Sr. GenAI Engineer

We are

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & Dev Ops, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our Fin Labs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more.

Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 16,850+, and has 60 offices in 20 countries within key global markets.

Client Capital Markets is seeking a highly skilled AI Engineer with deep expertise in Generative AI, neural networks, and transfer learning to support the development of an innovative, strategic data analytics platform. This role will lead the design, development, and implementation of advanced machine learning models and architectures, focusing on zero-shot, few-shot learning, and retrieval-augmented generation (RAG). The ideal candidate will be a thought leader in AI, capable of building agentic frameworks for capital markets use cases such as summarization, conversational AI, and information extraction, and embedding these tools into existing systems for key personas including Research, Banking, Sales, and Trading.

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & Dev Ops, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our Fin Labs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more.

Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 16,850+, and has 60 offices in 20 countries within key global markets.

Client Capital Markets is seeking a highly skilled AI Engineer with deep expertise in Generative AI, neural networks, and transfer learning to support the development of an innovative, strategic data analytics platform. This role will lead the design, development, and implementation of advanced machine learning models and architectures, focusing on zero-shot, few-shot learning, and retrieval-augmented generation (RAG). The ideal candidate will be a thought leader in AI, capable of building agentic frameworks for capital markets use cases such as summarization, conversational AI, and information extraction, and embedding these tools into existing systems for key personas including Research, Banking, Sales, and Trading.

Additional Information*

The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Toronto, ON is CAD $130k – CAD $145k/year & benefits (see below).

• Develop Agentic Frameworks:
  Build advanced agentic frameworks tailored for capital markets applications, including summarization, conversational AI, and information extraction.
• Embed Generative AI Tools:
  Integrate cutting-edge Generative AI frameworks into current Capital Markets tools, enhancing functionalities for research, banking, sales, and trading functions.
• Innovate with ML Models:
  Lead the design and development of innovative machine learning architectures involving…