Jobs in Canada

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Added 1 day ago
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Best Senior Backend Engineera
Kombo
Toronto, ON
- Full-time
- On-site
Architect scalable microservices and distributed systems that handle high-volume transactions
Added 1 day ago
QA
Architect - Software Developer
Quantiphi Analytics Canada Limited
Fredericton, NB
- Full-time
Quantiphi is seeking a seasoned Architect – Software Developer to lead the design and development of scalable, high-performance web applications. This role requires deep expertise in Java,…
Added 1 day ago
WC
Developer Senior Java / C++
WEPOINT Canada Développement
Montréal, QC
- Full-time
- Hybrid
Wepoint is the architect of major transformations for businesses and public sector organizations.
Added 1 day ago
GS
Software Test Automation Architect
Guidewire Software, Inc. (US)
Toronto, ON
- Full-time
- Hybrid
As a Software Test Automation Architect, you will own the vision, design, and evolution of our test automation frameworks and quality tooling for Guidewire Cloud and our AI-augmented…
Added 1 day ago
MS
Manager, Smart Factory Solutions
Magna Services of America, Inc.
Canada
- Full-time
Collaborate with cross-functional teams to brainstorm, architect, and implement innovative Industry 4.0 solutions.
Added 1 day ago
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DevOps Cloud Engineer
NCND NASDAQ Canada, Inc
Toronto, ON
- Full-time
Architect secure and resilient network solutions that support business continuity and disaster recovery objectives.
Added 1 day ago
CI
Cloud Platform Engineer
CI Investments Inc.
York, ON
- Full-time
Experience with multiple programming languages such as Java, Python and PHP
Added 1 day ago
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Technical Lead
ShyftLabs
Toronto, ON
- Full-time
- Hybrid
-Hybrid Flexibility: Enjoy a hybrid model with 4 days per week in our Toronto office
Added 1 day ago
Senior Software Engineer
Greenhouse
ON
A pragmatic architect – you evaluate trade-offs between performance, relevance, maintainability, and cost, choosing patterns that simplify complexity for the long term
Added 1 day ago
Senior Software Engineer
Greenhouse
BC
A pragmatic architect – you evaluate trade-offs between performance, relevance, maintainability, and cost, choosing patterns that simplify complexity for the long term
Added 1 day ago
Solutions Engineer
AfterShip
Toronto, ON
Exposure to backend/frontend technologies (e.g., Node.js, Java, React) and ability to collaborate with engineering
Added 1 day ago
AC
RQ11847 - Technology Architect - Senior
A.T. Consulting & Recruiting Inc.
Toronto, ON
- Contract
Experience Cloud (Azure or AWS), Cyber Security, Enterprise and Solution Architecture, Java, Microsoft .Net,
Added 1 day ago
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Digital Customer Engineer
Teleperformance
Toronto, ON · TPCA Toronto
- $75,000 CAD / year
- Full-time
Development/Scripting/Automation: Proficiency in web application integration (REST, SOAP, Python, Java, JavaScript, PHP).
Added 1 day ago
Solutions Architect - DXP
Sobeys Capital Incorporated or a Franchise/Affiliate / ou une franchise/société affiliée
Mississauga, ON
Must have hands-on code development & delivery experience in mobile apps and websites
Added 1 day ago
AC
Principal Technical Lead
Air Canada
Toronto, ON
- Full-time
15+ years of experience in software engineering, with a strong track record as a senior engineer, tech lead, solution architect or principal-level contributor.
Added 2 days ago
NB
Chief Application Developer - Securities Lending IT
National Bank of Canada
Toronto, ON
- Full-time
Develop and maintain applications and scripts using Python, Java, Unix, and Linux technologies.
Added 2 days ago
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Software Engineer III - IVR
TD
Toronto, ON
- Full-time
In conjunction with the Solution Architect, assist the Application Owner, Development Manager and Technical Delivery Lead by providing effort estimates for new projects and initiatives
Added 2 days ago
T
Pega LSA with – Constellation Experience
Tekshapers
Toronto, ON
- Contract
Proven experience acting as the Lead Architect on at least 2–3 full lifecycle enterprise Pega implementations.
Added 2 days ago
QW
Pega Lead System Architect
Quantum World Technologies Inc.
Canada
- Contract
We are looking for an experienced Pega Lead System Architect (LSA) with strong expertise in Enterprise Business Process Management (BPM), workflow automation, and Pega application…
Added 2 days ago
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Pega Lead System Architect
Tekshapers
Toronto, ON
- Contract
We are looking for an experienced Pega Lead System Architect (LSA) with strong expertise in Enterprise BPM and Workflow Automation. The ideal candidate should have hands-on Pega development…
Added 2 days ago
PC
Salesforce Technical Manager
Pwc Canada
Toronto, ON · Vancouver, BC
- Full-time
Lead technical delivery teams of 5-10 developers on complex Salesforce implementations and architect end-to-end solutions - from data model design to integration patterns to AI agent…
Added 2 days ago
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AI Native Solutions Lead (Agentic / Applied)
Accenture
Calgary, AB
- Full-time
Architect and govern production-grade agentic systems at enterprise scale: multi-agent orchestration across complex environments, RAG pipelines, policy-based routing, memory management, and…
Added 2 days ago
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Software Architect - AI Accelerated Engineering Lead
Slalom
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Job Title: Architect or Sr. Architect - Accelerated Engineering (For Vacant Role)
Added 2 days ago
VS
Technical Architect - Azure + .NET + REST API + onPrem & Cloud connections using Mulesoft + enterprise integration experience Toronto, Ontario(Onsite)
Verito Solutions Inc
Toronto, ON
- Contract
Technical Architect - Azure + .NET + REST API + onPrem & Cloud connections using Mulesoft + enterprise integration experience
Added 3 days ago
A
AI Native Solutions Lead (Agentic / Applied)
Accenture
Vancouver, BC
- Full-time
Architect and govern production-grade agentic systems at enterprise scale: multi-agent orchestration across complex environments, RAG pipelines, policy-based routing, memory management, and…

Accenture

AI Native Solutions Lead (Agentic / Applied)

Vancouver, BC, Canada

Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Dec 5, 2026
Posting language: English
Posted: Nov 5, 2026

Original job description

Role Description

You build the systems that actually make AI work in enterprise environments, not demos, not prototypes that stall after a pilot, but production agentic architectures running inside real client organizations. The difference between an AI Solutions Lead and what we are looking for is straightforward: you have shipped a multi-agent system in production, you have owned the eval harness, and you know what happens when your agent fails at 2am because you have lived it.

As an AI Solutions Lead (Agentic/Applied), you will design, build, and deploy production-grade agentic AI systems across the full enterprise technology stack. You will work directly with client development teams, lead technical design sessions, and build reusable patterns and accelerators that scale beyond individual engagements.

This role sits at the heart of the AI development talent market - demand is growing faster than supply and will continue to do so. We offer what no single product company can: breadth across every industry, every enterprise technology stack, and every level of organizational complexity, combined with vendor fellowship access inside Anthropic, OpenAI, Microsoft, and Google technical teams and a direct pathway to the Forward Deployed Solutions Lead program.

Key Responsibilities

Architect and govern production-grade agentic systems at enterprise scale: multi-agent orchestration across complex environments, RAG pipelines, policy-based routing, memory management, and program-level lifecycle observability

Define RAG pipeline standards across engagements: establish chunking and embedding strategies, set quality benchmarks, and ensure metric-backed tradeoff decisions are documented and transferable

Set multi-LLM integration standards: vendor-agnostic architecture by default, fallback routing and cost governance as standard design practice across providers including OpenAI, Anthropic, Vertex AI, and open-source models

Own LLM Ops at program scale: eval strategy, prompt governance, observability tooling standards, safety monitoring and cost controls across multiple concurrent systems

Lead client development engagements at senior level - facilitate architecture design sessions, lead proof-of-concept delivery, and drive alignment between client technology leadership and delivery teams

Shape and publish reusable patterns, accelerators, and development standards that scale across the practice and reduce ramp-up time on new client engagements

Own the measurement framework for agentic system quality: define accuracy, latency, safety, and cost metrics; present program-level AI impact in business terms to senior client stakeholders

Basic Qualifications

Required qualifications

Bachelor’s degree or college diploma in a related field.

10+ years of software development experience in production environments

Minimum of 1 year of experience designing and deploying agentic AI solutions in production environments

Experience with agentic orchestration frameworks such as LangGraph, CrewAI, AutoGen, or equivalent

Experience integrating and calling LLM APIs (OpenAI, Anthropic, Vertex AI) in production systems, including provider abstraction, token management, and cost/latency considerations

Experience building and operating RAG pipelines, including embeddings, chunking strategies, vector databases, and context design

Experience with LLM Ops practices, including eval harness design, prompt versioning, and production observability

Experience with cloud-native development, including Kubernetes, Docker, microservices, serverless, CI/CD, and infrastructure as code (Terraform or Helm)

Proficiency in Python; experience with Java or equivalent backend language acceptable

Experience debugging and monitoring production systems

10 years of experience leading software development teams, including delivery oversight, workstream allocation, and development of team members

Experience defining and governing enterprise-scale agentic architectures across multiple systems

Experience setting standards for RAG pipelines, LLM integration, or LLM Ops practices across multiple deployments

Experience leading client-facing technical engagements, including architecture sessions or proof-of-concept delivery

Experience defining and measuring AI system performance metrics (accuracy, latency, safety, cost)

English is required for this position as this role will be aligned to multi-national teams where English is the common language across our North America Market. Due to the significant high volume of interactions with these English-speaking multi-national teams, which is inherent to this position, it is not possible to reorganize the company's activities to avoid this requirement.

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location,

role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation, based on full-time

employment, for roles that may be hired as set forth below.

The recruiting efforts for this position are intended to fill a brand new position.

The base pay range shown below is intended as a guideline to reflect the majority of offers for this role.

It does not represent a maximum limit - in some cases, actual compensation may exceed the range where appropriate.

Information on benefits is here.

Role Location Annual Salary Range

British Columbia/Ontario/New Brunswick $142,050 to $292,000

and

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More about this job

Responsibilities

Architect, govern, and deploy production-grade agentic AI systems at enterprise scale, including multi-agent orchestration, RAG pipelines, multi-LLM integrations, and LLM operations. Lead client technical engagements, establish quality and performance standards, and develop reusable patterns while communicating AI impact to senior stakeholders.

Requirements

Requires a related bachelor's degree or college diploma, at least 10 years of production software development experience, and at least one year designing and deploying agentic AI in production. Candidates must also have extensive software team leadership experience, expertise in agentic frameworks, RAG, LLM operations, cloud-native development, Python, and client-facing technical leadership.

Skills

Agentic AI Architecture
Multi-Agent Orchestration
Retrieval-Augmented Generation
LLM Integration
LLM Operations
Evaluation Harness Design
Prompt Governance
Production Observability
Python
Cloud-Native Development
Kubernetes
Docker
Microservices
CI/CD
Terraform
Technical Leadership

Visa sponsorship

Not detected in the job text

Keywords

Agentic AI
Multi-Agent Systems
LangGraph
CrewAI
AutoGen
RAG
Embeddings
Chunking Strategies
Vector Databases
OpenAI
Anthropic
Vertex AI
LLM APIs
LLM Operations
Evaluation Harness
Prompt Versioning
Production Observability
Safety Monitoring
Cost Governance
Python
Java
Kubernetes
Docker
Microservices
Serverless
CI/CD
Terraform
Helm
Infrastructure as Code
Cloud-Native Development

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Jobs in Canada