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 & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs 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 16,400+, and has 60 offices in 20 countries within key global markets.
Our challenge
We are seeking a seasoned, hands‑on AI Engineer / AI Scientist to lead and execute Generative AI initiatives across Quantitative and Technology Services. This role focuses on building advanced agentic AI frameworks and deploying front‑to‑back AI solutions tailored for complex Capital Markets use cases.
The ideal candidate will be a technical leader and primary contributor, capable of designing, building, and operationalizing end‑to‑end AI systems while mentoring team members and establishing best practices.
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 $110k – CAD $120k/year & benefits (see below).
The Role
Responsibilities:
Design and build agentic Generative AI frameworks for Capital Markets use cases such as:
Apply Generative AI techniques to solve real‑world problems across Quant, Research, Banking, Sales, and Trading
Embed LLM‑based solutions into existing Capital Markets platforms and tools
Act as a hands‑on technical lead, owning architecture, model development, and implementation
Guide team members through design reviews, code reviews, and AI best practices
Collaborate closely with Quant teams, product partners, engineers, and business stakeholders
Lead AI experimentation, hypothesis testing, evaluation frameworks, and iterative model improvement
Build and manage end‑to‑end AI Operations (MLOps) including deployments, monitoring, evaluation, and performance tracking
Ensure reliability, scalability, and explainability of AI systems used in regulated financial environments
Requirements:
PhD or master’s degree in computer science, Machine Learning, Deep Learning, or equivalent practical experience
7+ years of hands‑on experience building ML / Deep Learning models
In‑depth expertise in:
Strong experience with:
Proven ability to be the primary technical contributor while mentoring and guiding the team
Strong experience in front‑to‑back AI operations, including:
Excellent understanding of Algorithms and Data Structures
Knowledge of distributed computing systems
Strong problem‑solving, analytical, and communication skills
Preferred, but not required:
Prior experience in Banking or Capital Markets, particularly within Technology and Operations teams
We offer:
S YNECHRON’S DIVERSITY & INCLUSION STATEMENT
Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is com
£110,000 - £120,000
year
FULL TIME
senior
4/16/2026
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