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Accenture

AI LLM Senior Analyst

Mississauga, ON, Canada
Montreal, QC, Canada

Role Location Hourly Salary Range British Columbia/Ontario/New Brunswick $29.59 to $53.63 · Full-time

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Job details

Pay: Role Location Hourly Salary Range British Columbia/Ontario/New Brunswick $29.59 to $53.63
Job type: Full-time
Posting language: English
Posted: Oct 21, 2026

Original job description

We are:

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

Stronger together!

The Advanced Technology Centers (ATCs) make tremendous impact in solving our clients’ business problems leveraging Innovation, Intelligence, Industry insights, new IT and new technology skills. Now, 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 an AI/ML Computational Scientist, 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. Your role spans the full solution lifecycle - 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.

THE WORK

Formulate real-world problems into practical, efficient, and scalable AI and Machine Learning solutions
Develop and implement machine learning algorithms, models, and computational systems; design and build scalable data pipelines to support model training and production with DevOps & MLOps
Customize and apply Deep Learning and Gen AI models for various use cases based on the business needs, data availability, system and infrastructure requirements - including edge device and HPC
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 in Computer Science, or a related field
Minimum of 2 years of experience in Cloud services – AWS or Azure or GCP.
Minimum of 2 years of experience as a machine learning engineer or scientist, deploying models in production at scale, including monitoring, alerting, automatic bug filing and auditing.
Minimum of 2 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 year of experience in building and deploying AI/ML based software to a cloud environment.

English is required for this position as this role will be aligned to multi-national teams where English is the common language across our Global Enterprise. Due to the significant high volume of interactions with these English-speaking multi-national teams, which is inherent to this position, it is not possible to reorganize the company's activities to avoid this requirement.

#LI-NA-FY25#LI-MP

PREFERRED QUALIFICATION

Proficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and frameworks.
Experience working with language models like LLM's APIs and optimizing their usage for specific applications.
Experience with the following programming languages: Python, C++, Java, R, SQL
Strong written & verbal communication skills and ability to communicate complex technical concepts to non-technical stakeholders
Strong client-facing skillsets in a consulting environment
Strong cross-functional skills with the ability to collaborate with a variety of internal and client-side teams
Entrepreneurial mindset with a curiosity and passion for emergent tech and driving innovation

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:

Role Location Hourly Salary Range British Columbia/Ontario/New Brunswick $29.59 to $53.63

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, develop, and deploy scalable AI and machine learning solutions, including deep learning and generative AI models, for enterprise client needs. Build data and MLOps pipelines, ensure production systems are reliable and valuable, and collaborate with business and technical teams to integrate solutions.

Requirements

A bachelor's degree or completion of a college program in computer science or a related field is required, along with at least two years of experience in cloud services and production machine learning. Candidates also need experience with computer science foundations, distributed computing, and deploying AI/ML software to the cloud; Python and experience with LLM APIs are preferred.

Skills

Machine Learning
Artificial Intelligence
Large Language Models
Generative AI
Deep Learning
Python
Cloud Services
AWS
Azure
Google Cloud Platform
MLOps
DevOps
Distributed Computing
Data Pipelines
Model Deployment
Client Collaboration

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
Computational Science
Large Language Models
Generative AI
Deep Learning
Python
C++
Java
R
SQL
AWS
Azure
Google Cloud Platform
MLOps
DevOps
Distributed Computing
High-Performance Computing
Scientific Computing
Cloud Computing
Data Preprocessing
Data Pipelines
Model Training
Production Deployment
Model Monitoring
Alerting
Auditing
LLM APIs
Enterprise AI
Client Consulting

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