Jobs in Canada

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Added 1 day ago
R
Senior/Lead API Developer
RBC
Toronto, ON · Vancouver, BC · Calgary, AB
- Full-time
We are seeking a Senior/Lead API Developer to design, develop, and oversee the creation of robust, scalable APIs for our digital products and services; as well as leading the modernization…
Added 1 day ago
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API Platform Architect
RBC
Toronto, ON · Vancouver, BC · Calgary, AB
- Full-time
Apigee: Shared flows, conditional policies, analytics, developer portal customization, API monetization, hybrid/on-prem deployments
Added 1 day ago
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API Platform Architect
Royal Bank of Canada
Toronto, ON
- Full-time
Apigee: Shared flows, conditional policies, analytics, developer portal customization, API monetization, hybrid/on-prem deployments
Added 1 day ago
RB
Senior/Lead API Developer
Royal Bank of Canada
Toronto, ON
- Full-time
We are seeking a Senior/Lead API Developer to design, develop, and oversee the creation of robust, scalable APIs for our digital products and services; as well as leading the modernization…
Added 1 day ago
PG
Senior Full Stack Engineer
Paymentus Group Inc
Richmond Hill, ON
- Full-time
Strong knowledge of OOP principles with 4-7+ years of experience with Java development or other object-oriented programming languages
Added 1 day ago
CI
UI Developer/Angular
COGNITO INC
ON · Ontario, Canada
- Contract
Knowledge of Java and Spring Boot microservices.
Added 1 day ago
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Senior Mobile Full Stack Engineer - [EACF260827]
Hatch
Remote, Canada
- $130,000 to $160,000 CAD / year
- Full-time
- Remote
…critical production features - from designing high-performance Go microservices and data pipelines to crafting slick native mobile…
Added 1 day ago
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Manager, Software Development and Architecture
Moneris
Toronto, ON
- Full-time
…architecture through release and production support. You will shape Java microservices and application programming interface (API) strategy, guide distributed teams, and partner with…
Added 1 day ago
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AI Native Solutions Lead (Agentic / Applied)
Accenture
Montreal, QC
- 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
Montreal, QC
- 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
SI
Java Backend Developer -- Telecom Domain
Spruce InfoTech Inc.
Toronto, ON
- Contract
6+ years of experience in designing and developing enterprise applications using Java 8+, Spring Boot, Microservices, REST/SOAP web services, GraphQL, and Swagger/OpenAPI.
Added 1 day ago
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Full Stack Engineer
TEEMA
Canada
- $120,000 to $140,000 CAD / year
- Full-time
We are looking for an experienced Full Stack AI Developer to build scalable web applications and AI-powered solutions.
Added 1 day ago
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Financial Services - Principal Architect
Talentmatics
Mississauga, ON
- Full-time
Strong knowledge of microservices, event-driven architecture, API-first design, and domain-driven design.
Added 1 day ago
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Software Engineer I
TD
Toronto, ON
- Full-time
4 days per week in the office at a designated TD location
Added 1 day ago
KR
Senior Full Stack & Mobile Application Developer
KTek Resourcing
Toronto, ON · Greater Toronto Area, Canada
- Contract
We are looking for an experienced Full Stack Developer with 6–10 years of experience in developing web and mobile applications across Front-End, Back-End, iOS, and Android platforms. The…
Added 1 day ago
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Sr. Consultant, Java Back End Developer
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
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 1 day 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 1 day 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 1 day ago
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Lead java full Stack Developer
Quantum World Technologies Inc.
Kitchener, ON
- Contract
Design, develop, and support scalable Java-based microservices and REST APIs.
Added 1 day ago
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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
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Java Software Engineer
Akkodis
Waterloo, ON
- Contract
Develop and maintain Java-based applications, REST APIs, and microservices using Spring Boot.
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
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 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…

Accenture

AI Native Developer (Agentic / Applied)

Ottawa, ON, Canada

Full-time

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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