARKETSRegularSalaried2025-05-02

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.