RBC Senior GenAI - AI & Automation Developer

Position: (RBC) Senior GenAI - AI & Intelligent Automation Developer (93656)
This job is with Capco, an inclusive employer and a member of my Gwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

Senior GenAI Developer (AI & Intelligent Automation) – Toronto - Hybrid

Capco – The Future. Now.

Capco is a distinctly and positively different place to work. Much more than consultants, we are active participants in the global financial services industry. Our passionate business and technology professionals enjoy a unique environment where they are actively encouraged to apply intellect, innovation, experience and teamwork. We ware dedicated to fully supporting our world class clients as they respond to challenges and opportunities in:
Banking & Payments, Capital Markets, Insurance, Wealth & Asset Management and Energy. Experience Capco for yourself at

Let’s Talk About You

You want to Own Your Career. You’re serious about rising as far and as fast as your work and achievements can take you. And you’re ready to write the next chapter of your career story: a challenging and rewarding role.

Let’s Get Down to Business

Capco is looking for talented, innovative and creative people to join our incredible and growing Team focused on our financial services clients. We are looking for experienced talent exceptional domain expertise who can work directly with our clients on mission-critical projects.

About the Role

Responsibilities

Design, build, and deploy secure, scalable AI solutions leveraging OpenAI models. This role will focus on developing production-grade AI capabilities—including generative AI, natural language processing (NLP), and decision intelligence—while ensuring compliance with banking regulatory, security, and risk standards.

The ideal candidate has strong hands-on experience with OpenAI APIs, enterprise software development, and delivering AI solutions in highly regulated financial environments.

Key Responsibilities:

AI Solution Design & Development

Design, develop, test, and deploy AI-powered applications using OpenAI models

Build GenAI solutions such as:

Conversational assistants and copilots

Document ingestion, summarization, and classification

Knowledge retrieval and question-answering solutions (RAG patterns)

Workflow and decision augmentation tools

Develop and optimize prompts, embeddings, fine-tuning strategies, and evaluation approaches

Expose AI capabilities via secure APIs and services for enterprise consumption

Enterprise Engineering & Integration:

Integrate OpenAI-powered capabilities into existing banking platforms and workflows

Work with structured and unstructured data sources, ensuring data quality and lineage

Implement scalable, maintainable application architectures aligned with bank technology standards

Support CI/CD pipelines, code reviews, and secure SDLC practices

Risk, Security & Governance:

Ensure AI solutions comply with:

Data privacy and confidentiality requirements

Model risk management, explainability, and audit expectations

Regulatory obligations (e.g., data residency, GDPR, internal risk policies)

Implement AI guardrails including content moderation, prompt controls, and output validation

Partner with risk, legal, compliance, and cyber teams across the solution lifecycle

Collaboration & Delivery:

Collaborate with product owners, business stakeholders, architects, and data teams

Translate business problems into AI-enabled solutions with measurable outcomes

Participate in Agile ceremonies and cross-functional delivery teams

Contribute to reusable AI components, patterns, and internal best practices

Production Support & Continuous Improvement:

Monitor AI solutions for quality, performance, drift, and risk

Support incident resolution and root-cause analysis

Stay current on OpenAI model capabilities, limitations, and responsible AI practices

Required Qualifications:

Technical

Skills:

Strong hands-on experience with:

OpenAI APIs (GPT models, embeddings, function calling, assistants)

RESTful APIs and application development (Python, Java, or C#)

Solid understanding of:

Generative AI and LLM concepts

Prompt engineering, evaluation, and testing

Retrieval-Augmented Generation (RAG) architectures

Experience integrating AI into…