Jobs in Canada

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Added 1 day ago
T
Senior Manager, Software Development (Mobile Application)
Tangerine
Toronto, ON
- Full-time
Reporting to the Head of Engineering, Wealth. The Senior Manager of Engineering is responsible for providing leadership and direction on end-to-end technology design and implementation.…
Added 1 day ago
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Consultant
Virtusa
Toronto, ON
- Full-time
Job Summary: We are seeking an experienced Senior Full Stack Developer with a strong background in building scalable, secure, and high-performance enterprise applications. The ideal…
Added 1 day ago
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AI Native Solutions Lead (Agentic / Applied)
Accenture
Calgary, AB
- Full-time
Lead client development engagements at senior level - facilitate architecture design sessions, lead proof-of-concept delivery, and drive alignment between client technology leadership and…
Added 1 day ago
BC
Senior Engineering Leader
BrainRidge Consulting
Toronto, ON
- Full-time
We are seeking a hands-on and delivery-focused Senior Engineering Leader to lead engineering teams building and modernizing backend banking systems for one of our major financial services…
Added 1 day ago
IC
AppOps, Senior Specialist
Interac Corp.
Toronto, ON · Interac Corp. Head Office
- Full-time
The job role requires to work in rotating shifts to provide 24x7 Support coverage
Added 1 day ago
Senior Backend Product Engineer, Consumer
HelloFresh
Toronto, ON
This means a minimum of 2 days in office per week, with most teams in office between 2-3 days a week
Added 1 day ago
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AI Native Solutions Lead (Agentic / Applied)
Accenture
Vancouver, BC
- Full-time
Lead client development engagements at senior level - facilitate architecture design sessions, lead proof-of-concept delivery, and drive alignment between client technology leadership and…
Added 1 day ago
LM
Senior Software Engineer - Product Lead
Lockheed Martin
Ottawa, ON
- Full-time
The Senior Software Engineer is a technical leader and subject matter expert who combines hands-on software development with team leadership and mentorship. In this role, the successful…
Added 1 day 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 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
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Senior Mobile Full Stack Engineer - [EACF260827]
Hatch
Remote, Canada
- $130,000 to $160,000 CAD / year
- Full-time
- Remote
We are looking for a hands-on Senior Mobile Full Stack Engineer who has deeply mastered both backend systems and native mobile development. You will take end-to-end ownership of critical…
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
Lead client development engagements at senior level - facilitate architecture design sessions, lead proof-of-concept delivery, and drive alignment between client technology leadership and…
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
…teams across the Bank, regulatory and compliance groups, and senior…
Added 1 day ago
A
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
Lead client development engagements at senior level - facilitate architecture design sessions, lead proof-of-concept delivery, and drive alignment between client technology leadership and…
Added 1 day ago
A
Senior Java Developer
Akkodis
Waterloo, ON
- Contract
Work Model: Hybrid (4 days per week onsite)
Added 1 day ago
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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
Lead client development engagements at senior level - facilitate architecture design sessions, lead proof-of-concept delivery, and drive alignment between client technology leadership and…
Added 2 days ago
SM
RQ11874 – Specialized IT Consultant – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Work Arrangement: Onsite – 5 Days per Week
Added 2 days 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 2 days 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)

Accenture

AI Native Solutions Lead (Agentic / Applied)

Toronto, ON, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Dec 5, 2026
Posting language: English
Posted: Nov 5, 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 Solutions Lead 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 Solutions Lead (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 Solutions Lead program.

Key Responsibilities

Architect and govern production-grade agentic systems at enterprise scale: multi-agent orchestration across complex environments, RAG pipelines, policy-based routing, memory management, and program-level lifecycle observability

Define RAG pipeline standards across engagements: establish chunking and embedding strategies, set quality benchmarks, and ensure metric-backed tradeoff decisions are documented and transferable

Set multi-LLM integration standards: vendor-agnostic architecture by default, fallback routing and cost governance as standard design practice across providers including OpenAI, Anthropic, Vertex AI, and open-source models

Own LLM Ops at program scale: eval strategy, prompt governance, observability tooling standards, safety monitoring and cost controls across multiple concurrent systems

Lead client development engagements at senior level - facilitate architecture design sessions, lead proof-of-concept delivery, and drive alignment between client technology leadership and delivery teams

Shape and publish reusable patterns, accelerators, and development standards that scale across the practice and reduce ramp-up time on new client engagements

Own the measurement framework for agentic system quality: define accuracy, latency, safety, and cost metrics; present program-level AI impact in business terms to senior client stakeholders

Basic Qualifications

Required qualifications

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

10+ 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 such as 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 considerations

Experience building and operating RAG pipelines, including embeddings, chunking strategies, vector databases, and context design

Experience with LLM Ops practices, including eval harness design, prompt versioning, and production observability

Experience with cloud-native development, including Kubernetes, Docker, microservices, serverless, 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

10 years of experience leading software development teams, including delivery oversight, workstream allocation, and development of team members

Experience defining and governing enterprise-scale agentic architectures across multiple systems

Experience setting standards for RAG pipelines, LLM integration, or LLM Ops practices across multiple deployments

Experience leading client-facing technical engagements, including architecture sessions or proof-of-concept delivery

Experience defining and measuring AI system performance metrics (accuracy, latency, safety, cost)

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 $142,050 to $292,000

and

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More about this job

Responsibilities

Design, govern, and deploy production-grade agentic AI systems across enterprise environments, including multi-agent orchestration, RAG pipelines, multi-LLM integrations, and program-scale LLM operations. Lead client-facing technical engagements, establish reusable engineering standards and accelerators, and measure system quality and business impact.

Requirements

Requires a bachelor's degree or college diploma in a related field, 10+ years of production software development experience, and at least one year designing and deploying production agentic AI solutions. Candidates must also have substantial software team leadership experience, expertise in agentic architectures, RAG, LLM operations, cloud-native development, Python, and client-facing technical delivery.

Skills

Agentic AI Architecture
Multi-Agent Orchestration
Retrieval-Augmented Generation
LLM Integration
LLM Operations
Evaluation Harness Design
Prompt Governance
Production Observability
Python
Kubernetes
Docker
Microservices
CI/CD
Infrastructure as Code
Technical Leadership
Client Engagement

Visa sponsorship

Not detected in the job text

Keywords

Agentic AI
Multi-Agent Systems
LangGraph
CrewAI
AutoGen
RAG
Embeddings
Chunking Strategies
Vector Databases
OpenAI
Anthropic
Vertex AI
LLM APIs
LLM Operations
Evaluation Harness
Prompt Versioning
Observability
Safety Monitoring
Cost Governance
Python
Java
Kubernetes
Docker
Microservices
Serverless
CI/CD
Terraform
Helm
Cloud-Native Development
Production Monitoring

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Jobs in Canada