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 & 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 16,850+, and has 60 offices in 20 countries within key global markets.

Our challenge

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 $120K - CAD $130K/year & benefits (see below).

The Role

Responsibilities:

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 zero-shot/few-shot learning, retrieval-augmented generation (RAG), embeddings, and neural networks.

Collaborate & Guide: Function as a primary contributor on AI solutions while guiding team members on best practices, code reviews, and deployment strategies.

Experiment & Evaluate: Oversee end-to-end AI operations including experimentation, model evaluation, fine-tuning, deployment, and ongoing monitoring.

Research & Stay Updated: Keep abreast of advancements in deep learning, NLP, and AI methodologies to continuously improve the platform and solutions.

Requirements:

PhD or Master’s degree in Computer Science, Machine Learning, Deep Learning, or equivalent experience.

5+ years of hands-on experience building deep learning or machine learning models.

In-depth knowledge of machine learning, deep learning, and Generative AI techniques.

Proven ability to lead the development of Generative AI solutions, demonstrating expertise in design, implementation, and guiding team best practices.

Strong expertise in Natural Language Processing (NLP), information extraction, and related techniques.

Knowledge and understanding of embeddings, re-rankers, agentic frameworks, and related architectures.

Familiarity with inferencing, model fine-tuning, and various neural network architectures.

Experience with end-to-end AI operations including experimentation, evaluation, deployment, and ongoing model monitoring.

Strong knowledge of algorithms, data structures, and distributed computing environments.

Preferred skills:

* Experience working on capital markets or financial industry applications.

* Familiarity with cloud platforms (AWS, Azure, GCP) and distributed computing frameworks.

* Knowledge of AI lifecycle tools, MLOps practices, and automation pipelines.

* Understanding of data governance, compliance, and security considerations related to AI in finance.

We offer:

* A multinational organization with 60 offices in 20 countries and the possibility to work abroad.

* 15 days (3 weeks) of paid annual leave plus an additional 10 days of personal leave (floating days and sick days).

* A comprehensive insurance plan including medical, dental, vision, life insurance, and long-term disability.

* Flexible hybrid policy.

* RRSP with employer’s contribution up to 4%.

* A higher education certification policy.

* On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses.

* Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups.

* Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms.

* A truly diverse, fun-loving and global work culture.

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 committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.