Jobs in Canada

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Added 2 days ago
AG
Marketing Science Lead
Adelphi Group
Toronto, ON
- Full-time
As the Marketing Science Lead, you will champion data science and measurement practices with everyone: across multidisciplinary agency teams, client teams, and anyone else you come across…
Added 2 days ago
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Team Lead, Market, Rate and Liquidity Risk Modeling
Desjardins
Montreal, QC
- Full-time
…Division as well as the Market Risk and Analytics Division. You lead a team of professionals specializing in quantitative modelling applied to financial risk management. You play a key role…
Added 2 days ago
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Hardware Design Engineer (Sustaining Engineering)
Teledyne Technologies Incorporated
Waterloo, ON
- Full-time
Lead component obsolescence and alternate component qualification activities.
Added 2 days ago
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AI Native Solutions Lead (Agentic / Applied)
Accenture
Vancouver, BC
- Full-time
…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…
Added 2 days ago
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Enterprise Systems Analyst
Litcom Consulting Inc.
Mississauga, ON
- Full-time
Act as a key technical contributor or lead on system implementation and upgrade projects, translating complex business requirements into sustainable, company-wide solutions.
Added 2 days ago
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Data and Analytics Technical Manager
RSM US LLP
Toronto, ON · Calgary, AB
- Full-time
Lead overall project teams and/or technical teams through the definition and implementation of data and analytics solutions.
Added 2 days ago
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Senior IT Support Specialist
TextNow, Inc.
Waterloo, ON
- $85,000 to $122,000 CAD / year
You’ll collaborate closely with IT, Security, Engineering, and People Operations teams to resolve escalations, lead projects, and continuously improve the employee technology experience.
Added 2 days ago
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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 2 days 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 2 days ago
Principal Backend Programmer (Developer Platform)
Epic Games
Montreal, QC
You'll be the senior technical voice across Epic's developer platform: the source control, CI/CD, build, artifact, database and cloud infrastructure that teams across Epic use to build and…
Added 2 days ago
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Lead ML Engineer – Classical ML & GenAI/RAG
Delaplex
Canada
- Full-time
Job Title: Lead ML Engineer – Classical ML & GenAI/RAG
Added 2 days ago
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Principal Software Engineer (BE focused/full-stack)- Words With Friends
Zynga
Toronto, ON
- $133,900 to $183,900 USD / year
Individual Contributor, working under a Technical Lead / Manager.
Added 2 days ago
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AI Native Solutions Lead (Agentic / Applied)
Accenture
Montreal, QC
- Full-time
…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…
Added 2 days ago
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AI Native Developer (Agentic / Applied)
Accenture
Montreal, QC
- Full-time
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…
Added 2 days ago
RM
Senior Analyst, Financial Planning & Analysis
RFA Mortgage Corporation
Toronto, ON
- Full-time
Lead the development of content updates including new KPI metrics and updated departmental views.
Added 2 days ago
Senior Analyst, Financial Planning & Analysis - RFA Mortgage Corporation
RFA
Toronto, ON
Lead the development of content updates including new KPI metrics and updated departmental views.
Added 2 days ago
AM
Principal Software Development Engineer
Advanced Micro Devices, Inc
Waterloo, ON
- Full-time
AMD is looking for a strategic software engineering lead who is passionate about improving the performance of machine learning models on AMD GPUs. You will be a member of a core team of…
Added 2 days ago
Advanced DevOps Engineer - EA SPORTS™ TECHNOLOGY
Electronic Arts
Vancouver, BC
Automation & Innovation: Lead the development of productivity-enhancing tools and evaluate new technologies to improve team efficiency and platform capabilities.
Added 2 days ago
Lead Consultant - Data Architecture & Engineering
GHD Group Pty Ltd
Toronto, ON
GHD is seeking a Lead Consultant - Data Architecture & Engineering to join our Americas Business Advisory practice. This role is a senior seller‑doer position for a technically deep…
Added 2 days ago
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Oliver Wyman - Sr. Analyst, Associate Team Lead; Team Lead; Director-Data and Analytics (DNA) - Toronto
Oliver Wyman Group
Toronto, ON
- Other
…these complex issues. Together, we create breakthroughs that lead to remarkable…
Added 2 days ago
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Data Architect - Calgary
Slalom
Calgary, AB
- Full-time
Lead architecture and technical design efforts from discovery through implementation.
Added 2 days ago
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Senior Consultant, Business Systems Analysis
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 2 days ago
A
AI Native Solutions Lead (Agentic / Applied)
Accenture
Ottawa, ON
- Full-time
…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…
Added 2 days ago
A
AI Native Developer (Agentic / Applied)
Accenture
Ottawa, ON
- Full-time
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…
Added 2 days ago
LT
QE LEAD / SDET
Lorven Technologies Inc.
Toronto, ON
- Contract
We are looking for a hands-on QE Lead / SDET to drive quality engineering initiatives across enterprise applications, APIs, and digital platforms. 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