Lead AI Engineer, GFT
About The Position
Global Functions Technology (GFT) is part of RBC’s Technology and Operations division. GFT’s impact is far-reaching as we collaborate with partners from across the company to deliver innovative and transformative IT solutions. Our clients represent Risk, Finance, HR, CAO, Audit, Legal, Compliance, Financial Crime, Capital Markets, Personal and Commercial Banking and Wealth Management. We also lead the development of digital tools and platforms to enhance collaboration. We’re seeking a Lead AI Engineer focused on building and scaling data-driven systems that enable advanced analytics, machine learning, agentic AI - and deliver impactful business decisions. You will play a key role in shaping our next-generation trading decisioning and risk management platform, and lead by example in applying sound architectural thinking, engineering rigor, and technical mentorship.
Requirements
- Expert knowledge of Python
- 3+ years of hands-on development experience in LLMs, prompt engineering, Agent frameworks (Langchain, Crew AI), multi-agent orchestration, memory management, context handling, vector databases (Opensearch, PGVector)
- Deep expertise in ML lifecycle and MLOps practices, including model tuning, model deployment, monitoring, and CI/CD pipelines.
- Strong grasp of modern data engineering tools and languages (e.g., Python, Java/Scala, Spark, Pyspark, Kafka, SQL, Airflow).
- Proven experience in cloud platforms like AWS or Azure, with knowledge of scalable architecture patterns.
- Excellent communication skills—able to clearly explain complex technical concepts to both technical and non-technical audiences.
- Bachelor’s degree in computer science, Engineering, or a related field; Master's or PhD preferred.
Nice To Haves
- 3-5 years of experience in building and deploying ML models using frameworks/libraries like Keras, Pytorch, Scikit-Learn etc.
- Hands-on experience with Snowflake, AWS SageMaker, AWS Bedrock, LLM deployments
- Background in enterprise-level data governance, privacy, and security practices.
Responsibilities
- Design, build, and review scalable AI/ML systems. This is a hands-on role with end-to-end ownership.
- Define and promote best practices in data and ML engineering.
- Evaluate emerging technologies and guide adoption to drive innovation.
- Work closely with other member of development teams, business leaders, and IT teams to understand needs and translate them into technical solutions.
- Ensure projects are executed with high quality, on time, and aligned with business goals.
- Proactively identify risks and enforce compliance standards, especially around data governance and security.
Benefits
- bonuses
- flexible benefits
- competitive compensation
- commissions
- 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
- Flexible work/life balance options
- Opportunities to do challenging work and take on progressively greater accountabilities
- Access to a variety of job opportunities across business and geographies
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What This Job Offers
Job Type
Full-time
Career Level
Senior
