Associate Director, AI Engineer- EN
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Key skills for this role
About the Role
RBC Capital Markets is seeking an Associate Director, AI Engineer to lead Generative AI initiatives for Sales teams. You will design and build agentic frameworks, develop conversational AI systems, and embed GenAI tools into sales platforms.
Key Skills for This Role
Responsibilities
- Design and build agentic frameworks that solve critical sales use cases including client intelligence gathering, pitch content generation, deal summarization, and real time conversation analysis
- Develop conversational AI systems that assist sales professionals in client interactions and synthesize client intelligence across multiple data sources
- Embed Generative AI tools into Sales platforms, enabling seamless workflows for prospect research, proposal generation, and deal tracking
- Architect end to end AI solutions covering experimentation, model evaluation, and production monitoring to ensure sales tools perform reliably at scale
- Guide the team on best practices, conduct code reviews, and mentor team members on Generative AI implementation
Requirements
- PhD or Master's degree in Computer Science, Machine Learning, Deep Learning, or equivalent hands on experience
- Five or more years building Deep Learning or Machine Learning models in production environments
- Advanced proficiency in Python and hands on experience with Generative AI frameworks and architectures
- Deep knowledge of retrieval augmented generation (RAG), agentic frameworks, context and memory management, and tool/skills integration patterns
- Strong understanding of large language model architectures, inference, fine tuning, and model deployment
- Experience with Anthropic models and Claude, including code generation capabilities
- In depth knowledge of embeddings, re rankers, and vector databases
- Expertise in ML experimentation, model evaluation, and monitoring in production
Full Job Posting
What is the opportunity?
- RBC Capital Markets is seeking an Associate Director, AI Engineer with deep expertise in Generative AI, neural networks, and transfer learning to support Sales teams.
- The Capital Markets Data AI and Research Technology (DART) team is looking for a hands on AI Engineer to drive Generative AI initiatives that empower our Sales organization.
What will you do?
- Design and build agentic frameworks that solve critical sales use cases including client intelligence gathering, pitch content generation, deal summarization, and real time conversation analysis.
- Develop conversational AI systems that assist sales professionals in client interactions and help synthesize client intelligence across multiple data sources.
- Embed Generative AI tools into Sales platforms, enabling seamless workflows for prospect research, proposal generation, and deal tracking.
- Architect end to end AI solutions covering experimentation, model evaluation, and production monitoring.
- Guide the team on best practices, conduct code reviews, and mentor team members on Generative AI implementation.
What do you need to succeed? Must have
- A PhD or Master's degree in Computer Science, Machine Learning, Deep Learning, or equivalent hands on experience.
- Five or more years building Deep Learning or Machine Learning models in production environments.
- Advanced proficiency in Python and hands on experience with Generative AI frameworks and architectures.
- Deep knowledge of retrieval augmented generation (RAG), agentic frameworks, context and memory management, and tool/skills integration patterns.
- Strong understanding of large language model architectures, inference, fine tuning, and model deployment.
- Experience with Anthropic models and Claude, including code generation capabilities.
- In depth knowledge of embeddings, re rankers, and vector databases.
- Expertise in ML experimentation, model evaluation, and monitoring in production.
- Strong foundation in algorithms, data structures, and distributed computing.
- Understanding of sales workflows, client intelligence use cases, or familiarity with how sales teams operate.
- Embrace of AI first approach: actively incorporates AI tools and technologies into daily workflows.
What's in it for you?
- A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, and stock where applicable.
- Leaders who support your development through coaching and meaningful opportunities for growth.
- The ability to make a lasting impact on how our Sales teams compete and win business at scale.
- Work in a dynamic, collaborative, and high performing team.
- A world class training program in financial services and AI best practices.
- Flexible work/life balance options and progressive career opportunities across RBC.
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