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Added 1 day ago
VI
Chief Information Officer
Vector Institute
Toronto, ON
- Full-time
…in Toronto as Vector continues its work to further establish Canada as a centre of expertise for AI in the world. The Chief Information Officer is expected to oversee AI compute and…
Added 5 days ago
Senior Engineering Manager - Analytics Platform
Faire
Kitchener, ON · Toronto, ON
We’re hiring a Senior Engineering Manager to lead Faire’s Analytics Platform team. You will manage data warehousing, ETL pipelines, medallion data sets, BI tooling, and agentic analytics…
Added 8 days ago
PC
Cloud Architecture & Engineering, Director
Pwc Canada
Ottawa, ON · Toronto, ON
- Full-time
Provide technical guidance on compute, storage, networking, security, identity, data services, and DevOps tooling.
Added 9 days ago
TS
AVP, AI & Innovation
TD Securities
Toronto, ON
- Full-time
…business problems and works across business, quantitative, data, engineering, and control teams to deliver measurable…
Added 9 days ago
T
AVP, AI & Innovation
TD
Toronto, ON
- Full-time
…business problems and works across business, quantitative, data, engineering, and control teams to deliver measurable…
Added 10 days ago
Lead Data Engineer
Gore Mutual Insurance
Toronto, ON · Cambridge, ON
…responsible for designing, developing and maintaining scalable data infrastructure on the Databricks lakehouse, the enterprise single source of truth. It plays a pivotal role in enabling…
Added 10 days ago
PC
Cloud Architecture & Engineering, Director
PwC Canada
Toronto, ON
- Full-time
Provide technical guidance on compute, storage, networking, security, identity, data services, and DevOps tooling.
Added 10 days ago
PC
Cloud Architecture & Engineering, Director
PwC Canada
Ottawa, ON
- Full-time
Provide technical guidance on compute, storage, networking, security, identity, data services, and DevOps tooling.
Added 10 days ago
T
Machine Learning Researcher
TekRek
Toronto, ON
- Full-time
The team combines researchers and engineers from established tech companies and research labs, and the company has the data, compute, and funding to train its own foundation models.
Added 11 days ago
ZC
Machine Learning Engineer
Zurich Canada
Toronto, ON
- Full-time
You will work within a modern cloud data and AI ecosystem and collaborate with Data Engineering, Data Science, Architecture, Governance, Security and business teams to turn data and AI…
Added 11 days ago
ZC
Machine Learning Engineer
Zurich Canada
Waterloo, ON
- Full-time
You will work within a modern cloud data and AI ecosystem and collaborate with Data Engineering, Data Science, Architecture, Governance, Security and business teams to turn data and AI…
Added 11 days ago
A
Forward Deployed Technical Consultant-Databricks: AI&Data Advanced Technology Centers
Accenture
Mississauga, ON · Montreal, QC
- Full-time
You’ll work closely with analytics, data science, and cloud teams to ensure reliable, high-performance data delivery for the clients we serve.
Added 11 days ago
A
Forward Deployed Technical Consultant-Snowflake: AI&Data Advanced Technology Centers
Accenture
Mississauga, ON · Montreal, QC
- Full-time
You’ll work closely with analytics, data science, and cloud teams to ensure reliable, high-performance data delivery for the clients we serve.
Added 12 days ago
C
Expert System Architecture - Google Cloud Platform and Gemini Entreprise-CA
CN
Toronto, ON
- Full-time
…Google Cloud and Gemini Enterprise expert, driving cloud and AI strategy and delivering scalable, secure, governed, and cost-effective solutions that accelerate business…
Added 12 days ago
ZC
Data Engineer
Zurich Canada
Toronto, ON
- Full-time
Zurich Canada is currently looking for a Data Engineer to build, operate, and support data pipelines and analytics-ready datasets that power reporting, advanced analytics, and AI-enabled…
Added 12 days ago
A
Engineering Manager, ML Infrastructure & Operations - Forma Generative AI
Autodesk
Toronto, ON
- Full-time
Define the architecture and optimization strategy for ML workloads as model size, data volume, compute requirements, and experiment velocity grow, with a focus on performance, utilization,…
Added 12 days ago
A
Engineering Manager, ML Infrastructure & Operations - Forma Generative AI
Autodesk
Toronto, ON
- Full-time
Define the architecture and optimization strategy for ML workloads as model size, data volume, compute requirements, and experiment velocity grow, with a focus on performance, utilization,…
Added 15 days ago
PC
Cloud Architecture & Engineering, Director
PwC Canada
Toronto, ON
- Full-time
Provide technical guidance on compute, storage, networking, security, identity, data services, and DevOps tooling.
Added 15 days ago
P
Cloud Architecture & Engineering, Director
PwC
Ottawa, ON · Toronto, ON
- Full-time
Provide technical guidance on compute, storage, networking, security, identity, data services, and DevOps tooling.
Added 15 days ago
PC
Cloud Architecture & Engineering, Director
PwC Canada
Ottawa, ON
- Full-time
Provide technical guidance on compute, storage, networking, security, identity, data services, and DevOps tooling.
Added 16 days ago
S
Senior AI Machine Learning Engineer
SAP
Montreal, QC
- Full-time
…next generation of relational foundation model for structured…
Added 16 days ago
Senior AI Platform Software Engineer
Scotiabank
Toronto, ON
Bachelor’s degree in Computer Science, Software Engineering, Data Engineering, Machine Learning, or a related technical discipline, or equivalent practical experience.
Added 16 days ago
SH
Vice President, Data and AI Foundations
SE Health
Markham, ON
- Full-time
The VP, Data and AI Foundations is an enterprise executive leadership role accountable for defining, governing, and executing SE Health's end-to-end data and AI ecosystem. This role owns…
Added 18 days ago
SP
Technical Architect Director - PubSec - Mulesoft Canada
Salesforce Partner Canada
Toronto, ON
- Full-time
The Director, Data Foundation Delivery is a senior leader who owns the strategy, architecture, and successful delivery of enterprise Data Foundation engagements for Salesforce Professional…
Added 22 days ago
VG
[VO2 Canada] - Développeuse.eur Fullstack IA– Missions Ponctuelles
VO2 GROUP
Montreal, QC
- Full-time
✔️ Jusqu’à la réalisation à l’échelle, grâce à une expertise reconnue en business & tech, data et IA 🤖✨

Accenture

Forward Deployed Technical Consultant-Snowflake: AI&Data Advanced Technology Centers

Mississauga, ON, Canada
Montreal, QC, Canada

Full-time

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Job details

Job type: Full-time
Posting language: English
Posted: Oct 20, 2026

Original job description

We are:

The Advanced Technology Centers (ATCs) are the engine for reinvention in our clients’ transformation journey. Powered by more than 255,000 people across 24 countries, ATCs provide our clients with seamless access to industry insights and innovative technology solutions.

Stronger together!

The Advanced Technology Centers (ATCs) make a tremendous impact in solving our clients’ business problems by leveraging innovation, intelligence, industry insights, new IT, and new technology skills. With the global environment changing at a faster pace, our clients are facing unprecedented challenges, and they need us more than ever before. As a Network, ATCs are positioned to unlock greater opportunities and exponential value for our clients.

The value for our clients and our people:

For our clients, the Network provides the strength of our geographic diversity, greater resilience, and seamless access to the deepest industry knowledge, the latest in Gen AI solutions, and tech expertise from around the world.

For our people, it brings an opportunity to shape truly boundaryless career paths in a highly collaborative team of experts where they can learn from each other and solve the world’s most complex client challenges.

You Are:

As a Forward Deployed Technical Consultant, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third-party AI services to deliver production-ready outcomes. You will design, build, and operationalize enterprise-grade data and agentic AI solutions on the Snowflake AI Data Cloud. Your role spans the full solution lifecycle of Snowflake-native data products and agentic AI systems - assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data and DevOps & MLOps pipelines for training and production, and ensuring quality, value, and reliability of deployed systems.

You’ll work closely with analytics, data science, and cloud teams to ensure reliable, high-performance data delivery for the clients we serve.

THE WORK

Formulate real-world problems into practical, efficient, and scalable AI and Machine Learning solutions

Architect and maintain a scalable, governed Snowflake AI Data Cloud environment including compute optimization, warehouse sizing, and cost management.

Design and implement ELT/ETL frameworks using Snowflake SQL, Snowpark Python, Dynamic Tables, Streams, Tasks, and Snowpipe for batch, streaming, CDC, and event-driven ingestion patterns

Build reusable, AI-ready data products with clear ownership, semantic context, data quality SLAs, and lineage tracking

Design and build multi-step agentic AI workflows using Snowflake Cortex Agents, Cortex AI Functions, Cortex Search, and Cortex Analyst.

Develop production-grade Retrieval-Augmented Generation (RAG) pipelines with vector search, semantic retrieval, and hybrid search capabilities over governed Snowflake datasets.

Integrate AI agents with enterprise systems via MCP (Model Context Protocol) connectors, REST APIs, and event-driven messaging architectures.

Implement tool-use orchestration, prompt engineering, and evaluation frameworks (LLMOps) for reliable, auditable AI agent behaviour.

Apply agentic automation to operational use cases including anomaly detection, data quality remediation, query diagnosis, documentation generation, and incident summarisation.

Integrate AI agents with enterprise systems via MCP (Model Context Protocol) connectors, REST APIs, and event-driven messaging architectures.

Build and maintain semantic data models that expose governed, business-ready datasets to Cortex Analyst and BI tools

Engage in research and development of new AI and high-performance compute algorithms, models, and simulations along with their applications to solve complex business problems at client sites

Work with large-scale datasets and utilize data preprocessing techniques to ensure high-quality input for training and production

Implement and maintain efficient data storage and retrieval mechanisms for models and knowledge using appropriate tools

Justify the value of model approaches in business problems

Collaborate with teams from both business and technical sides, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project goals and integrate into production.

This is a hybrid role in Mississauga/Montreal and requires 3 days per week in the office/client location

BASIC (REQUIRED) QUALIFICATION

Bachelor's degree or completion of a college program in Computer Science, or related field

3+ years experience in Snowflake-native features: Snowpark (Python), Dynamic Tables, Streams & Tasks, Snowpipe, Cortex AI suite, and performance tuning.

3+ years experience in Python (data pipelining and ML workloads) and advanced SQL.Experience with data modelling methodologies and dbt for transformation layer management.

Familiarity with at least one major cloud platform (AWS, Azure, or GCP) and associated services (object storage, IAM, networking, managed compute).

Minimum of 3 years of experience in applying theoretical foundations of computer science, including computer system architecture, and programming

Minimum of 1 years of experience in distributed computing systems and architecture that may include big data, high-performance compute, scientific compute, grid and cloud computing, distributed networks

Minimum of 1 years of experience in building and deploying AI/ML based software to a cloud environment.

English is required for this position as this role will regularly interact with stakeholders across Canada, US and other countries across our Global footprint where English is the common language. Due to the significant high volume of interactions with these English-speaking stakeholders, which is inherent to this position, it is not possible to reorganize the company's activities to avoid this requirement.

PREFERRED QUALIFICATION

Proficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch).
Experience with vector databases (e.g., Snowflake Vector Search, Pinecone, Weaviate) and embedding models (e.g., Snowflake Arctic Embed)
Snowflake SnowPro Advanced certification (Data Engineer or Architect) or Cortex AI practitioner credentials.
Hands-on experience with MLOps tooling: model registries, evaluation pipelines, experiment tracking, and monitoring in production.
Familiarity with MCP (Model Context Protocol) and enterprise agentic control plane architectures.
Exposure to streaming technologies (Apache Kafka, Kinesis) integrated with Snowflake ingestion pipelines.
Strong written & verbal communication skills and ability to communicate complex technical concepts to non-technical stakeholders
Strong client-facing skillsets in a consulting environment

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation, based on full-time employment, for roles that may be hired as set forth below. The recruiting efforts for this position are intended to fill a brand new position. The base pay range shown below is intended as a guideline to reflect the majority of offers for this role. It does not represent a maximum limit - in some cases, actual compensation may exceed the range where appropriate.

Information on benefits is here.

https://www.accenture.com/ca-en/careers/local/benefits

Role Location Annual Salary Range British Columbia/Ontario/New Brunswick $75,400 to $125,400

Information on benefits is here.

Role Location Hourly Salary Range British Columbia/Ontario/New Brunswick $36.25 to $60.29

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services - creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

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More about this job

Responsibilities

Design, build, and operationalize enterprise-grade AI and machine learning solutions using the Snowflake AI Data Cloud. Collaborate with cross-functional teams to architect scalable data pipelines and deploy agentic AI workflows to solve complex business problems.

Requirements

Requires a bachelor's degree in Computer Science or a related field and at least 3 years of experience with Snowflake-native features and Python. Candidates must have a strong background in data modeling, distributed computing, and deploying AI/ML software in cloud environments.

Skills

Snowflake
Python
SQL
Artificial Intelligence
Machine Learning
Snowpark
Data Engineering
Cloud Computing
MLOps
Generative AI
Large Language Models
Data Modeling
ETL
Agentic AI
Consulting
Retrieval-Augmented Generation

Visa sponsorship

Not detected in the job text

Keywords

Snowflake
Snowpark
Python
SQL
Artificial Intelligence
Machine Learning
Generative AI
Large Language Models
Data Engineering
Cloud Computing
MLOps
ETL
Data Modeling
Agentic AI
Snowflake Cortex
RAG
Vector Search
Consulting
Distributed Computing
Data Pipelines
Dynamic Tables
Snowpipe
Model Context Protocol
Data Governance
Performance Tuning
Big Data
High-Performance Compute
Software Architecture
Prompt Engineering
LLMOps

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