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Added 29 mins ago
CO
Manager, Digital Solutions
City of Saint John
Saint John, NB
- Full-time
The Manager, Digital Solutions, is responsible for the delivery and ongoing management of the City’s enterprise applications, digital solutions, and data and information management…
Added 29 mins ago
VI
Chief Information Officer
Vector Institute
Toronto, ON
- Full-time
In collaboration with the Chief Data Officer and AI Engineering team, lead the development and continuous evolution of Vector's internal AI strategy, encompassing systems deployment,…
Added 29 mins ago
W
Global Process Owner - Materials Management
Worley
Calgary, AB
- Full-time
The GPO is responsible for ensuring that materials are accurately defined, procured, tracked, delivered, received, allocated, and installed in a manner that supports safe, predictable, and…
Added 44 mins ago
Senior Data Engineer
Capgemini
Calgary, AB
…Jupyter Notebooks, Colab or DataBricks (preferred) Hands-on data pipeline development, ingest patterns in Azure Orchestration tools, ADF or Airflow SQL Denormalized Data modeling for big…
Added 44 mins ago
DT
AI Architect
Derex Technologies Inc
Toronto, ON
- Full-time
Ability to define and implement AI governance frameworks, including Responsible AI guidelines, compliance controls, model guardrails, safety protocols, and risk-mitigation practices.
Added 1 hour ago
KM
Customer Success Manager (Burnaby)
Konica Minolta Business Solutions (Canada) Ltd.
Burnaby, BC
- Full-time
The role is responsible for developing customer relationships that promote retention and loyalty. The role works closely with customers to ensure they are satisfied with the services they…
Added 1 hour ago
C
Director, FX Payments & Banking Strategic Projects
Corpay
Toronto, ON
- Full-time
Lead data-driven initiatives to optimize end-to-end banking and payment operations, improve FX transaction processes, enhance customer experience, and increase operational efficiency…
Added 1 hour ago
CT
Manager, Analytics Engineering
Canadian Tire Corporation
Toronto, ON
- Full-time
Lead, coach, and develop data engineers and technical leads, building capability in responsible AI-assisted engineering and driving adoption of reusable frameworks, accountability,…
Added 1 hour ago
KG
Manager - Health and Safety Risk and Assurance
Kinross Gold Corporation
Toronto, ON
- Full-time
Mining responsibly is a priority for Kinross, and we foster a culture that makes responsible mining and operational success inseparable. Our values-based approach ensures that…
Added 1 hour ago
I
Lead SAP TMS Consultant
Infosys
Calgary, AB
- Full-time
Develop and implement complex integration workflows to connect the ERP system with external applications, while leading large-scale data migration strategies to ensure data integrity
Added 1 hour ago
NS
AWS Snowflake Solutions Architect
N2P Systems
Toronto, ON
- Full-time
Establish platform-wide standards for data governance, security, metadata, lineage, observability, and responsible AI.
Added 2 hours ago
WS
Manager IT Service Management (ITSM)
Workplace Safety and Insurance Board (WSIB)
London, ON
- Full-time
In this role, you will lead a team responsible for key ITSM practices, including Service Desk, Major/Incident Management, Service Request Fulfilment, Service Catalogue, Problem Management,…
Added 2 hours ago
O
Manager, Corporate Reporting and Financial Services
OPTrust
Toronto, ON
- Full-time
…Financials and leads practical improvements in process design, data quality, automation, and responsible use of artificial intelligence. Working across teams, the role strengthens reporting…
Added 2 hours ago
C
Lead Data Scientist / VP
Citi
Mississauga, ON
- Full-time
The Lead Data Scientist will work hands-on across the AI and analytics development lifecycle. The role will design analytical approaches, develop and validate models, build Generative AI…
Added 2 hours ago
C
Lead Data Scientist / VP
Citi
Mississauga, ON
- Full-time
The Lead Data Scientist will work hands-on across the AI and analytics development lifecycle. The role will design analytical approaches, develop and validate models, build Generative AI…
Added 2 hours ago
C
Lead Data Scientist / VP
Citi
Mississauga, ON
- Full-time
The Lead Data Scientist will work hands-on across the AI and analytics development lifecycle. The role will design analytical approaches, develop and validate models, build Generative AI…
Added 2 hours ago
P
Manager, Data Integration
Prophix
Remote, Canada
- Full-time
- Remote
As the Manager, Data Integration, you lead the team responsible for connecting customer source systems to Prophix's software. You own the integration function within Professional Services…
Added 2 hours ago
P
Data & Analytics Leader – BFSI
PeoplePilot
Toronto, ON
- Full-time
- Define target-state strategies across cloud data platforms, data products, analytics, AI/ML, GenAI, governance, and responsible AI.
Added 2 hours ago
H
Consulting Professional Services Sales Director
Highspring
Montreal, QC
- Full-time
Lead forecasting, pipeline governance, revenue performance tracking, and sales accountability.
Added 2 hours ago
P
Manager, Data Integration
Prophix
Toronto, ON · Etobicoke, ON
- Full-time
As the Manager, Data Integration, you lead the team responsible for connecting customer source systems to Prophix's software. You own the integration function within Professional Services…
Added 3 hours ago
Assistant Branch Manager
Money Mart
Toronto, ON
…our teams look beyond the credit score to provide accessible, responsible financial solutions with respect, transparency, and care. Whether customers visit us online, in branch, or through…
Added 3 hours ago
M
Director, Global Technology & Operations Strategy & Transformation
Manulife
Toronto, ON
- Full-time
The Director will lead the AI program across GTO, bringing together strategy, business case development, funding, program governance, technical delivery, adoption, and value realization.…
Added 3 hours ago
ZT
Senior Manager Technical Program Management
Zebra Technologies
Mississauga, ON · CAN - Mississauga, Canada
- Full-time
You’ll have opportunities to learn and lead in a forward-thinking environment, defining your path to a fulfilling career while channeling your skills toward causes you care about - locally…
Added 3 hours ago
AS
Technical Lead - AI Delivery
Ardent SoftSol Inc.
Brampton, ON
- Contract
This job posting is for an existing, active vacancy and we are looking to hire Technical Lead - AI Delivery in Brampton, ON (Onsite), who has experience as lead the design, development,…
Added 3 hours ago
S
Pricing Specialist
Sandvik
Sudbury, ON · Lively
- Full-time
Currently, we have an opening for a Pricing Specialist. At Sandvik, the Pricing Specialist is responsible for leading Parts & Services pricing strategy, customer pricing programs, Fixed…

UniSysTech Consulting

AI Developer

Toronto, ON, Canada
Greater Toronto and Hamilton Area, ON, Canada

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Applications open in a new tab.

Job details

Apply by: Nov 28, 2026
Experience: Advanced AI / ML Expertise: 5+ years of hands-on experience building, training, fine-tuning, and deploying machine learning models and AI applications into production.
Posting language: English
Posted: Oct 29, 2026

Original job description

Position Overview

We are seeking an experienced AI Developer (Mid to Senior Level) to lead the design, development, and deployment of enterprise-grade Artificial Intelligence and Machine Learning solutions. In this role, you will focus on building intelligent back-end systems, automated workflows, and scalable AI capabilities.

While experience with cloud automation in AWS is highly valuable, deep AI/ML expertise is the primary priority for this role. We are looking for an engineer who excels at utilizing modern AI frameworks, LLMs, and intelligent automation to solve complex back-end problems.

Key Responsibilities

AI & Machine Learning Engineering: Lead the design and implementation of production-ready AI/ML capabilities, including Generative AI models, Retrieval-Augmented Generation (RAG) architectures, and predictive solutions.
Intelligent Automations: Build automated back-end pipelines and processes that leverage AI to optimize operational workflows, data processing, and enterprise tooling.
AWS Integration & Cloud Infrastructure: Work closely with AWS services (e.g., SageMaker, Bedrock, Lambda, EventBridge) to host, automate, and scale AI-driven backend services.
Back-End API & Service Development: Architect robust, secure, and performant back-end APIs, microservices, and asynchronous event-driven systems.
MLOps & Pipeline Automation: Implement automated CI/CD workflows for model deployment, monitoring, model drift tracking, and continuous integration/delivery.
Technical Leadership & Architecture: Partner with enterprise architects, data engineers, and security teams to ensure AI systems align with governance, compliance, and enterprise risk standards.

Qualifications & Key Requirements

Must-Have Skills (Top Priority)

Advanced AI / ML Expertise: 5+ years of hands-on experience building, training, fine-tuning, and deploying machine learning models and AI applications into production.
Generative AI & Modern AI Frameworks: Proficiency with LLM orchestration (e.g., LangChain, LlamaIndex), RAG pipeline design, vector databases, and prompt engineering.
Back-End Mastery: Strong proficiency in Python (FastAPI, Flask, or async Python frameworks) and software design patterns focused entirely on backend services, APIs, and data processing.
Automation Engineering: Demonstrated experience automating complex backend tasks, data pipelines, and system workflows using AI-driven approaches.

AWS & Cloud Skills (Secondary Focus)

AWS Cloud Services: Practical experience with core AWS backend and AI infrastructure, such as AWS Bedrock, SageMaker, Lambda, API Gateway, S3, ECS, and EventBridge.
Infrastructure as Code & DevOps: Exposure to CloudFormation or Terraform, alongside standard Git-based CI/CD pipelines.

Nice-to-Have Skills

Background in large enterprise or regulated industries (e.g., Financial Services, Telecommunications).
Knowledge of Responsible AI principles, model governance, and data security standards.
Familiarity with containerization (Docker, Kubernetes/EKS).
Typescript, React, Angular and Java

Work Environment

Hybrid Model: Requirement to work 2 days per week in-office at our Downtown Toronto office, with up to 3 days remote flexibility.

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More about this job

Responsibilities

Design, develop, and deploy production-ready AI and machine learning solutions, including generative AI, RAG architectures, predictive models, and AI-driven backend automation. Build secure and scalable APIs and event-driven services, integrate AWS infrastructure, automate MLOps and CI/CD pipelines, and collaborate with enterprise teams on governance and compliance.

Requirements

Requires 5+ years of hands-on experience building, training, fine-tuning, and deploying AI/ML models and applications, with expertise in LLM orchestration, RAG, vector databases, and prompt engineering. Strong Python backend development and automation experience are essential; practical AWS experience is also sought, with infrastructure as code and CI/CD exposure, and enterprise or regulated-industry experience considered an advantage.

Skills

Artificial Intelligence
Machine Learning
Generative AI
Large Language Models
Retrieval-Augmented Generation
LangChain
LlamaIndex
Vector Databases
Prompt Engineering
Python
FastAPI
Backend API Development
Automation Engineering
AWS
MLOps
CI/CD

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
Generative AI
Large Language Models
Retrieval-Augmented Generation
LangChain
LlamaIndex
Vector Databases
Prompt Engineering
Python
FastAPI
Flask
AWS Bedrock
Amazon SageMaker
AWS Lambda
Amazon API Gateway
Amazon S3
Amazon ECS
Amazon EventBridge
MLOps
CI/CD
CloudFormation
Terraform
Git
Docker
Kubernetes
EKS
TypeScript
React
Angular

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