Jobs in Canada

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Added 12 mins 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 12 mins 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 27 mins ago
LM
Senior Hardware Engineer
Lockheed Martin
Ottawa, ON
- Full-time
Test Plan & Procedure Authoring: Lead the creation of formal Test Plans and Test Procedures. You will be responsible for interpreting MIL-STD-461G and MIL-STD-810 requirements and tailoring…
Added 56 mins ago
D
Lead ML Engineer – Classical ML & GenAI/RAG
Delaplex
Canada
- Full-time
Job Title: Lead ML Engineer – Classical ML & GenAI/RAG
Added 1 hour ago
Principal Software Engineer (BE focused/full-stack)- Words With Friends
Zynga
Toronto, ON
Individual Contributor, working under a Technical Lead / Manager.
Added 1 hour ago
A
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 1 hour ago
A
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 1 hour ago
TI
Technical Architect
Themesoft Inc.
Montreal, QC
- Contract
Lead detailed design of enterprise-level technology projects from inception to production. Supervise configuration, quality assurance, testing, and deployment
Added 1 hour 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 1 hour ago
T
Financial Services - Principal Architect
Talentmatics
Mississauga, ON
- Full-time
This role will drive architectural excellence across complex consulting engagements, define technology standards, lead critical design decisions, and mentor delivery architects and…
Added 2 hours ago
Senior CERT Cybersecurity Analyst
Michelin
Montreal, QC · MQC - MONTREAL OFFICE
To succeed in this role, you must have:
Added 2 hours 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 hours 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 hours 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.

Accenture

AI Native Developer (Agentic / Applied)

Montreal, QC, 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 production monitoring. 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. Candidates need experience with agentic frameworks, LLM APIs, RAG, LLM Ops, cloud-native systems, Python, production operations, client collaboration, and a related bachelor's degree or college diploma.

Skills

Agentic AI Systems
Multi-Agent Orchestration
Retrieval-Augmented Generation
Python
LLM API Integration
LangGraph
CrewAI
AutoGen
Vector Search
LLM Ops
Evaluation Harnesses
Prompt Versioning
Kubernetes
Docker
Microservices
Terraform

Visa sponsorship

Not detected in the job text

Keywords

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

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Jobs in Canada