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Slalom

AI Engineer - Senior Consultant

Toronto, ON, Canada
Greater Toronto Area, Canada, Canada

For this position, the expected base salary pay range is $130,000 - $155,000. · Full-time

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Job details

Pay: For this position, the expected base salary pay range is $130,000 - $155,000.
Job type: Full-time
Apply by: Dec 4, 2026
Experience: 5+ years of experience implementing models or machine learning algorithms into production
Posting language: English
Posted: Nov 4, 2026

Original job description

Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries collaborate with clients to bring powerful customer experiences, innovative ways of working, and new products and services to life. We are trusted by leaders across the Global 1000, many successful enterprise and mid-market companies, and 500+ public sector organizations to improve operations, drive growth, and create value.

At Slalom, we believe that together, we can move faster, dream bigger, and build better tomorrows for all.

Job Title: Senior Consultant – AI Engineer (Vacant Role)

Who You’ll Work With

As a modern technology company, our Slalom Technologists are disrupting the market and bringing to life the art of the possible for our clients. We have passion for building strategies, solutions, and creative products to help our clients solve their most complex and interesting business problems. We surround our technologists with interesting challenges, innovative minds, and emerging technologies. Slalom's Data AI capability focuses on next-level AI and Machine Learning solutions for clients. You'll join a diverse team of engineers, data scientists, and AI thought leaders. We work across modern AI platforms, develop novel AI solutions, and work with our technology partners to push their products into the future.

What You’ll Do

Apply Machine Learning, Deep Learning, and other relevant technologies to assist in building AI tools that solve real business problems.
Assist in the design, development, presentation, and delivery of traditional ML solutions in areas such as Computer Vision, NLP, Recommendation Systems, etc.
Stay updated on fundamental AI/ML concepts and emerging trends to contribute to solution discussions and development.
Contribute to the growth of the AI/ML community within the organization through learning, mentoring, and sharing knowledge.

What You’ll Bring

5+ years of experience implementing models or machine learning algorithms into production
3+ years of professional Managed or IT Professional consulting experience preferred. 
Strong consultative and communication skills, and the ability to convey complex technical concepts to diverse stakeholders.
Solid technical foundation, combined with constant curiosity to stay on the creative edge of ML/AI solutions.
Technical and conversational fluency in AI, GenAI, Machine Learning and at least one of the major clouds (AWS, GCP, Azure)

Hands-on experience with RAG, agentic workflows, fine tuning, or other LLM-based techniques.
Experience deploying ML/AI into production, and ability to talk through best practices and pitfalls.
Understanding of validation frameworks for AI and ML tools, with knowledge of the production-ready offerings on the market for AI validation.
Excellent python, especially for ML/AI use cases.
Data Science and/or Data Engineering background preferred. 
Nice to have:

Experience in a sales support role, within Data Science, Machine Learning, or AI.
Familiarity with leading data platforms like Databricks and Snowflake, and their basic services.
Experience implementing ML Ops best practices and ML workflow tools, and the ability to translate this experience to creative LLM Ops solutions.

Hybrid/In office: We are hybrid but there are expectations that if your team leader requires you onsite that you are able to meet those expectations/requirements

Slalom is committed to fair and equitable compensation practices. For this position, the expected base salary pay range is $130,000 - $155,000. In addition, there is potential for a 10% discretionary bonus based on individual and company performance. Actual compensation will depend upon individual’s skills, experience, qualifications, and other relevant factors.

Slalom Employee Perks:

Culture & fun!  
Lunch & learns 
Health & wellness activities 
Holiday parties  
Employee community groups

Social clubs & activities  
Vacation (20 days prorated based on start date & wellness/sick days)

Tangible perks

Competitive compensation package 
$100 cell phone monthly reimbursement 
Registered Retirement Program (RRSP) & Employer Matching 
Tax-Free Savings Account (TFSA) 
Annual “Thrive Well-Being” Gift Card 
Family planning/ Fertility Benefit 
Maternity/Parental Leave Top-Up 
Medical & Dental Benefits 
Life and AD&D Insurance 
Access to Supplementary Life and AD&D Insurance 
Access to the Employee Assistance Program (EAP) and Inkblot Therapy 
And more!

*All benefits are subject to eligibility requirements

Slalom is an inclusive, equal opportunity employer dedicated to building a diverse workforce. We encourage applications from all qualified candidates and will work to reasonably accommodate applicants’ needs throughout all stages of the recruitment and selection process. Please advise the talent acquisition team if you require accommodations during the interview process. At Slalom, we leverage artificial intelligence (AI) to enhance the efficiency and scalability of our recruitment process. To learn more about how we leverage AI please read our TA AI Usage policy here. Link: https://www.slalom.com/us/en/careers/applying-to-slalom-ai

Please note if you are hired at Slalom you will be required to complete a background check.

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More about this job

Responsibilities

Build and deliver AI and machine learning solutions for business problems, including traditional ML applications such as computer vision, natural language processing, and recommendation systems. Contribute to solution discussions and the organization’s AI/ML community through ongoing learning, mentoring, and knowledge sharing.

Requirements

Requires at least five years of experience putting models or machine learning algorithms into production, strong Python skills, and fluency in AI/ML and at least one major cloud platform. Candidates should have hands-on experience with LLM techniques, production deployment and validation practices, and strong consulting and communication skills; consulting experience and a data science or data engineering background are preferred.

Skills

Machine Learning
Deep Learning
Artificial Intelligence
Generative AI
Python
Retrieval-Augmented Generation
Agentic Workflows
Fine-Tuning
Machine Learning Operations
Model Deployment
AI Validation
Cloud Platforms
Data Science
Data Engineering
Consulting

Benefits

Lunch And Learns
Health And Wellness Activities
Holiday Parties
Employee Community Groups
Social Clubs And Activities
Vacation
Wellness And Sick Days
Cell Phone Reimbursement
Employer Matching
Tax-Free Savings Account
Annual Well-Being Gift Card
Family Planning And Fertility Benefit
Maternity And Parental Leave Top-Up
Medical And Dental Benefits
Life And Accidental Death And Dismemberment Insurance
Supplementary Life And Accidental Death And Dismemberment Insurance
Employee Assistance Program
Therapy

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Deep Learning
Artificial Intelligence
Generative AI
Python
Computer Vision
Natural Language Processing
Recommendation Systems
Retrieval-Augmented Generation
Agentic Workflows
Fine-Tuning
Large Language Models
AWS
Google Cloud Platform
Microsoft Azure
AI Validation
Model Deployment
Machine Learning Operations
Databricks
Snowflake
Data Science
Data Engineering
Consulting
Production Machine Learning

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