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Added 1 month ago
T
Senior Full Stack Developer (CRM), TD Securities
TD
Toronto, ON
- Full-time
…Research & Markets businesses. We are looking for a Senior developer based in Toronto to join our team and help deliver scalable, modern solutions that support colleagues and stakeholders…
Added 1 month ago
M
Senior Full Stack Software Developer
Miovision
Remote, Canada
- $130,000 to $160,000 CAD / year
- Full-time
- Remote
The IoT & Data Master: You excel at managing complex IoT systems and large-scale datasets, bringing strong knowledge of data pipelines (Snowflake) and real-time caching solutions (Redis).
Added 6 months ago
Q
Architect - Conversational AI
Quantiphi
Canada
- Full-time
…cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world…
Added 6 months ago
B
Senior Data Engineer
BrainStation
Toronto, Ontario
- $120,000 to $145,000 USD / year
- Full-time
…knowledge of data platforms such as Azure Fabric, Databricks, and Snowflake will be essential as you collaborate closely with data analysts, scientists, and other engineers to ensure…
Added 3 months ago
M
Service Delivery and IT Ops Data Analyst
Morningstar
Toronto, Ontario
- Full-time
…Claude/Anthropic), and migrating to cloud-native data platforms (Snowflake, Microsoft Fabric). Additionally, identify metrics to measure the effectiveness of the Employee Experience…
Added 1 month ago
SS
Database Engineer
Soho Square Solutions
Montreal, QC
- Contract
Added 1 month ago
Q
Technical Program Manager
Quantiphi
Canada
- Full-time
…As an Elite/Premier Partner for Google Cloud, AWS, NVIDIA, Snowflake, and others, we’ve been recognized…
Added 3 months ago
FC
Digital Insights Manager
Fidelity Canada
Toronto, Ontario
- Full-time
Experience/ basic knowledge of Decibel, Medallia, Salesforce, Snowflake and Marketo is an asset
Added 2 months ago
C
Lead Solution Architect (Anaplan)
Ciena
Ottawa, ON
- $91,000 to $145,400 CAD / year
- Full-time
Design integrations with Snowflake, Power BI, ERP, CRM, and HR systems in partnership with Data Engineering.
Added 3 months ago
Ingénieur data / Data Engineer
mthree
Montreal, Quebec
Added 1 month ago
Staff Machine Learning Engineer
OpenTable
Toronto, ON
Pipelines: Spark, Airflow, EMR, SageMaker, Snowflake, S3, Delta Lake
Added 2 months ago
A
Oracle Data Reporting Lead
Accenture
Remote, Canada
- Full-time
- Remote
Added 2 months ago
H(
Senior Analyst, Total Fund Data Science and Modeling
HOOPP (Healthcare of Ontario Pension Plan)
Toronto, Ontario · CA ON Toronto
- $103,000 to $153,000 CAD / year
- Full-time
…transformation pipelines across data systems such as SAP HANA, Snowflake, Microsoft Fabric, and other enterprise data platforms, with sufficient production discipline to support governed…
Added 3 months ago
M
Senior Software Engineer
Morningstar
Toronto, Ontario
- Full-time
…clients through S3, SFTP, and Cloud Data Marketplaces such as Snowflake Marketplace, ensuring solutions are scalable, reliable, and meet enterprise-grade…
Added 1 month ago
RB
Senior Data Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
Experience with Snowflake, Databricks, or cloud data platforms.
Added 1 month ago
R
Director, DevOps Insights
RBC
Toronto, ON
- Full-time
…What is AI adoption costing us, what is it returning, where is developer productivity improving, and where is it stuck? You'll own the Tokenomics model that forecasts AI spend across…
Added 1 month ago
DS
Ingénieur Analytique / Analytics Engineer
Data Sciences
Montreal, QC
- Full-time
Bonne connaissance des entrepôts de données tels que Redshift, Snowflake, Bigquery ou Databricks.
Added 1 month ago
Applied Data Scientist - Contract
Arcurve Inc.
Calgary, AB
Working knowledge of Databricks and/or Snowflake, and experience operating in a Spark-backed environment.
Added 1 month ago
Intermediate Data Engineer
Arcurve Inc.
Calgary, AB
Deep experience with Databricks and/or Snowflake. Experience with BigQuery and Microsoft Fabric is also highly valued.
Added 1 month ago
A
Director-Technology Delivery-AI&Data
Accenture
Toronto, ON
- Full-time
Added 1 month ago
A
Director of AI
APPLY
Toronto, ON
- Full-time
Experience building internal AI platforms, reusable agent frameworks, or developer enablement capabilities.
Added 1 month ago
FF
Staff Applied AI Engineer
Forward Financing
Remote, Canada
- $180,000 to $240,000 CAD / year
- Full-time
- Remote
Integrate AI services into complex technology stacks, ensuring interoperability with microservices, AWS platform, and data systems (Snowflake).
Added 1 month ago
H
Architecte de données
Highspring
Montreal, QC
- Full-time
Added 3 months ago
M
Manager, Data Engineering
Moneris
Toronto, Ontario
- Full-time
This role owns execution of the data platform roadmap, including the Snowflake migration and modernization of legacy Enterprise Data Warehouse (EDW) systems, while partnering with…
Added 1 month ago
Staff Software Engineer, Fullstack
Fivetran
Toronto, ON
Solid understanding of relational databases (experience with data warehousing solutions (e.g., Snowflake) is a bonus)

Quantiphi

Technical Program Manager

Canada

Full-time

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Job details

Job type: Full-time
Posting language: English
Posted: Sep 2, 2026

Original job description

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.

If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

About Quantiphi

Quantiphi has seen 2.5x growth YoY since its inception in 2013, we don’t just innovate - we lead. Headquartered in Boston, with 4,000+ Quantiphi professionals across the globe. As an Elite/Premier Partner for Google Cloud, AWS, NVIDIA, Snowflake, and others, we’ve been recognized with:

17x Google Cloud Partner of the Year awards in the last 8 years.
3x AWS AI/ML award wins.
3x NVIDIA Partner of the Year titles.
2x Snowflake Partner of the Year awards.
We have also garnered top analyst recognitions from Gartner, ISG, and Everest Group.
We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators.
We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023.

Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here!

For more details, visit: Website or LinkedIn Page.

Roles And Responsibilities

Define and drive the Gen AI COE roadmap, ensuring alignment with business objectives.
Develop and execute project plans for AI infrastructure setup, fine-tuning open-source LLMs, Q&A bot UI, and natural language querying.
Establish and track KPIs, SLAs, and success metrics for AI-driven solutions.
Ensure on-time delivery, scope adherence, and risk mitigation in AI projects.
Lead cross-functional teams (ML engineers, software engineers, DevOps, data scientists) for effective AI execution.
Act as a trusted advisor to enterprise clients, ensuring continuous value delivery and adoption of Gen AI solutions.
Identify opportunities for expansion and additional AI services.
Manage stakeholder relationships and set clear expectations for AI project outcomes.
Facilitate Agile ceremonies and collaborate with engineering, MLOps, and product teams for seamless AI development.
Coordinate infrastructure provisioning, model deployment, and performance optimization with DevOps.
Maintain and refine technical documentation, backlogs, and sprint reports.
Oversee AI model deployment on cloud platforms (AWS, GCP, Azure) ensuring scalability, security, and cost optimization.
Guide teams on AI pipeline automation, CI/CD for ML models, and ML governance best practices.
Ensure regulatory compliance and data privacy adherence in AI-driven HCLS solutions.

Required Skills

Bachelor’s/Master’s degree in Computer Science, AI/ML, Data Science, or related technical field.
10+ years in technical program management, AI/ML product delivery, or cloud-based AI solutions.
Deep understanding of AI/ML infrastructure (training & inference).
Proficiency in cloud AI platforms (AWS SageMaker or GCP Vertex AI or Azure ML).
Knowledge of natural language processing (NLP), prompt engineering, RAG, and Gen AI architectures.
Proven ability to lead large-scale AI/ML projects with cross-functional teams.
Strong stakeholder management and ability to translate AI concepts into business impact.
Expertise in Agile methodologies, Jira, and backlog management.
Experience managing budgets, contracts, and vendor relationships in AI/ML projects.
Excellent problem-solving, communication, and leadership skills.
Ability to manage uncertainty in AI research & development.
Strong analytical mindset with a customer-first approach.

Preferred Skills

Prior experience in building AI COEs or AI strategy teams.
Scrum Master certification or PMP certification.
Experience with LLM fine-tuning (SFT, LoRA, QLoRA) and Gen AI use cases.
Strong grasp of MLOps best practices, AI observability, and model deployment strategies.

What Is In It For You

Be part of a team and company that has won NVIDIA's AI Services Partner of the Year three times in a row with an unparalleled track record of building production AI applications on DGX and Cloud GPUs.
Strong peer learning which will accelerate your learning curve across Applied AI, GPU Computing and other softer aspects such as technical communication.
Exposure to working with highly experienced AI leaders at Fortune 500 companies and innovative market disruptors looking to transform their business with Generative AI.
Access to state-of-the-art GPU infrastructure on the cloud and on-premise.
Be part of the fastest-growing AI-first digital transformation and engineering company in the world.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Apply About employer

More about this job

Responsibilities

Define and drive the Generative AI COE roadmap while leading cross-functional teams to deliver AI infrastructure and solutions. Act as a trusted advisor to enterprise clients to ensure the adoption and scalability of Gen AI services.

Requirements

Requires a degree in Computer Science or AI/ML and over 10 years of experience in technical program management or cloud-based AI delivery. Proficiency in cloud platforms like AWS SageMaker or GCP Vertex AI and expertise in Agile methodologies are essential.

Skills

Technical Program Management
Generative AI
LLM Fine-Tuning
Cloud AI Platforms
MLOps
Agile Methodologies
Stakeholder Management
NLP
RAG
Prompt Engineering
Jira
AI Infrastructure
CI/CD for ML
Budget Management
Risk Mitigation
KPI Tracking

Benefits

Peer Learning
Access To State-Of-The-Art Gpu Infrastructure

Visa sponsorship

Not detected in the job text

Keywords

Generative AI
Agentic AI
LLM
SFT
LoRA
QLoRA
AWS SageMaker
GCP Vertex AI
Azure ML
RAG
NLP
MLOps
CI/CD
Agile
Jira
PMP
Scrum Master
GPU Computing
DGX
Cloud GPUs
HCLS
AI Governance
Data Privacy
Infrastructure Provisioning
Model Deployment
Technical Documentation
Stakeholder Management
AI COE
Digital Transformation
IT Consulting

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