At a Glance
- Tasks: Design and implement AI-driven solutions while collaborating with cross-functional teams.
- Company: Join a leading bank committed to innovation and inclusivity.
- Benefits: Competitive salary, bonuses, flexible benefits, and stock options.
- Other info: World-class training programs and excellent career growth opportunities.
- Why this job: Make a meaningful impact on enterprise AI adoption in a dynamic environment.
- Qualifications: 4-6 years of software development experience and hands-on AI expertise.
The predicted salary is between 123750 - 151250 $ per year.
The Opportunity
We are seeking an accomplished Senior AI Engineer to contribute to the design, development, and implementation of AI-driven solutions within our software development lifecycle. This role offers the opportunity to work on enterprise-scale AI integration initiatives, establish best practices, and advance the technical maturity of our engineering organization. You will collaborate with cross-functional teams to drive AI adoption and innovation across the organization.
What You'll Do
- AI Engineering & Implementation
- Design and build MCP (Model Context Protocol) servers and tools for seamless AI integration
- Design and implement AI-driven automation solutions, including LLM-powered automation, prompt engineering, and conversational AI
- Develop ML model integration solutions and AI orchestration workflows with monitoring and evaluation
- Integrate UiPath with enterprise AI platforms and APIs
- Support implementation of agentic automation and advanced AI use cases
- AI/ML Expertise & Governance
- Integrate LLM APIs and apply prompt engineering techniques
- Design and maintain AI workflow orchestration systems
- Implement Intelligent Document Processing and NLP solutions
- Develop model evaluation, tuning, and governance frameworks
- Design and manage vector databases and RAG (Retrieval-Augmented Generation) systems
- Support responsible AI practices and governance model development
- AI-Driven Software Development Lifecycle (SDLC)
- Contribute to AI/ML solutions that enhance code generation, testing, deployment, and monitoring
- Integrate AI technologies into existing SDLC workflows and development tooling
- Support development and implementation of governance models for AI and responsible AI practices
- Technical Contributions & Collaboration
- Participate in technology evaluation and assessment for organizational adoption
- Collaborate with enterprise architecture, security, and compliance teams on AI initiatives
- Contribute to technical training and knowledge-sharing initiatives
- Support code reviews, design discussions, and mentoring of junior team members
What You Need To Succeed
- Must Have
- 4–6 years of experience building and operating production software systems at scale
- 1–2 years of hands‑on experience with LLMs and generative AI in production environments or serious prototyping
- Proficiency in .NET/C#, Python, SQL, Git, and CI/CD pipelines
- Strong expertise in API architecture (REST/SOAP)
- Solid working knowledge of agentic AI patterns: tool use, agent orchestration, ReAct, multi‑step reasoning, memory and context management
- Proven proficiency in LLM API integration and prompt engineering
- Cloud platform experience (AWS, Azure, or GCP), including containers (Docker/Kubernetes) and CI/CD pipelines
- Experience building or contributing to RAG systems (vector databases, embeddings, retrieval strategies)
- Demonstrated experience designing and building MCP servers and tools with familiarity of agent‑tool integration frameworks
- Strong collaboration and communication skills; comfortable with code reviews, design discussions, and pair programming
- Ability to explain technical decisions clearly to both technical peers and business stakeholders
- Understanding of security, data governance, and responsible AI practices
- Nice‑to‑Have
- Production experience with agentic automation and advanced AI solutions
- Open‑source contributions to automation or AI/ML projects
- Certification in cloud platforms (e.g., AWS Developer Associate, Azure Developer Associate)
- Experience with additional languages or frameworks (Java, Go, Rust)
What's In It For You
We thrive on the challenge to be our best, embrace progressive thinking, and work together to deliver trusted solutions that help our clients and communities prosper. We are committed to supporting each other's growth and creating mutual success.
- Comprehensive Total Rewards Program including competitive compensation, bonuses, flexible benefits, commissions, and stock options where applicable
- Development‑focused leadership committed to your growth through coaching and career opportunities
- Opportunity to make a meaningful, lasting impact on enterprise AI adoption
- Dynamic, collaborative, and high‑performing team environment
- World‑class training programs in financial services and emerging technologies
Senior AI Engineer employer: RBC
RBC is an exceptional employer that fosters a dynamic and inclusive work culture, where innovation thrives and employees are empowered to grow. As a Senior Director in Toronto, you will lead a talented team in developing cutting-edge AI solutions that transform the banking experience for millions, while enjoying comprehensive benefits, professional development opportunities, and a commitment to community impact. Join us to be part of a collaborative environment that values diverse perspectives and champions your success.
