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Added 1 hour ago
A
Artificial Intelligence Researcher
Aloe
Vancouver, BC
- Full-time
We’re looking for a Senior AI Researcher to bridge frontier research with product innovation. You’ll focus on advancing breakthroughs in AI and machine reasoning and translating them into…
Added 6 hours ago
Gestionnaire Sénior, SSE
Aecon
Montreal, QC
Integrity. We lead by example, with humility and courage.
Added 12 hours ago
FG
BIM Specialist
Flynn Group of Companies
Mississauga, ON
- $65,000 to $85,000 CAD / year
- Full-time
-Create shop drawings internally working with senior drafter.
Added 12 hours ago
FG
BIM Specialist
Flynn Group of Companies
Mississauga, ON
- Full-time
-Create shop drawings internally working with senior drafter.
Added 15 hours ago
O
Senior AI Developer
OSEDEA
Montreal, QC
- Full-time
As a Senior AI Developer, you build production-grade AI features and systems for enterprise clients. You bring disciplined software development practices, strong applied AI skills, and the…
Added 1 day ago
M
AVP, AI
Manulife
Toronto, ON
- Full-time
Operating at the intersection of business strategy and AI engineering, the AVP partners with senior functional leaders to identify high-impact opportunities, shapes pragmatic delivery…
Added 2 days ago
CO
Director, AI, Data and Analytics
City of North Vancouver
North Vancouver, BC
- Full-time
Preferably a master’s or Ph.D. in business administration, in statistics, economics, science, technology, engineering, and mathematics or applied mathematics (STEM); computer science;…
Added 2 days ago
Senior AI Applied Value Architect
Celonis
Canada
The Role: As a Senior AI Applied Value Architect, you will spearhead AI and data-driven business transformation supporting customers in North America, by contributing to your customer’s…
Added 2 days ago
S
Agentic AI Architect - Intelligence Engineering (Toronto)
Slalom
Toronto, ON · Greater Toronto Area, Canada
- Full-time
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 /…
Added 2 days ago
M
AVP, GTO Strategy & Transformation
Manulife
Toronto, ON
- Full-time
As AVP, GTO Strategy & Transformation, you will lead GTO's strategy, transformation agenda, and multi-year roadmap, while also overseeing the GTO global AI platform roadmap. Your focus will…
Added 2 days ago
IF
Bilingual (FR-EN) Manager, Security Platforms and Resilience, Security Operations Centre
Intact FC
Ottawa, ON · Toronto, ON · Laval, QC · Montreal, QC · Saint-Hyacinthe, QC
- Full-time
Lead the team responsible for engineering, platforms and resilience within the Security Operations Centre, as well as security and compliance demonstration capabilities.
Added 2 days ago
S
Senior Manager – Systems Assurance
SYSTRA
Toronto, ON
- Full-time
Demonstrated ability to evaluate multidisciplinary engineering evidence, manage technical assurance gaps and risks, lead independent assurance activities and communicate complex assurance…
Added 2 days ago
VI
Chief Information Officer
Vector Institute
Toronto, ON
- Full-time
In collaboration with the Chief Data Officer and AI Engineering team, lead the development and continuous evolution of Vector's internal AI strategy, encompassing systems deployment,…
Added 2 days ago
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Senior Account Manager
Citylitics
Toronto, ON
- Full-time
…high-value sales intelligence. Leading infrastructure vendors, engineering firms, and construction companies use the platform to identify and pre-position for major infrastructure…
Added 2 days ago
CI
Senior Account Manager
Citylitics Inc.
Toronto, ON
- Full-time
…high-value sales intelligence. Leading infrastructure vendors, engineering firms, and construction companies use the platform to identify and pre-position for major infrastructure…
Added 2 days ago
M
Responsable Environnement, Santé et Sécurité (EHS) du Site / Senior Manager, Site Environment, Health & Safety (EHS) Lead
Moderna
Laval, QC
- Full-time
Added 3 days ago
B
Software Engineer - Model Performance Systems
Baseten
Montreal, QC
- $165,000 to $330,000 USD / year
- Full-time
…OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI…
Added 3 days ago
B
Software Engineer - Model Performance Systems
Baseten
Toronto, ON
- $165,000 to $330,000 USD / year
- Full-time
…OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI…
Added 3 days ago
LM
Senior Software Engineer - Product Lead - ISS Team
Lockheed Martin
Ottawa, ON
- $102,750 to $134,750 USD / year
- Full-time
he Senior Software Engineer is a technical leader and subject matter expert who combines hands-on software development with team leadership and mentorship. In this role, the successful…
Added 3 days ago
SC
Senior Manager – Systems Assurance
SYSTRA Canada
Toronto, ON
- Full-time
Demonstrated ability to evaluate multidisciplinary engineering evidence, manage technical assurance gaps and risks, lead independent assurance activities and communicate complex assurance…
Added 3 days ago
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SAP Customer Solution Director
Talan
Montreal, QC
- $170,000 to $220,000 CAD / year
- Full-time
…experts, proprietary solutions built on advanced models, and an applied research, experimental development, and innovation…
Added 3 days ago
1
Applied AI Engineer - Evaluation & Reliability
15Rock
Toronto, ON · Greater Toronto Area, Canada
- Full-time
A small, senior team with direct access to the founder and research lead. Async by default - we meet on blockers, not to read status aloud. We run on hypotheses and measurable outcomes.
Added 3 days ago
W
Machine Learning Scientist III - Customer Service AI
Wayfair
Toronto, ON
- $211,914 to $225,158.5 CAD / year
- Full-time
Mentorship & Engineering Excellence: Set high standards for experimental rigor and code quality across the team; lead design reviews, mentor mid-level and junior scientists, and foster a…
Added 3 days ago
LM
Senior Software Engineer - Product Lead
Lockheed Martin
Ottawa, ON
- Full-time
The Senior Software Engineer is a technical leader and subject matter expert who combines hands-on software development with team leadership and mentorship. In this role, the successful…
Added 3 days ago
R&
Senior Delivery Manager
Robots & Pencils
Canada
- Full-time
Robots & Pencils is an applied AI engineering firm building the next frontier of business architecture. We design and ship AI co-workers that integrate into enterprise operations and…

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
Apply by: Nov 15, 2026
Posting language: English
Posted: Oct 16, 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 secure, scalable AI/ML and agentic AI solutions, including multi-agent orchestration, RAG pipelines, MCP integrations, cloud-native services, and governance frameworks. Lead client-facing technical delivery and project initiation, mentor engineers, communicate architecture decisions, and help clients adopt practices that sustain long-term value.

Requirements

Candidates need at least five years of software engineering experience, including two or more years focused on generative AI, LLMs, or agentic AI, along with hands-on experience building production AI systems. Strong Python skills and experience with agent frameworks, RAG, cloud AI platforms, evaluation and observability, and technical communication are required; Agile delivery, MCP, and MLOps/LLMOps experience are preferred.

Skills

Agentic AI Architecture
Multi-Agent Systems
Generative AI
Retrieval-Augmented Generation
Python
Cloud Architecture
AWS
Azure
Google Cloud Platform
Model Context Protocol
AI Governance
MLOps And LLMOps
AI Evaluation And Observability
FastAPI
Technical Leadership
Agile Project Delivery

Benefits

Lunch And Learns
Health And Wellness Activities
Holiday Parties
Employee Community Groups
Social Clubs And Activities
20 Days Of Vacation
Wellness And Sick Days
Competitive Compensation
Cell Phone Reimbursement
Registered Retirement Savings Plan With Employer Matching
Tax-Free Savings Account
Annual Well-Being Gift Card
Family Planning And Fertility Benefits
Maternity And Parental Leave Top-Up
Medical Benefits
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

Keywords

Agentic AI
Artificial Intelligence
Machine Learning
Generative AI
Large Language Models
Multi-Agent Orchestration
LangGraph
Strands Agents SDK
OpenAI Agents SDK
Google ADK
Model Context Protocol
Retrieval-Augmented Generation
Vector Databases
AWS Bedrock
Azure AI Foundry
Azure OpenAI Service
Google Vertex AI
Gemini
Databricks
Python
FastAPI
RAGAS
DeepEval
LangSmith
MLOps
LLMOps
CI/CD
Human-In-The-Loop
Responsible AI
Agile

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