Jobs in Canada

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Added 6 months ago
A
Junior Trader - Quant Engineer (APAC)
Aptos
Ottawa, Ontario
- Full-time
2 to 4 years at a TradFi prop, HFT, or top systematic fund in a quant dev, core dev, or trader-engineer seat
Added 4 months ago
S
Senior Full Stack Engineer, App Runtime
Snowflake
Toronto, Ontario
- $245,250 to $295,250 CAD / year
- Full-time
…curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving…
Added 6 months ago
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Senior Frontend Engineer
Forma.ai
Toronto, Ontario
- $140,000 to $175,000 CAD / year
- Full-time
This role sits within Forma’s ICM Operations platform, spanning areas such as Core Services, Business Intelligence, workflows, automation, APIs, claims management, next-generation…
Added 2 months ago
OT
Senior Software Developer (Java)
Open Text Corporation
Richmond Hill, ON
- Other
…deployment of multi-tenant SaaS applications. We are looking for a Senior Software Developer with a focus on Backend and AI development to join our platform development…
Added 4 months ago
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NetSuite SCM Engineer - Inventory, WMS & Fulfillment
Lime
Remote, Canada
- $102,000 to $143,000 CAD / year
- Full-time
- Remote
We are seeking a strong techno-functional Senior ERP Application Engineer to support the development, customization, and integration of our global Supply Chain Management (SCM) platforms.…
Added 2 months ago
A
Senior AI and Agentic Developer
Accenture
Ottawa, ON · Toronto, ON · Montreal, QC
- Full-time
As an Advanced AI, Large Language Model and Agentic AI Developer/Consultant, you will build production-grade AI applications that transform enterprise workflows. You will translate business…
Added 6 months ago
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Principal Software Engineer - AI
Boomi
Vancouver, British Columbia
- Full-time
Lead the design and implementation of complex, distributed systems using Python and Java, establishing architectural patterns and best practices.
Added 2 months ago
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Senior Test Automation Engineer – AI Testing
Cognizant
Montreal, QC
- Full-time
…comparables. Maîtrise des langages de programmation, notamment Java et Python, ainsi qu’une expertise avérée dans la mise en œuvre de cadres d’automatisation. Expérience concrète en…
Added 2 months ago
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Java Applications Development Lead, Vice President
Citi
Mississauga, ON
- Full-time
Deep, hands-on expertise in Core Java (Java 17+) and the Spring Boot ecosystem (Spring Cloud, Spring Security, Spring Data).
Added 2 months ago
MI
Senior Associate, IT, Application Support Analyst (Core Banking)
MUFG Investor Services
Toronto, ON
- $91,000 to $110,000 CAD / year
- Full-time
Play a key role as part of a global support team covering the IT Core banking applications (Flexcube, FX Market Rates, Appian workflows, SWIFT, MUFG Automated Payment System, MUFG Global…
Added 2 months ago
A
Senior Lead Software Engineer, Back End (Bangkok based, Relocation provided)
Agoda
Toronto, ON
- Full-time
In Agoda’s Back End Engineering department, we build the scalable, fault-tolerant systems and APIs that host our core business logic. Our systems cover all major areas of our business:…
Added 2 months ago
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Principal Data Science and AI Engineer
RBC
Toronto, ON
- Full-time
…technical leadership across multiple squads and domains, advise senior leadership on AI strategy and investment priorities, and be accountable for the measurable business impact of AI…
Added 2 months ago
RB
Senior Full Stack Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
As a senior software developer, you will work as a part of an agile team to develop automation. We are looking for diverse backgrounds and experience, with a deep understanding of software…
Added 2 months ago
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Senior Software Engineer, AI Platform
eBay
Toronto, ON
- Full-time
…operates backend services that power intelligent workflows and developer-facing capabilities, enabling product teams across eBay to move faster while maintaining high quality and…
Added 2 months ago
R
Senior Full Stack Engineer
RBC
Toronto, ON
- Full-time
As a senior software developer, you will work as a part of an agile team to develop automation. We are looking for diverse backgrounds and experience, with a deep understanding of software…
Added 2 months ago
Staff Software Engineer, Fullstack
Fivetran
Toronto, ON
Able to work in-person in our Toronto office 2 days per week
Added 3 months ago
Senior Agentic Software Engineer
Lantern
Edmonton, AB
As a Senior Software Modernization Engineer, you'll work directly with enterprise software engineering organizations to help modernize applications, improve developer productivity,…
Added 4 months ago
M
Senior Test Automation Developer
MNP
Calgary, Alberta
- Full-time
Make an impact with our Technology - Development team as a Senior Test Automation Developer. This diverse team of tech-savvy builders and problem solvers embraces digital transformation,…
Added 4 months ago
S
Senior Software Developer
SOTI
Mississauga, Ontario
- Full-time
…ecosystem - and you’re the one who is making it to happen. As our Senior Software Developer, you’ll own the core services that onboard thousands of devices, while mentoring a small,…
Added 2 months ago
OT
Principal IT Software Developer
Open Text Corporation
Waterloo, ON
- Other
The Principal Developer, IT – System Integrations is a senior technical leader responsible for the design, development, and evolution of enterprise integration solutions across complex,…
Added 4 months ago
C
Principal Software Developer – Data Architect
Caseware
Toronto, Ontario
- Full-time
We are seeking a Principal Software Developer – Data Architect to drive the technical vision and architectural
Added 4 months ago
IL
Senior Software Quality Engineer
Invesco Ltd.
Charlottetown, Prince Edward Island
- $100,000 to $110,000 CAD / year
- Full-time
The Senior Software Quality Engineer leads the design, execution, and oversight of complex test strategies to ensure the delivery of high quality, reliable software products for Invesco’s…
Added 4 months ago
C
DevOps Developer
Caseware
Toronto, Ontario
- $125,000 to $140,000 CAD / year
- Full-time
You will shape the developer experience for teams shipping TypeScript, Angular, NestJS, Java services, serverless workloads, and AWS cloud infrastructure.
Added 3 months ago
CO
Senior Staff Software Engineer - Mobile(Android)
Capital One
Toronto, Ontario
- $202,400 to $231,000 CAD / year
- Full-time
161 Bay Street (93021), Canada, Toronto,Toronto, Ontario,Senior Staff Software Engineer - Mobile(Android)
Added 2 months ago
TI
Software Developer - Android (Canada)
TextNow, Inc.
Waterloo, ON
- $200,400 to $248,000 CAD / year
As a Software Developer on Android, you’ll own the systems, architecture, and tooling behind apps used by millions - operating strategically across mobile, backend, and data, and diving…

Accenture

Senior AI and Agentic Developer

Ottawa, ON, Canada
Toronto, ON, Canada
Montreal, QC, Canada

Role Location Annual Salary Range British Columbia/Ontario/New Brunswick $69,450 to $119,450 · Full-time

Apply on accenture.wd103.myworkdayjobs.com About employer

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Job details

Pay: Role Location Annual Salary Range British Columbia/Ontario/New Brunswick $69,450 to $119,450
Job type: Full-time
Posting language: English
Posted: Sep 10, 2026

Original job description

We Are The beginning of a new era that will reshape work and society has begun. Accenture is stepping boldly into this future with a clear strategy and purpose: to help clients optimize and reinvent their business with Data & Advanced AI - backed by a $3B investment and commitment to our people to do industry-defining work. With over 1,600 professionals dedicated to generative AI, leveraging the depth and experience of more than 40,000 AI and data professionals across the company our Generative AI and LLM Center of Excellence brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem.

You Are:

As an Advanced AI, Large Language Model and Agentic AI Developer/Consultant, you will build production-grade AI applications that transform enterprise workflows. You will translate business and product requirements into secure, scalable software components spanning LLM applications, agent orchestration, enterprise knowledge integration, workflow automation, evaluation, observability and AI Ops. You will integrate and customize LLMs with enterprise systems, APIs and data platforms so clients can move from prototypes to measurable business outcomes.

You will be required to maintain a practical understanding of the evolving Gen AI and agentic AI stack, including model selection, prompt and context engineering, advanced RAG, tool/function calling, MCP/A2A-style integration patterns, orchestration frameworks, guardrails, Responsible AI, security and production operations. You will use that knowledge to build AI-enabled applications and agentic workflows that deliver business value.

Position Responsibilities:

Design, build and support end-to-end Generative AI, LLM and agentic AI applications that transform enterprise workflows for specific business needs, following architecture guidance and delivery standards.
Build tool integrations, workflow actions and API connectors that allow agents to safely retrieve information, execute tasks and hand work back to people when judgment or approval is required.
Create automated tests, evaluations and monitoring for prompts, retrieval quality, agent behavior, security controls, latency, cost and production reliability.
Work in agile, cross-functional delivery teams and communicate technical trade-offs clearly to architects, product owners, business SMEs and client stakeholders.
Leverage, customize and implement Gen AI models, orchestration frameworks, retrieval patterns and agentic design patterns to improve the quality, reliability and adoption of AI products, applications and systems.
Develop LLM-based and agentic applications using open source and cloud frameworks such as LangGraph, Semantic Kernel, LangChain, Pydantic, AutoGen, CrewAI, MCP/A2A-enabled tools or equivalent enterprise AI platforms.
Adapt LLMs and agent workflows to improve performance, accuracy, alignment, reliability, safety and business relevance.
Develop and integrate LLMs, agents and AI application components into products, services, enterprise systems, APIs and workflow platforms.
Implement AI applications that comply with Responsible AI, ethical, privacy, security and legal standards, including data protection, consent, access controls, auditability and human-in-the-loop escalation.
Analyze and evaluate Gen AI and agentic system performance using model, workflow and business outcome metrics, and recommend improvements to quality, safety, latency, cost and user trust.
Contribute to the right technology choices for generative AI and agentic solutions across models, frameworks, cloud services, data platforms, integration layers, observability tools and security controls.
Design and prototype reusable components for LLM and agentic solution patterns, including prompts, context pipelines, memory, tool use, workflow handoffs, human approvals, evaluations and integration adapters.
Build components of LLM and agentic AI solutions that address Responsible AI, privacy, cybersecurity, data governance, auditability, resiliency and regulatory expectations.
Implement LLMOps and AgentOps practices for operationalization, including CI/CD, automated evaluation, prompt and model lifecycle management, monitoring, incident response, cost controls and continuous improvement.
Collaborate with business process owners, product teams, designers, data and platform engineers, security, legal/privacy, risk, change management and operations teams to identify, prioritize and deliver AI-enabled workflow transformation.
Create and maintain clear technical, integration, evaluation and operations documentation that helps cross-functional teams build, troubleshoot, govern and continuously improve AI and agentic solutions.
Apply modern transformer, embedding, retrieval, reasoning and multimodal model capabilities to optimize solution performance, user experience and enterprise workflow outcomes.
Translate advances in transformer architectures and agentic AI into practical software patterns that reshape knowledge work, decision support, service operations and software engineering productivity.
Travel may be required for this role.

What you need:

Minimum of 3 years in AI engineering, machine learning, deep learning and NLP solutions and applications.
Minimum 3 years of experience in designing & deploying AI / Machine Learning solutions using at least one cloud vendor.
Minimum of 2 years of experience in Engineering teams with one or more programming languages and frameworks, such as Python, JavaScript, Java, Spring or GoLang, showcasing a strong command over the technical foundations and mastery of one or more AI Frameworks like LangGraph or Semantic Kernel.
Minimum 1 year of experience architecting and operationalizing LLM-driven and agentic application architecture patterns.
Bachelor’s Degree or completion of college diploma in related field
Demonstrated hands-on experience building Gen AI or agentic AI applications with orchestration frameworks, tool/function calling, RAG, APIs and enterprise integration patterns.
Demonstrated software engineering skills in production environments, including Python or JavaScript/TypeScript, API development, testing, CI/CD, observability and secure coding practices.
Demonstrated ability to collaborate across product, design, data, cloud, security, legal/privacy, business users and operations to deliver AI-enabled workflow change.
Familiarity with enterprise workflow automation, event/message-driven integration, human-in-the-loop design and AI application deployment on cloud platforms.
English is required for this position as this role will regularly interact with English-speaking stakeholders across Canada. Due to the significant high volume of interactions with these English-speaking stakeholders, which is inherent to this position, it is not possible to reorganize the company's activities to avoid this requirement.

Bonus Points if you have

Fine-tuning language models and handling multimodal inputs and outputs.
Experience with agentic workflows, Retrieval-Augmented Generation (RAG), knowledge graphs, vector databases, tool use and data pipelines.
Experience in developing applications for voice, video and text based AI platforms, showcasing versatility and adaptability in diverse environments.
Experience with enterprise workflow transformation, process automation, decision support, contact center/service operations or AI-assisted software engineering use cases.
Experience building evaluation datasets, automated quality checks, guardrails, prompt/version governance, cost optimization and production monitoring for LLM applications.
Experience facilitating demos, discovery sessions or adoption workshops with business users and client stakeholders.

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 $69,450 to $119,450

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services - creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

Apply on accenture.wd103.myworkdayjobs.com About employer

More about this job

Responsibilities

Design, build, and support end-to-end Generative AI and agentic applications to transform enterprise workflows. Collaborate with cross-functional teams to integrate LLMs into enterprise systems while ensuring compliance with Responsible AI and security standards.

Requirements

Requires at least 3 years of experience in AI engineering, machine learning, and NLP, along with proficiency in Python or JavaScript. Candidates must hold a bachelor's degree and demonstrate hands-on experience with orchestration frameworks and cloud-based AI deployment.

Skills

Generative AI
Large Language Models
Agentic AI
Python
JavaScript
LangGraph
Semantic Kernel
LangChain
RAG
API Development
Cloud Computing
Machine Learning
Prompt Engineering
CI/CD
Observability
Software Engineering

Visa sponsorship

Not detected in the job text

Keywords

Generative AI
LLM
Agentic AI
Python
JavaScript
LangGraph
Semantic Kernel
LangChain
Pydantic
AutoGen
CrewAI
RAG
Cloud Computing
Machine Learning
NLP
CI/CD
Observability
Prompt Engineering
API
Responsible AI
Cybersecurity
Data Governance
LLMOps
AgentOps
Software Engineering
Enterprise Integration
Multimodal Models
Vector Databases
Knowledge Graphs
Agile

Seniority

Senior

Tools

LangGraph
Semantic Kernel
LangChain
AutoGen
CrewAI
Pydantic

Languages

English

Fields of study

Related field

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Work requirements

Jobs in Canada