Jobs in Canada

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Added 21 hours ago
Lead Full Stack Engineer
Scotiabank
Toronto, ON
Drive the development of workflow orchestration services through microservices-based architectures, Backend-for-Frontend (BFF) layers, and service-oriented solutions that integrate with…
Added 22 hours ago
JG
DevOps Engineer With Development Background - 8 Years
J2B Global LLC
Mississauga, ON
- Full-time
…application support. The role requires the ability to handle basic Java and configuration fixes independently rather than relying on the development team for routine…
Added 22 hours ago
AI
Full Stack Digital Developer – Java, Springboot, Rest API, Microservices
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Kitchener, ON
- Full-time
Location: Hybrid (2 days per week in office)
Added 22 hours ago
QW
Lead java full Stack Developer
Quantum World Technologies Inc.
Kitchener, ON
- Contract
Design, develop, and support scalable Java-based microservices and REST APIs.
Added 22 hours ago
AG
Senior Application Architect – AI & Azure Cloud
Axiom Global Technologies
Toronto, ON
- Contract
Design cloud-native applications using React.js, TypeScript, Java Spring Boot, and Node.js.
Added 22 hours ago
A
Java Software Engineer
Akkodis
Waterloo, ON
- Contract
Develop and maintain Java-based applications, REST APIs, and microservices using Spring Boot.
Added 23 hours ago
A
AI Native Solutions Lead (Agentic / Applied)
Accenture
Ottawa, ON
- Full-time
Experience with cloud-native development, including Kubernetes, Docker, microservices, serverless, CI/CD, and infrastructure as code (Terraform or Helm)
Added 23 hours ago
A
AI Native Developer (Agentic / Applied)
Accenture
Ottawa, ON
- Full-time
…inside real client organizations. The difference between an AI Developer and what we are looking for is straightforward: you have shipped a multi-agent system in production, you have owned…
Added 23 hours ago
AI
Lead Java Developer
Aptino, Inc.
Canada
- Contract
We are looking for an experienced Senior / Lead Java Developer to lead the design, development, and deployment of scalable Java-based applications. The ideal candidate should have strong…
Added 23 hours ago
AI
Application Architect
Aptino, Inc.
Toronto, ON
- $55 to $60 CAD / hour
- Contract
Design applications using React.js, TypeScript, Java Spring Boot, Node.js, REST APIs, and microservices.
Added 23 hours ago
A
Senior Java Developer
Akkodis
Waterloo, ON
- Contract
Work Model: Hybrid (4 days per week onsite)
Added 23 hours ago
C
Senior Consultant, Application Development
CIBC
Toronto, ON
- Full-time
You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit
Added 1 day ago
SM
RQ11874 – Specialized IT Consultant – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Work Arrangement: Onsite – 5 Days per Week
Added 1 day ago
A
AI Native Solutions Lead (Agentic / Applied)
Accenture
Toronto, ON
- Full-time
Experience with cloud-native development, including Kubernetes, Docker, microservices, serverless, CI/CD, and infrastructure as code (Terraform or Helm)
Added 1 day ago
TY
Technical Architect
Test Yantra
Toronto, ON
- Full-time
5+ years of experience in working with teams building microservices
Added 1 day ago
SM
RQ11874 – Specialized IT Consultant – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Work Arrangement: Onsite – 5 Days per Week
Added 1 day ago
CC
Senior Full-stack Java Developer- RQ11874 (CANADA) - Onsite
Computer Consultants International, Inc.
Toronto, ON
- Contract
CCI is hiring a Senior Full-stack Java Developer. This role centers on designing, building and deploying secure, scalable Java/Spring Boot REST APIs and independent microservices. It covers…
Added 1 day ago
K
DevOps Engineer
Kablamo
Toronto, ON
- Full-time
Coding/scripting skills in one or more of (Javascript, Ruby, Java, Python, Golang, Bash)
Added 1 day ago
SI
Java Developer
Spait Infotech
Canada
- Full-time
Develop, test, and maintain Java-based applications.
Added 1 day ago
V
Senior Software Engineer
Veem
Ottawa, ON
- Full-time
6+ years of professional backend development, with strong recent Java experience in production systems.
Added 1 day ago
SC
Software Developer - Micro-Integration Platform
Solace Corporation
Ottawa, ON
- Full-time
The Event Integration Platform team is looking for an Integration Software Developer to help build and evolve the Micro-Integration Platform, the various components and libraries used to…
Added 1 day ago
QW
Senior Full Stack Developer
Quantum World Technologies Inc.
Montreal, QC
- $100,000 to $125,000 CAD / year
- Full-time
Design, develop, and maintain scalable, secure, and efficient backend services using Java, including RESTful APIs and microservices.
Added 1 day ago
M
Senior Software Engineer-Data Delivery Platform
Morningstar
Toronto, ON
- Full-time
Design and implement cloud-native microservices and APIs that support millions of data requests while maintaining high availability and performance. Participate in architectural design and…
Added 1 day ago
AG
Lead Java Developer
Axiom Global Technologies
Canada
- Contract
We are seeking an experienced Lead Java Developer to lead the design, development, and maintenance of scalable, high-performance Java-based applications.
Added 1 day ago
QW
Senior Full Stack Developer
Quantum World Technologies Inc.
Montreal, QC
- $100,000 to $125,000 CAD / year
- Full-time
Design, develop, and maintain scalable, secure, and efficient backend services using Java, including RESTful APIs and microservices.

Accenture

AI Native Developer (Agentic / Applied)

Ottawa, ON, Canada

Full-time

Apply on LinkedIn About employer

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Job details

Job type: Full-time
Apply by: Dec 4, 2026
Posting language: English
Posted: Nov 4, 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 Developer 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 Developer (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 Developer program.

Key Responsibilities

Design and build production-grade agentic systems end-to-end: multi-agent orchestration, RAG pipelines, policy-based routing, tool invocation, memory management, and lifecycle observability

Build and own RAG pipelines: embeddings, chunking strategy, vector search, context window design and tuning against real quality targets

Integrate and abstract across multiple LLM providers - OpenAI, Anthropic, Vertex AI, and open-source models - with fallback routing, token, cost, and latency management

Implement LLM Ops in production: eval harnesses with real quality metrics, prompt versioning, observability tooling (LangSmith, Braintrust, or equivalent), cost and safety monitoring

Embed directly with client development teams to design, prototype, and deploy agentic solutions - workshops, proofs of concept, code-with sessions, and architecture walkthroughs

Build reusable patterns, accelerators, and playbooks that scale beyond the individual client engagement and enable the next one to start faster

Define and use metrics to measure agent accuracy, latency, safety, and cost-effectiveness; present findings and recommendations to client stakeholders in business terms

Basic Qualifications

Required qualifications

7+ 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, including 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 optimization

Experience building and operating RAG pipelines, including embeddings, chunking strategy, vector search, and context design

Experience implementing LLM Ops practices, including eval harness design, prompt versioning, and observability tooling

Experience with cloud-native systems, including Kubernetes, Docker, microservices, serverless architectures, 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

Experience deploying multiple production agentic AI systems

Experience defining or standardizing RAG, LLM integration, or LLM Ops practices across projects

Experience working directly with client development teams in collaborative development environments

Experience building reusable frameworks, accelerators, or delivery playbooks

Experience defining and tracking AI system performance metrics such as accuracy, latency, safety, and cost

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

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 $100,300 to $216,700

and

Apply on LinkedIn About employer

More about this job

Responsibilities

Design, build, and deploy production-grade agentic AI systems, including multi-agent orchestration, RAG pipelines, provider integrations, and LLM operations. Work with client development teams to deliver solutions, define performance metrics, and create reusable patterns, accelerators, and playbooks.

Requirements

Requires at least 7 years of production software development experience, including at least 1 year designing and deploying agentic AI solutions in production, plus experience with orchestration frameworks, LLM APIs, RAG, and LLM operations. Candidates need Python proficiency, cloud-native and production operations experience, client collaboration skills, and a related bachelor's degree or college diploma.

Skills

Agentic AI Systems
Multi-Agent Orchestration
Retrieval-Augmented Generation
Python
LLM API Integration
LLM Operations
Evaluation Harnesses
Prompt Versioning
Vector Search
Kubernetes
Docker
Microservices
CI/CD
Terraform
Production Monitoring
Client Collaboration

Visa sponsorship

Not detected in the job text

Keywords

Agentic AI
Multi-Agent Systems
LangGraph
CrewAI
AutoGen
RAG
Embeddings
Chunking Strategy
Vector Search
OpenAI
Anthropic
Vertex AI
LLM Operations
Evaluation Harness
Prompt Versioning
LangSmith
Braintrust
Python
Kubernetes
Docker
Microservices
Serverless Architecture
CI/CD
Terraform
Helm
Observability
Token Management
Cost Optimization
Latency Optimization
Infrastructure as Code

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Jobs in Canada