Find work in Canada.

621,957 jobs across our Canadian network. How we count

Jobs in Canada

Email me new jobs Save this search

Added 2 months ago
Research Intern, PhD, Summer 2027
Google
Montreal, QC
…Algorithmic Foundations of Optimization, Quantum Information Science, Data Science, Software Developing, or similar…
Added 2 months ago
CS
Distributed Software Engineer
Cerebras Systems
Remote, Canada
- Full-time
- Remote
The Cluster engineering team owns the software that turns thousands of wafers, servers, and switches into a cloud that stays up, stays busy, and stays debuggable. We stand clusters up from…
Added 2 months ago
GS
Platform Support Database Administrator III
Guidewire Software
Mississauga, ON · Toronto, ON
- Full-time
…excellence and transformative innovation in AI, cloud, and data to ensure every customer solution is reliable, performant, and compliant. You’ll join a collaborative, globally distributed…
Added 2 months ago
M
Senior Software Engineer
Microsoft
Vancouver, BC
- Full-time
Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java,…
Added 2 months ago
ZT
Software Engineer, Professional Senior (Android + NFC/RFID +AI )
Zebra Technologies
Mississauga, ON
- Full-time
The Engineering Customer Response Team (ECRT) is seeking a Senior Software Engineer to provide world-class technical support to global enterprise customers for the Android Operating System,…
Added 2 months ago
P
Senior Full Stack Engineer
Procurify
Remote, Canada
- $122,000 to $152,000 CAD / year
- Full-time
- Remote
We're looking for a pragmatic and thoughtful engineering leader to help scale our platform, development practices, and team.
Added 2 months ago
AG
Senior Software Engineer, Performance / Ingénieur(e) Logiciel(le) Senior, Performance
Aduna Global
Montreal, QC
- Full-time
…senior backend engineer to own performance as a production engineering discipline: profiling live systems, shipping fixes to production, and keeping a multi-CSP platform fast and…
Added 2 months ago
AG
Senior AI Developer / Développeur(se) IA senior
Aduna Global
Montreal, QC
- Full-time
We are building the AI & Data team. You join as one of its first engineers and you report to the Head of Engineering. This is a hands-on role. You design, build and run AI systems in…
Added 2 months ago
AG
Senior Software Developer / Développeur(se) Logiciel Sénior
Aduna Global
Montreal, QC
- Full-time
As a Senior Software Developer on the Traffic Plane team, you will be a key technical contributor for the systems connecting Aduna to CSP Service Exposure APIs, aggregating and exposing…
Added 2 months ago
K
Model Risk Management Specialist
Kraken
Remote, Canada
- Full-time
- Remote
Reviewing model pre & post development documentation, data quality, accuracy, access and testing methodologies.
Added 2 months ago
V
Software Developer III, Developer Platform
Verily
Waterloo, ON
- Full-time
BA/BS degree in Computer Science, Electrical Engineering, or a related field; or equivalent practical experience in software engineering with 3+ years experience developing and maintaining…
Added 2 months ago
M
AI Engineer, Innovation
MNP
AB
- Full-time
Proficiency in Python and solid software engineering fundamentals
Added 2 months ago
A
Summer 2027 Long Term ASIC Verification Engineering Intern/ Co-Op
AMD
Ottawa, ON · Kanata, ON
- $67,000 CAD / year
- Full-time
…property (IP) for the next generation communication networks and data centers. You’ll work with a highly motivated team of engineers developing advanced verification environments for…
Added 2 months ago
PI
Staff Data Engineer
PENN Interactive
Canada
- Full-time
As a Staff Data Engineer, you'll partner closely with Data Services, Analytics Engineering, Product, and Business stakeholders to design and deliver scalable, reliable, and high-quality…
Added 2 months ago
O
Senior AI Developer (AI-Powered Applications)
OpenText
Waterloo, ON
- Full-time
We are seeking a highly skilled and motivated Senior Software Developer to help build cutting-edge AI-powered applications and agentic experiences. In this role, you will work as a key…
Added 2 months ago
R
Full Stack Developer, AI
RBC
Toronto, ON
- Full-time
Build and support data engineering pipelines integrating cloud platforms (Snowflake, OpenShift, AWS) with automation, databases, and workflow orchestration tools (Airflow, Ansible, Stone…
Added 2 months ago
R
Senior Data Engineer
RBC
Vancouver, BC
- Full-time
Total Experience 5+ years’ , with atleast 2-3 years experience with Spark (Scala/Python) , Big Data ,Databricks, Airflow ,DBT
Added 2 months ago
MM
Oliver Wyman - Senior Lead AI Developer
Marsh McLennan
Toronto, ON · Montreal, QC
- Full-time
…unprecedented products across industries. As a Senior Lead AI Developer, you are primarily responsible for managing technical projects and helping teams design and build AI/ML systems and…
Added 2 months ago
V
Senior Software Developer, Developer Platform
Verily
Waterloo, ON
- Full-time
BA/BS degree in Computer Science, Electrical Engineering, or a related field; or equivalent practical experience in software engineering with 5+ years experience developing and maintaining…
Added 2 months ago
V
Senior Software Developer - Workflows
Verily
Toronto, ON
- Full-time
Verily Health is a data platform and technology company purpose-built to power AI-enabled precision health solutions that accelerate research and improve care for individuals and…
Added 7 months ago
BT
Software Engineer I
Beanfield Technologies Inc.
Toronto, ON
- $90,000 to $110,000 CAD / year
- Full-time
…designing, developing, and enhancing backend systems, APIs, and data processing tools using Python, Java and modern web frameworks. The Software Engineer will collaborate with product…
Added 2 months ago
C
Gen AI Engineering and Scaled AI Transformation
Citi
Mississauga, ON
- Full-time
Brings strong hands‑on software engineering credibility, setting standards for Python‑based GenAI services.
Added 2 months ago
C
Generative AI Engineer -Vice President
Citi
Mississauga, ON
- Full-time
We're searching for a highly skilled and experienced senior engineer and Python expert to lead the design and development of the various AI-related technologies as part of the Services Tech…
Added 2 months ago
B
Senior Business System Analyst
BMO
Toronto, ON · SCC
- Full-time
Data and AI Technology (DAT) Engineering supports BMO's Digital-First, risk, regulatory and compliance requirements by providing enterprise-scale solutions using data, analytics, and…
Added 2 months ago
Senior Software Engineer
BuildOps
Toronto, ON
…high-impact workflows for our customers. You’ll partner closely with Engineering, Product, and Design to solve complex problems, improve reliability and usability, and deliver software that…

Citi

Gen AI Engineering and Scaled AI Transformation

Mississauga, ON, Canada

$145,100.00 - $217,700.00 · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: $145,100.00 - $217,700.00
Job type: Full-time
Posting language: English
Posted: Aug 31, 2026

Original job description

Role Focus: Generative AI Engineering and Scaled AI Transformation for Source to Pay technology group - Hybrid

1. Large Language Model (LLM) Strategy & Technical Authority

Acts as a senior technical authority on Large Language Models, including both commercial and open‑source ecosystems (OpenAI, Gemini, Claude, Llama).
Leads model selection and deployment strategy, balancing use‑case fit, data sensitivity, cost efficiency, latency, accuracy, and regulatory constraints.
Guides decisions on hosted vs. private vs. fine‑tuned models, ensuring optimal trade‑offs between performance, control, and operational risk.
Establishes enterprise standards for LLM lifecycle management, including upgrades, regression validation, and decommissioning.

2. Hands‑On GenAI Application & Agentic System Design

Demonstrates hands‑on leadership in building GenAI applications using LangChain, LangGraph, LlamaIndex, and Hugging Face, translating experimentation into production systems.
Architects agentic and multi‑step workflows, enabling tool‑use, reasoning chains, state management, and orchestration at enterprise scale.
Sets reusable reference patterns and accelerators for GenAI adoption across application teams.
Ensures solutions are built with enterprise-grade reliability, explainability, and extensibility.

3. Retrieval Augmented Generation (RAG) & Enterprise Knowledge Enablement

Designs and delivers robust RAG architectures that ground GenAI outputs in trusted, auditable enterprise data.
Leads implementation of vector databases and embedding strategies (pgvector, Pinecone, Weaviate, FAISS), aligned with data access and security models.
Applies advanced retrieval techniques including hybrid search, re‑ranking, metadata filtering, and context optimization to improve response accuracy and relevance.
Ensures RAG solutions support data lineage, auditability, and regulatory compliance.

4. Prompt Engineering, Workflow Optimization & Cost Control

Establishes prompt engineering and orchestration standards to ensure consistency, maintainability, and quality across GenAI solutions.
Optimizes GenAI workflows by actively managing latency, throughput, token cost, and accuracy trade‑offs in production environments.
Implements evaluation and experimentation frameworks to continuously improve output quality and business value.
Drives disciplined use of caching, batching, fallback models, and token optimization techniques.

5. Machine Learning & Model Enablement Foundations

Applies strong grounding in ML/DL fundamentals, enabling informed architectural decisions and credible engagement with data science teams.
Leverages PyTorch and TensorFlow for embeddings, training pipelines, and targeted fine‑tuning where business value is clear.
Ensures GenAI capabilities integrate seamlessly into the broader ML, data, and MLOps ecosystem.
Balances rapid GenAI delivery with long‑term model sustainability and governance.

6. Production Deployment, Scalability & Operational Excellence

Leads deployment of GenAI systems into secure, scalable production environments using Docker, cloud‑native architectures, and hardened APIs.
Establishes observability and monitoring for GenAI applications, covering performance, drift, quality, reliability, and failure modes.
Ensures GenAI platforms meet enterprise availability, resilience, and disaster recovery expectations.
Drives operational readiness, incident management, and ongoing optimization of AI services.

7. Software Engineering Leadership

Brings strong hands‑on software engineering credibility, setting standards for Python‑based GenAI services.
Leads development of high‑performance AI‑powered APIs using FastAPI and async programming patterns.
Champions clean architecture, testability, and security best practices across AI engineering teams.
Acts as a bridge between traditional application engineering and AI‑native development.

8. AI Safety, Evaluation & Responsible AI Governance

Leads the implementation of AI evaluation and governance frameworks, including hallucination detection, confidence scoring, and human‑in‑the‑loop validation.
Designs and enforces guardrails, moderation layers, and usage controls to prevent misuse or unintended outcomes.
Partners with Risk, Compliance, Legal, and Security teams to embed Responsible AI principles into all GenAI solutions.
Ensures GenAI adoption withstands audit, regulatory, and reputational scrutiny.

9. Leadership, Influence & Execution

Operates as a hands‑on SVP, combining strategic influence with deep technical execution.
Leads senior engineers and GenAI specialists, building sustainable internal AI capability rather than point solutions.
Communicates complex GenAI concepts clearly to executive and non‑technical stakeholders.
Drives delivery in agile, fast‑moving environments, with a strong bias for outcomes and measurable value.

Recommended Qualifications:

10+ years of progressive experience in software engineering, ML, or AI platforms, with 5+ years leading senior engineers and architects.
3+ years of hands‑on experience deploying LLM‑based systems in production environments at enterprise scale.
Demonstrated authority across commercial and open‑source LLM ecosystems (e.g., OpenAI, Anthropic, Google, Llama), including model selection, fine‑tuning, and hosting strategies.
Proven ability to define enterprise-wide GenAI standards, reference architectures, and reusable accelerators.
Demonstrated leadership in establishing prompt engineering standards and orchestration patterns.
Experience optimizing latency, throughput, accuracy, and token cost across large‑scale GenAI workloads.

Education:

Bachelor’s degree/University degree or equivalent experience
Master’s degree preferred

------------------------------------------------------

Job Family Group:

Technology

------------------------------------------------------

Job Family:

Applications Development

------------------------------------------------------

Time Type:

Full time

------------------------------------------------------

Primary Location Full Time Salary Range:

$145,100.00 - $217,700.00

------------------------------------------------------

Most Relevant Skills

Please see the requirements listed above.

------------------------------------------------------

Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

------------------------------------------------------

Automated Processing and AI

We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.

Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.

------------------------------------------------------

This job opening is for an existing job vacancy.

------------------------------------------------------

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.

View Citi’s EEO Policy Statement and the Know Your Rights poster.

Apply About employer

More about this job

Responsibilities

The role involves leading the strategy, design, and deployment of enterprise-grade Generative AI applications and agentic systems. It also requires establishing governance frameworks, optimizing model performance, and ensuring scalable production integration within the Source to Pay technology group.

Requirements

Candidates must have over 10 years of experience in software engineering or AI platforms, with at least 5 years in a leadership capacity. Proven expertise in deploying LLM-based systems at scale and deep knowledge of both commercial and open-source AI ecosystems are essential.

Skills

Generative AI
Large Language Models
Python
LangChain
Retrieval Augmented Generation
Vector Databases
Machine Learning
Software Engineering
Cloud-native Architectures
API Development
Prompt Engineering
Model Governance
PyTorch
TensorFlow
Docker
FastAPI

Visa sponsorship

Not detected in the job text

Keywords

Generative AI
LLM
LangChain
LangGraph
LlamaIndex
Hugging Face
RAG
Vector Databases
Pgvector
Pinecone
Weaviate
FAISS
Python
PyTorch
TensorFlow
Docker
FastAPI
MLOps
Prompt Engineering
AI Governance
Software Engineering
Cloud-native
Source to Pay
Machine Learning
Deep Learning
API
Scalability
Observability
Agile
Responsible AI

Report this job