AI/ML Architect – Principal
- Toronto, ON, Canada
- Greater Toronto Area, Canada, Canada
For this position, the expected base salary pay range is $140,000 to $170,000 CAD. · Full-time
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Job details
- Pay
- For this position, the expected base salary pay range is $140,000 to $170,000 CAD.
- Job type
- Full-time
- Apply by
- Posting language
- English
- Posted
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 partner with clients to co-create powerful customer experiences, modern ways of working, and meaningful impact.
What sets us apart? We believe work should be challenging and fulfilling, not perfect, but possible. That’s why we prioritize purpose, flexibility, connection, and recognition, so our people can thrive and love what they do, most days.
Job Title: AI/ML Architect – Principal (Vacant Role)
What You’ll Do
- Architect and deliver enterprise-scale AI/ML solutions including data pipelines, feature engineering, model development, deployment, monitoring, and lifecycle management.
- Design scalable, secure architectures that integrate across cloud-native and hybrid environments (AWS, Azure, GCP).
- Lead projects across applied AI domains such as natural language processing, computer vision, time series forecasting, recommender systems, and generative AI.
- Enable GenAI and LLMOps adoption, including fine-tuning, RAG (retrieval-augmented generation), prompt engineering, and orchestration frameworks.
- Champion Responsible AI practices (explainability, fairness, privacy, bias mitigation, and governance) to ensure ethical and compliant AI delivery.
- Evaluate emerging technologies, frameworks, and tools, providing clear recommendations tailored to client use cases.
- Lead and mentor cross-functional delivery teams of data engineers, ML engineers, and consultants, ensuring on-time, high-quality outcomes.
- Support business development through proposals, client pitches, solution accelerators, and thought leadership.
- Coach and mentor junior consultants, fostering a culture of continuous learning and innovation across the AI/ML practice.
What You’ll Bring
- 6+ years of experience implementing ML/AI models in production (classical ML, deep learning, or generative AI).
- 3+ years of experience in professional consulting or IT services, with proven ability to lead client-facing engagements.
- Deep expertise in ML/DL (TensorFlow, PyTorch, Scikit-learn).
- Demonstrated proficiency in GenAI frameworks (Hugging Face, LangChain).
- Strong programming skills in Python, R, or Scala with hands-on experience building scalable ML pipelines.
- Proficiency in cloud AI/ML services (AWS SageMaker, Azure ML, GCP Vertex AI) and big data ecosystems (Spark, Databricks, Kafka, Snowflake).
- Experience with MLOps/LLMOps, CI/CD, observability, and containerization (Docker, Kubernetes).
- Strong understanding of AI solution architecture, balancing performance, scalability, cost, and governance.
- Ability to communicate complex AI concepts to both technical and non-technical stakeholders, influencing executive decision-making.
- Experience managing delivery teams and shaping AI/ML roadmaps for enterprise clients.
- Strong problem-solving, critical thinking, and business acumen, with an innovative mindset.
Hybrid/In office: We are hybrid but there are expectations that if your team leader or client 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 $140,000 to $170,000 CAD.
In addition, there is potential for a 12% 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.
Please note if you are hired at Slalom you will be required to complete a background check.
More about this job
Responsibilities
Architect and deliver enterprise-scale AI/ML solutions across cloud and hybrid environments, including generative AI, model lifecycle management, and responsible AI practices. Lead and mentor cross-functional teams, advise clients on technology and roadmaps, and support business development through proposals, pitches, and thought leadership.
Requirements
Requires at least 6 years implementing production AI/ML models and at least 3 years in consulting or IT services with client-facing leadership experience. Candidates should bring deep ML/DL and GenAI expertise, strong programming and cloud/data platform skills, MLOps experience, and the ability to lead teams and communicate with executive and technical stakeholders.
Skills
- AI/ML Architecture
- Machine Learning
- Deep Learning
- Generative AI
- Natural Language Processing
- Computer Vision
- Python
- R
- Scala
- TensorFlow
- PyTorch
- Scikit-Learn
- Hugging Face
- LangChain
- MLOps/LLMOps
- Cloud AI/ML Services
Benefits
- Vacation
- Wellness And Sick Days
- Cell Phone Reimbursement
- Registered Retirement Savings Plan (RRSP) With Employer Matching
- Tax-Free Savings Account (TFSA)
- 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 Access
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Data & Analytics
- Software
- Management & Leadership
- Consulting
Keywords
- Artificial Intelligence
- Machine Learning
- Deep Learning
- Generative AI
- Natural Language Processing
- Computer Vision
- Time Series Forecasting
- Recommender Systems
- Retrieval-Augmented Generation
- Prompt Engineering
- Responsible AI
- Model Governance
- Python
- R
- Scala
- TensorFlow
- PyTorch
- Scikit-Learn
- Hugging Face
- LangChain
- AWS SageMaker
- Azure Machine Learning
- Google Cloud Vertex AI
- Apache Spark
- Databricks
- Kafka
- Snowflake
- MLOps
- LLMOps
- Docker