AI Engineer

RBC • New York, NY

13d • $135,000 - $225,000

About The Position

What is the opportunity? Capital Markets Data AI and Research Technology (DART) team is looking to hire a seasoned “hands on” AI Scientist to lead our AI efforts in Quant and Tech Services. The role will be responsible for applying Generative AI techniques to build solutions for Capital markets use cases. What will you do? Build end to end AI & ML solutions Build agents (RAG and Otherwise) leveraging enterprise data which help capital markets Research, Banking, Sales and Trading Manage AI Ops and pipelines for Generative AI needs Expected to code 90% of the time What do you need to succeed? 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 Flexible work/life balance options Opportunities to do challenging work Opportunities to take on progressively greater accountabilities Access to a variety of job opportunities across business and geographies The 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 RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail. Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance. Our success comes from the 84,000+ employees who bring our vision, values and strategy to life so we can help our clients thrive and communities prosper. As Canada’s biggest bank, and one of the largest in the world based on market capitalization, we have a diversified business model with a focus on innovation and providing exceptional experiences to more than 16 million clients in Canada, the U.S. and 34 other countries. Learn more at rbc.com.‎ We are proud to support a broad range of community initiatives through donations, community investments and employee volunteer activities. See how at rbc.com/community-social-impact.

Requirements

• Masters degree in computer science, Machine Learning, Deep Learning or equivalent experience.
• 3+ years of experience building Deep Learning or Machine Learning models; in depth knowledge of Machine Learning, deep learning and Generative AI.
• In depth knowledge of Machine Learning, NLP, Information extraction etc.
• Knowledge of Embeddings, Re-rankers, agentic frameworks etc; knowledge of Inferencing, fine-tuning, model architectures etc.
• In depth knowledge and experience building front to back AI Operations; in depth knowledge of Algorithms and Data Structures; knowledge of distributed computing

Nice To Haves

• Experience implementing GenAI systems into production
• Experience with model evals and model monitoring

Responsibilities

• Build end to end AI & ML solutions
• Build agents (RAG and Otherwise) leveraging enterprise data which help capital markets Research, Banking, Sales and Trading
• Manage AI Ops and pipelines for Generative AI needs
• Expected to code 90% of the time

Benefits

• 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
• Flexible work/life balance options
• Opportunities to do challenging work
• Opportunities to take on progressively greater accountabilities
• Access to a variety of job opportunities across business and geographies

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees