Associate Director, Data & AI Engineer
TWO EMBARCADERO CENTRE, 2 EMBARCADERO CENTER:SAN FRANCISCO, United States
Full Time Mid-level / Intermediate USD 135K - 225K
Job Summary
Job Description
What is the opportunity?
Capital Markets Quantitative & Technology Services - Data AI and Research Technology (DART) team is looking to hire a Data & AI Engineer to build, manage and deploy cutting edge Data and AI solutions for Investment Research, Banking, Sales and Trading.
What will you do?
Build data products using structured and unstructured data from traditional and alternative sources to deliver actionable signals and insights for Investment Research, Banking and Global Markets.
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.
Contribute to automation efforts via CI/CD pipelines, infrastructure-as-code, and reusable frameworks
What do you need to succeed?
Must Have
Python, SQL, PySpark, MLflow
Degree in Computer Science or Engineering
In depth knowledge of Algorithms and Data Structures and distributed computing.
Experience building end to end Data & ML pipelines covering data ingestion, transformation, feature engineering, model development and tuning, evaluation, deployment and inference.
Nice to Have
Experience with Azure Databricks, Spark, Snowflake, Kubernetes
Exposure to Generative AI stack (LLMs, Agents, MCP Servers)
What's 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.
Excellent exposure to communicate with various business partners and stakeholders in Investor Services and within other platforms as appropriate
Working with an exciting, close-knit, supportive & dynamic group
Opportunity to collaborate with other business segments within the bank
Excellent career development and progression opportunities
A comprehensive Total Rewards Program including bonuses and flexible benefits
Competitive compensation
The Good-Faith Expected Salary Range For The Above Position Is $135,000 - $225,000 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
#LI-POST
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 LanguagesAdditional Job Details
Address:
TWO EMBARCADERO CENTRE, 2 EMBARCADERO CENTER:SAN FRANCISCOCity:
San FranciscoCountry:
United States of AmericaWork hours/week:
40Employment Type:
Full timePlatform:
CAPITAL MARKETSJob Type:
RegularPay Type:
SalariedPosted Date:
2025-07-02Application Deadline:
2025-07-26Note: 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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Tags: Azure Banking Big Data CI/CD Computer Science Dart Databricks Data management Data Mining Deep Learning Engineering Feature engineering Generative AI Kubernetes LLMs Machine Learning MLFlow ML models Pipelines PySpark Python Research Snowflake Spark SQL Unstructured data
Perks/benefits: Career development Competitive pay Flex hours Flex vacation Health care Insurance Salary bonus Signing bonus Startup environment Team events
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