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Added 48 mins ago
DM
Sr. Manager, Strategic Planning
Discovery Mining Ltd
Toronto, ON
- Full-time
Lead the annual scenario analysis and optimization process, providing guidance to site Technical Services teams for Life-of-Mine planning and the preparation of Mineral Resources and…
Added 48 mins ago
KC
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Toronto, ON
- Full-time
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Associate Director
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Knowledge of data lifecycle and hands-on experience with application development and AI tooling.
Added 7 hours ago
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Associate Director
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Toronto, ON
- Full-time
Knowledge of data lifecycle and hands-on experience with application development and AI tooling.

Workana

AI Lead Solutions Architect

Remote, Canada

Remote

Contract

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Job details

Job type: Contract
Workplace: Remote
Posting language: English
Posted: Oct 4, 2026

Original job description

About Workana

Workana is the largest remote work platform for talent in Latin America. Our division focuses on matching exceptional professionals with leading and innovative companies around the globe.

About the Client

Our client is a premier global financial institution committed to driving innovation and technical excellence across its core banking and digital services. They are looking for an experienced AI Lead Solutions Architect to drive strategic artificial intelligence and machine learning initiatives, architect scalable solutions, and mentor engineering teams.

This is a hybrid opportunity for professionals based in Toronto, Canada, working closely with an international team in an English-speaking environment.

Role Overview

As an AI Lead / Solutions Architect, you will lead R&D efforts and technical execution for complex AI/ML applications in financial services, including document intelligence, automated decisioning systems, and multi-agent workflows. You will design end-to-end architectures from model design to scalable production deployment while driving technical innovation using modern AI techniques such as retrieval-augmented generation (RAG) and transformer models.

In addition to technical ownership and architecture design, you will mentor junior engineers, guide team members in AI/ML concepts, and lead cross-functional project execution across ML engineers, backend developers, and business stakeholders to turn technical capabilities into tangible business outcomes.

Selection Process

The process usually consists of 3 stages and takes on average 4 weeks to be completed, depending on eventual additional technical rounds or take-home tests.

Initial interview with Workana's recruiting team;
Cultural fit interview with the client;
Final interview with C-level.

As Workana has multiple clients, if you pass the first round with Workana's recruiting team, you may also be considered for other relevant opportunities if the initial opportunity does not move forward.

Responsibilities

Architect and deploy end-to-end AI/ML solutions from model design to scalable production environments using modern frameworks.
Lead R&D initiatives in AI/ML applications including document intelligence, text extraction, and automated decisioning systems.
Drive technical innovation through experimentation with RAG, multi-agent systems, and transformer architectures.
Establish, maintain, and optimize deployment and monitoring pipelines for production AI models.
Coordinate cross-functional technical delivery across ML engineers, backend developers, data teams, and business stakeholders.
Develop technical project roadmaps, solution designs, load planning, and system optimization strategies.
Provide technical leadership and mentorship to junior engineers through code reviews, best practices, and algorithm selection.
Partner with business stakeholders to translate complex AI concepts into measurable business value and ROI.

10+ years of professional software development or relevant research experience with a strong background in Python.
3+ years of hands-on experience building and deploying AI/ML solutions in production environments.
Expert proficiency in Python and solid familiarity with web technologies and frameworks (FastAPI, Django, or Flask).
Hands-on experience with modern AI/ML frameworks including PyTorch, TensorFlow, Keras, HuggingFace, and LangChain.
Proven technical expertise in NLP, modern transformer architectures, RAG, and multi-agent systems.
Solid experience with relational databases (PostgreSQL), data processing pipelines, and ETL processes.
Proven track record of architecting full-stack systems, leading complex AI projects, and mentoring engineering talent.

Bonus Points

Experience in financial services or highly regulated industries.
Hands-on experience with advanced document processing, PDF parsing, and text extraction pipelines.
Familiarity with prompt engineering and large language model (LLM) optimization strategies.
Publications or research contributions in AI/ML conferences or journals.
Available to work in the office 2 to 3 days per week.

Compensation in USD.
Career growth with international clients and dynamic projects.
This is a long-term independent contractor agreement with no additional benefits.

Apply About employer

More about this job

Responsibilities

The AI Lead Solutions Architect will design and deploy end-to-end AI/ML solutions while leading R&D initiatives for complex financial applications. They will also mentor junior engineers and coordinate cross-functional technical delivery across various teams.

Requirements

Candidates must have over 10 years of software development experience with expert proficiency in Python and modern AI/ML frameworks. A strong background in building production-grade AI systems and experience with NLP and transformer architectures is required.

Skills

Python
Artificial Intelligence
Machine Learning
Solutions Architecture
PyTorch
TensorFlow
HuggingFace
LangChain
NLP
Transformer Architectures
RAG
Multi-agent Systems
PostgreSQL
ETL
FastAPI
Django

Benefits

Career growth with international clients

Visa sponsorship

Not detected in the job text

Keywords

AI
Machine Learning
Solutions Architect
Python
Financial Services
RAG
Transformer Models
NLP
Multi-agent Systems
PyTorch
TensorFlow
Keras
LangChain
FastAPI
Django
Flask
PostgreSQL
ETL
Document Intelligence
Automated Decisioning
R&D
Software Development
Cloud Architecture
Production Deployment
Mentorship
Data Pipelines
System Optimization
Technical Leadership
API Development
Full-stack

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