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Added 3 months ago
S
Agentic AI Architect - Intelligence Engineering (Toronto)
Slalom
Toronto, Ontario · Greater Toronto Area, Canada
- Full-time
Build in Python and, where useful, other languages to deliver machine learning systems, APIs, evaluation harnesses, retrieval pipelines, agent workflows, and production services
Added 1 month ago
TH
Manager, Data Science (Askuity division)
The Home Depot
Toronto, ON
- Full-time
Lead and mentor a team of data scientists in developing AI-powered solutions, including Generative AI (GenAI), for Fusion.
Added 1 month ago
P
Senior Applied Researcher AI/ML ( CAD)
PointClickCare
Canada
- Full-time
Apply machine learning and AI techniques including GenAI and LLM-based approaches to develop model systems and solutions, collaborating across functions to scale and integrate these into…
Added 2 months ago
PF
Lead Data Engineer
PureFacts Financial Solutions
Toronto, ON
- $130,000 to $150,000 CAD / year
Leverage GenAI-assisted development tools to accelerate pipeline construction, code optimization, and documentation.
Added 2 months ago
Q
Sr. Engineer, Machine Learning Software Verification
Qualcomm
Markham, ON
- Full-time
1+ years of Python and other scripting programming
Added 2 months ago
A
Sr Associate Software Engineer - Applied AI
Amgen
Burnaby, BC
- Full-time
Strong programming skills in Python and familiarity with GenAI libraries (Transformers, LangChain, Hugging Face, etc.).
Added 2 months ago
P
Financial Instruments Valuation and Market Risk Manager
PwC
Toronto, ON
- Full-time
Assisting in the development of leading edge GenAI solutions that transform the delivery of these services, and provide GenAI advice to our clients
Added 22 days ago
PC
Senior AI Engineer - Toronto, ON
Pozent Corporation
Toronto, ON
- Contract
We are seeking an experienced AI Engineer to design and deliver scalable GenAI solutions. This subcontractor role focuses on building production�?ready AI products using Python, React, and…
Added 1 month ago
A
CCaaS Engineer
Accenture
Toronto, ON · Vancouver, BC · Calgary, AB
- Full-time
Develop AWS Lambda functions and backend integrations in Python, Node.js, or Java.
Added 2 months ago
O
Lead, AI/Machine Learning Engineer
OMERS
Toronto, ON · Head Office Toronto
- Full-time
Practical experience with one or more LLM/GenAI frameworks, such as LangChain, LlamaIndex, or Semantic Kernel.
Added 4 months ago
X
Full Stack AI Engineer / Applied AI Engineer
Xsolla
Montreal, Quebec
- Full-time
Design and develop full-stack applications that power GenAI applications and platforms
Added 3 months ago
R
Senior Platform Engineer, AI
RAVL
Toronto, Ontario
- Full-time
…next-generation AI systems across clients. This includes developing GenAI platforms, enabling agent-based architectures, and designing scalable orchestration and integration layers for…
Added 3 months ago
GH
Engineering Manager
Greenspace Health
Remote, Canada
- $140,000 to $155,000 CAD / year
- Full-time
- Remote
…data. Fluency in or ability to quickly ramp up in our stack: Python, JavaScript/TypeScript, Django, PostgreSQL, Redis,…
Added 23 days ago
KG
Gen AI Developer
K&K Global Talent Solutions INC.
Mississauga, ON
- Full-time
We are looking for an experienced and innovative Generative AI Developer to design, develop, and deploy intelligent AI-driven applications. The ideal candidate should have strong expertise…
Added 3 months ago
BP
AI Model Validator
BNP Paribas
Montreal, Quebec
- Full-time
Programming experience in statistical or mathematical languages such as Python or R, and hands‑on experience with version‑control systems like GitHub.
Added 4 months ago
D
Senior Data Scientist
DAC
Toronto, Ontario
- Full-time
Explore AI and GenAI applications to enhance analytical capabilities and client solutions
Added 24 days ago
IS
Senior Machine Learning / AI Engineer
INETCO Systems Ltd.
Vancouver, BC
- Full-time
Strong experience with Python and common machine learning frameworks.
Added 2 months ago
TD
Technical Lead - Five9
TELUS Digital
Remote, Canada
- $132,000 to $165,000 CAD / year
- Full-time
- Remote
Five9 certification(s) (e.g., Five9 Administrator, Implementation, or Application Developer), or progress toward certification.
Added 4 months ago
C
Consultant, Data and AI Analytics
CIBC
Toronto, Ontario
- Full-time
…least 2 years of Azure Databricks and at least 1-2 years with GenAI like Microsoft Co-Pilot Studio; coupled with at least 4 years of SQL and Python experience. It’s an asset if you have C#…
Added 24 days ago
MC
Senior Machine Learning Engineer Specialist – AI Centre of Excellence (35668)
Myticas Consulting
Canada
- Contract
The successful candidate will bring expert-level Python and SQL skills, combined with deep hands-on experience with Azure Machine Learning, Databricks, MLflow, CI/CD, MLOps, model…
Added 23 days ago
SimCorp Dimension (SCD) Specialist
Munich Re
Toronto, ON
Experience in Cloud infrastructure (MS Azure), API usage is a plus (SQL, Python, JSON)
Added 23 days ago
TA
AI Engagement Lead
Tiger Analytics Inc.
Remote, Canada
- Full-time
- Remote
Lead AI/GenAI engagements from discovery and solution definition through development, deployment, and production.
Added 23 days ago
S
Forward Deployed Solution Engineer – Applied AI FDE
ServiceNow
Montreal, QC
- Full-time
…ambigus en systèmes d'IA fonctionnels. En tant qu'ingénieur GenAI/ML au sein de l'équipe FDE, vous serez amené à…
Added 24 days ago
S
Senior AI Agent Engineer (Agentic AI & Multi-Agent Systems)
Synechron
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
Knowledge of productionizing GenAI applications.
Added 5 months ago
F
Machine Learning Engineer
FactualIQ
Remote, Canada
- $160,000 to $190,000 CAD / year
- Full-time
- Remote
5+ years of experience building and deploying ML models in production environments, with recent hands-on experience in LLM or GenAI systems.

Slalom

Agentic AI Architect - Intelligence Engineering (Toronto)

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

Full-time

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Job details

Job type: Full-time
Posting language: English
Posted: Jun 30, 2026

Original job description

At Slalom, we co-create modern technology and software products with clients who are ready to accelerate their digital product development. We imagine how things can be made better, then set out to realize what’s possible - driving innovation with quality, resilience, and purpose. By blending design, product engineering, analytics, and automation, we build the custom-built software and data products of tomorrow.

Job Title:

Agentic AI Architect or Sr. Architect - Intelligence Engineering (For Vacant Role)

Mission

As a Senior Architect or Architect in Intelligence Engineering, you’ll design and deliver innovative AI/ML and agentic AI solutions as part of intelligent products and automating / re-envisioning human workflows on Amazon Web Services, Azure, and Google Cloud. This includes architecting multi-agent systems, LLM-powered autonomous workflows, retrieval-augmented generation (RAG) pipelines, and enterprise-grade AI governance frameworks using cutting-edge orchestration frameworks, tool-use protocols, and cloud-native AI services. You’ll help clients move from isolated proofs of concept to secure, scalable, observable systems that create real business value, while helping craft projects in their initial phases and delivering them with a team.

Who you’ll work with

You’ll join a tightly knit product team - engineers, product leaders, designers, and data practitioners - who co‑create modern software with our customers. We move from discovery to delivery together, pairing on code, pressure‑testing ideas with real users, and turning learnings into ship‑ready increments. You’ll collaborate with customer stakeholders and field teams to bring outside‑in insights into the roadmap, and you’ll help enable clients on the practices and tools we use so they can sustain value long after launch. Think craft‑driven Builders who care about outcomes, not just output.

What you’ll do

Provide thought leadership on AI/ML, Generative AI, and Agentic AI internally and with clients, while contributing to a culture of collaboration, learning, and curiosity
Design end-to-end agentic AI architectures including planning loops, memory management, tool integration, and agent coordination patterns
Architect multi-agent orchestration systems using frameworks such asStrands Agents SDK,OpenAI Agents SDK, Google ADK,LangGraphor similar for autonomous reasoning, decision-making, and task execution
Design and implement Model Context Protocol (MCP) server integrations for tool use, data access, and cross-system interoperability with enterprise systems
Build advanced retrieval-augmented generation (RAG) systems including vector databases, embedding strategies, chunking optimization, hybrid search, re-ranking, and multi-source data synthesis
Design and deliver AI and ML solutions across AWS, Azure, and GCP, using the rightmixcombinationof cloud-native data services, ML tooling, LLM platforms, and software engineering practices
Build in Python and, where useful, other languages to deliver machine learning systems, APIs, evaluation harnesses, retrieval pipelines, agent workflows, and production services
Recommend and implement architecture for model and agent pipelines, CI/CD, testing, deployment, observability, andMLOps/LLMOpsat scale
Implement evaluation frameworks (e.g., RAGAS,DeepEval,LangSmith) to measure task success rates, tool-call accuracy, and reasoning integrity for GenAI systems
Build guardrails for safety, compliance, and performance monitoring including human-in-the-loop (HITL) approval workflows, escalation policies, and sandbox isolation
Define AI governance frameworks including model risk management, responsible AI practices, regulatory compliance, and authorization boundaries for autonomous decision-making
Explain model and system behavior to both technical and non-technical audiences, including leading deep technical presentations, workshops, and architecture conversations
Collaborate with Product Owners to apply Slalom’s agile process and lead the initiation, delivery, and transition of projects in a client-facing role
Lead and mentor engineers and machine learning practitioners. Lead smaller projects (3 to 5 people) as the technical lead from project initiation to delivery
Build trusted relationships with customers and collaborate across Slalom teams to share learnings and strengthen the broader Intelligence Engineering practice
Will be delivery-focusedapproximately 85–95% of the time
Willingness to travel up to 50%, at peak times

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 the role, we are hiring at the following levels and targeted base pay salary ranges:

Architect - CAD123,000 to CAD163,000
Sr. Architect - CAD147,000 to CAD195,000

In addition, there is potential for a 10% discretionary bonus for Architect, and 12% for Sr. Architect, based on individual and company performance. Actual compensation will depend upon individual’s skills, experience, qualifications, and other relevant factors.

What you’ll do

5+ years of software engineering experience building and deploying production systems; experience with machine learning, applied AI, or intelligent software systems is a plus, with 2+ years focused on generative AI, LLMs, or agentic AI systems
Hands-on experience designing or building multi-agent systems including agent orchestration, tool integration, and autonomous decision-making workflows
Proficiency with at least one agentic AI or workflow framework such as LangGraph, Strands, AutoGen, CrewAI, Semantic Kernel, OpenAI Agents SDK, Google ADK, or similar
Experience with RAG architectures including vector databases, embeddings, and retrieval optimization, and context management techniques such as chunking, summarization, and memory handling
Experience developing production-ready solutions on at least one major cloud AI platform, such as AWS Bedrock, Azure AI Foundry/OpenAI Service, GCP Vertex AI/Gemini, or Databricks; experience operating and maintaining production environments is a plus
Experience with AI-assisted development tools such as Claude Code, Cursor, Kiro, or similar IDE-based coding agents, including effective use for code generation, refactoring, debugging, and developer workflow acceleration
Strong Python development skills; experience withFastAPI, Flask, or equivalent API frameworks
Experience building ML or AI systems end to end, including data access, feature or retrieval flows, APIs, testing, deployment, and production support
Familiarity with evaluation frameworks, tracing, observability, model behavior analysis, and regression testing for GenAI systems
Understanding of prompt engineering, LLM fine-tuning, chain-of-thought reasoning, and structured output techniques
Recognized as an authority on at least one technical domain (e.g., Agentic Systems, RAG, Multi-Agent Orchestration) with generalist familiarity across AI/ML techniques
Ability to work across new domains and unfamiliar data structures and lead exploratory analysis when requirements are not fully defined
Excellent verbal and written communication skills; ability to lead highly technical presentations
Familiarity with Agile project delivery
(Preferred) Experience with Model Context Protocol (MCP) server development and integration
(Preferred) Experience with MLOps/LLMOps pipelines, CI/CD for ML, and model monitoring/observability

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.

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More about this job

Responsibilities

Design and deliver innovative AI/ML and agentic AI solutions as part of intelligent products. Collaborate with product teams and clients to create scalable systems that provide real business value.

Requirements

Candidates should have 5+ years of software engineering experience, with a focus on generative AI and agentic AI systems. Proficiency in designing multi-agent systems and experience with cloud AI platforms is essential.

Skills

AI/ML
Generative AI
Agentic AI
Multi-Agent Systems
Cloud Computing
Python
MLOps
CI/CD
Data Engineering
API Development
Agile Methodologies
Model Governance
Evaluation Frameworks
Tool Integration
Autonomous Workflows
Observability

Benefits

Health Insurance
Retirement Plan
Paid Time Off
Parental Leave
Wellness Programs
Employee Assistance Program

Visa sponsorship

Not detected in the job text

Keywords

AI
ML
Generative AI
Agentic AI
Multi-Agent Systems
Cloud Computing
AWS
Azure
GCP
Python
FastAPI
Flask
MLOps
CI/CD
Data Engineering
API Development
Agile
Evaluation Frameworks
Observability
Tool Integration
Autonomous Workflows
Model Governance
RAG
Vector Databases
Embedding Strategies
Chunking Optimization
Human-in-the-Loop
Regulatory Compliance
Risk Management
Deep Learning

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