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Added 3 months ago
KC
IT Manager
Kepler Communications
Toronto, ON
- Full-time
Our mission is to provide real-time on-orbit connectivity for critical missions, enabling a new era of data-driven intelligence and innovation. With 33 satellites launched to date, Kepler…
Added 3 months ago
C
Application Support Analyst - Assistant Vice President
Citi
Mississauga, ON
- Full-time
Citi's Securities Services division is looking for a Senior Production Support Analyst to join the Data & Client Platforms (DCP) Production Support team - a globally distributed, 24×6…
Added 2 months ago
Staff Design Verification Engineer, AI HW
Tenstorrent
Toronto, ON
Proficient in Linux environments with Python, or Bash scripting for automate builds, parse logs, manage CI pipelines.
Added 3 months ago
TR
Manager of Research Engineering, TR Labs
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
- Full-time
…R&D investment? Thomson Reuters Labs is seeking a hands-on engineering manager to guide the delivery of cutting-edge AI solutions from concept to…
Added 3 months ago
Q
AI/Machine Learning Engineer (Embedded Systems, Inference Efficiency)
Qualcomm
Markham, ON
- Full-time
Engineering Group, Engineering Group > Machine Learning Engineering
Added 3 months ago
M
Principal Data Scientist
Mastercard
Toronto, ON
- Full-time
Partner with product, engineering, and business leaders to shape requirements and deliver data-driven capabilities that improve customer experience and reduce disputes.
Added 2 months ago
Senior Software Developer
Bentley Systems
Vancouver, BC · Toronto, ON
A Senior Software Developer, Subsurface Information Management is responsible for the end-to-end design, development, and release of high-performance platform services and APIs that enable…
Added 2 months ago
Software Developer (Research)
DRW
Montreal, QC
Strong engineering fundamentals in Python, Go, or Rust. A preference, not a gate - deep systems experience in another serious language transfers.
Added 2 months ago
E
Technical Lead / Senior Developer - Software Development
EY
Victoria, BC
- Full-time
…scalable enterprise applications. This role combines deep hands-on engineering expertise with solution leadership, team mentorship, and strong client engagement within a consulting…
Added 4 months ago
TN
Senior Cloud Engineer
The Nationwide Group
Markham, Ontario
- $130,000 to $145,000 CAD / year
- Full-time
…infrastructure to support TNG’s digital operations. Blending cloud engineering with DevOps practices, this role plays a critical part in driving cloud strategy, automating infrastructure…
Added 4 months ago
GM
Développeur(se) d'automatisation et d'infrastructure - Infrastructure & Automation Developer
Gameloft Montreal
Montreal, Quebec
- Full-time
We are looking for a talented FinOps Developer to join our team. This role focuses on automating the retrieval, validation, and reporting of infrastructure, software, database, and…
Added 4 months ago
C
Senior Data Engineer
ClickUp
Canada
- Full-time
We're looking for a Staff Data Engineer to own the architecture and technical vision of our data platform. This is a high-leverage, high-autonomy role where you'll set the technical bar for…
Added 4 months ago
S
Agentic AI Architect - Intelligence Engineering (Toronto)
Slalom
Toronto, Ontario · Greater Toronto Area, Canada
- Full-time
…quality, resilience, and purpose. By blending design, product engineering, analytics, and automation, we build the custom-built software and data products of…
Added 4 months ago
DC
Software QA - Intermediate (Cloud Platform)
Delta Controls
Surrey, British Columbia
- Full-time
…lifecycle of intelligent building systems through a shared data, workflow, and programming foundation across Building Automation Systems (BAS), lighting, security, and…
Added 4 months ago
KC
Satellite Systems Designer - Analysis & Support (Contingent)
Kepler Communications Inc.
Toronto, Ontario
- Full-time
Experience performing technical analysis using tools such as Python, MATLAB, STK, or equivalent engineering analysis tools
Added 4 months ago
KC
Senior Satellite Systems Designer - Platform Architect (Contingent)
Kepler Communications Inc.
Toronto, Ontario
- Full-time
Our mission is to provide real-time Internet access for space-based assets, enabling a new era of data-driven exploration and innovation. With 33 satellites launched to date, Kepler…
Added 4 months ago
Q
Connectivity Systems Engineer, Staff
Qualcomm
Toronto, Ontario
- Full-time
…of 100+Gbps/lane electrical and optical links using Matlab, Python and/or other programming languages. They'll also be able to correlate lab measurements with a system model and improve…
Added 3 months ago
HT
Research Engineer - AI Data Security
Huawei Technologies Canada Co., Ltd.
Markham, ON · Waterloo, ON
- Contract
Deep technical insight into AI-specific security engineering and protection mechanisms, with a solid track record in at least one of the following domains: safety alignment, safety…
Added 3 months ago
HT
Intern Researcher - AI Data Security
Huawei Technologies Canada Co., Ltd.
Waterloo, ON
- Internship
Deep technical insight into AI-specific security engineering and protection mechanisms, with a solid track record in at least one of the following domains: safety alignment, safety…
Added 2 months ago
TT
Product Application Engineer - Building Automation
trane technologies
Montreal, Quebec
- Full-time
…combines technical expertise with advanced analytics to create data-driven solutions that add real value for customers, communities, and the planet. Whether you're advancing AI in HVAC or…
Added 3 months ago
L
Customer Success Application Engineer
Litmus
Remote, Canada
- Full-time
- Remote
Litmus is building the data foundation that powers industrial AI.
Added 2 months ago
N
Electrical Engineer - Kitchener, Ontario
Nicoya
Kitchener, ON
- Full-time
Familiarity with embedded software development experience (C/C++ on microcontrollers) and Python scripting for test automation, data acquisition, and hardware bring-up
Added 1 month ago
Senior Manager, Unsecured Lending Models
Scotiabank
Toronto, ON
…The world is changing faster than ever and so are we! “Big data”, “machine learning” and “AI” are not just buzzwords; they are an ever-increasing part of our daily life. We have decades of…
Added 2 months ago
Senior Software Engineer, AI Entries
Lyft
Toronto, ON
…engineer at Lyft, you'll collaborate with teams like product, data science, analytics, and operations on code that empower us to iterate quickly, while focusing on delighting our passengers…
Added 2 months ago
TI
Product Application Engineer - Building Automation
Trane Italia
Canada
- Full-time
…combines technical expertise with advanced analytics to create data-driven solutions that add real value for customers, communities, and the planet. Whether you're advancing AI in HVAC or…

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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