Jobs in Canada

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Added 1 day 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 1 day ago
A
Java Software Engineer
Akkodis
Waterloo, ON
- Contract
The successful consultant will bring strong expertise in Java, Spring Boot, and SQL Server, along with experience in software engineering best practices, application performance…
Added 1 day 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 1 day ago
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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 1 day 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 1 day ago
JV
Senior Software Development Engineer in Test (SDET)
Jobs via eFinancialCareers
Montreal, QC
- Full-time
Mastery of Java, with a focus on automated testing, root cause analysis, and debugging.
Added 1 day 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 1 day ago
A
Senior Java Developer
Akkodis
Waterloo, ON
- Contract
Work Model: Hybrid (4 days per week onsite)
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
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Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
Background in Java/J2EE, containerization (Docker, Kubernetes), and enterprise cloud native architectures.
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
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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
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
DI
Full Stack Developer(Angular)
Dawn InfoTek
Toronto, ON
- Contract
We’re looking for Full Stack Developer to join our team and work on modern, scalable applications across both frontend and backend technologies. If you’re passionate about building…
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
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Senior Java Full Stack Developer – Spring Boot, Angular & Azure Integration
ThoughtStorm
Toronto, ON
- Contract
Experience with Docker, Kubernetes, OpenShift and deploying WAR applications on enterprise Java application servers.
Added 1 day ago
RC
Senior Backend Engineer
Realtek Consulting LLC
Toronto, ON
- Contract
Job Location:Toronto,Ontario- 3 days Per week in office
Added 1 day ago
LI
Back End Developer
LanceSoft, Inc.
Toronto, ON
- $50 CAD / hour
- Contract
…secure, and highly available backend systems using Kotlin, Java, and cloud-native technologies. This role requires a solid understanding of Agile and DevOps practices, CI/CD pipelines,…
Added 2 days ago
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Software Automation Developer
Nokia
Ottawa, ON
- Full-time
We are seeking an experienced Software Developer with Software Architect capabilities to join our engineering team in Ottawa. In this hands‑on technical leadership role you will design and…
Added 2 days ago
AI
Senior AI & DevOps Engineer – Azure, AWS & Generative AI
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Calgary, AB
- Full-time
Knowledge of ARM Templates and familiarity with containers such as OpenShift, Kubernetes, and Docker.
Added 2 days ago
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Technical Consultant ( Java)
Galent
Toronto, ON
- Contract
Added 2 days ago
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Software Engineer, Java
Wiraa
Canada
- $80,000 to $85,000 CAD / year
- Full-time
We are seeking a highly skilled Java Developer to join our dynamic team and contribute to delivering key initiatives. The ideal candidate will have strong design and implementation…
Added 2 days ago
LT
Product Engineer(Full Stack) / Senior ProductEngineer
Lorven Technologies Inc.
Toronto, ON
- Contract
Full-Stack Development: Modern React / Front-EndFrameworks | Core Java / J2EE Back-End | RESTful APIs | Microservices Architecture

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

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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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Work requirements

Jobs in Canada