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Added 5 hours ago
Z
Penetration Testing/ Red Team Engineer
Zoho
Toronto, ON
- Contract
…development. This role combines hands-on security engineering with offensive security expertise to identify vulnerabilities, simulate real-world attack scenarios, and develop automation…
Added 6 hours ago
W
Data Analyst
Wiraa
Canada
- Full-time
Preferred: Experience with Python for data processing, analysis, or automation.
Added 6 hours ago
W
Data Engineer
Wiraa
Canada
- Full-time
…Data & Analytics, this role offers the opportunity to work with one of the largest and most comprehensive datasets in Canada. The Data Engineer will be responsible for designing, building,…
Added 6 hours ago
MA
Software Engineer
Milya AI
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
…practitioners and group practices alike. Milya focuses on combining automation with a strong human touch to help clinics run smarter, faster, and more…
Added 10 hours ago
RB
Senior Platform Automation Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
4+ years of professional software development and platform engineering in financial technology or financial services, with proven expertise in Python, DevOps, and multi-cloud automation.
Added 10 hours ago
A
Senior AI and Agentic Developer
Accenture
Toronto, ON
- Full-time
As an Advanced AI, Large Language Model and Agentic AI Developer/Consultant, you will build production-grade AI applications that transform enterprise workflows. You will translate business…
Added 11 hours ago
A
Forward Deployed AI Engineer - Senior Manager
Accenture
Calgary, AB · Vancouver, BC · Ottawa, ON · Toronto, ON
- Full-time
…embedded inside a client's enterprise, shoulder to shoulder with their teams, to make complex AI platforms work in real, messy organizational environments. You own outcomes: time-to-value,…
Added 13 hours ago
L
AI/ML Engineer
lululemon
Vancouver, BC
- Full-time
Experience with common ML tools and frameworks and implementation such as Python, Spark, Airflow, MLFlow, feature stores, cloud ML platforms
Added 14 hours ago
SA
Electrical Engineer
Smarter Alloys
Cambridge, ON
- Full-time
Experience with industrial automation, PLCs, SCADA, and industrial communication protocols
Added 14 hours ago
A
R&D Test Manager (Software - Validation & Verification)
Actalent
Ottawa, ON · Nepean, ON
- $145,000 to $195,000 CAD / year
- Full-time
Collaborate with software development, hardware, firmware, systems, product management, and quality teams.
Added 14 hours ago
A
R&D Test Manager (Software - Validation & Verification)
Actalent
Ottawa, ON · Nepean, ON
- $145,000 to $195,000 CAD / year
- Full-time
Collaborate with software development, hardware, firmware, systems, product management, and quality teams.
Added 16 hours ago
GA
Solutions Engineer Intern
Geekplus America Inc
Markham, ON
- Internship
The intern will work alongside Solutions Engineers on warehouse automation and robotics projects. Early in the internship, the focus will be on data analysis, CAD layout development,…
Added 17 hours ago
E
AI Developer Test Management
Ericsson
Ottawa, ON
- Full-time
…AI-driven approach, such as autonomous agents, intelligent automation, observability, and pipeline optimization. Working closely with your team and development teams across the…
Added 17 hours ago
C
Cloud Expert
Computronix
AB · Edmonton, AB
- Full-time
…infrastructure, Kubernetes, infrastructure as code, deployment automation, networking, monitoring, security and operational…
Added 18 hours ago
I
Senior DevOps Engineer
iCOUNTER
Remote, Canada
- $136,000 to $170,000 CAD / year
- Full-time
- Remote
…leading the evolution of our CI/CD pipelines; and building the automation and observability that keep production healthy. You’ll also set the standard for security in the infrastructure you…
Added 19 hours ago
V
Staff Information Security Engineer - Threat Detection & Response
Visier
Remote, Canada
- Full-time
- Remote
Security Automation & Scripting: Strong hands-on coding proficiency (Python, Go, or Bash) to build resilient automation pipelines, data enrichments, and automated response playbooks.
Added 19 hours ago
E
AI Developer Test Management
Ericsson
Ottawa, ON
- Full-time
…AI-driven approach, such as autonomous agents, intelligent automation, observability, and pipeline optimization. Working closely with your team and development teams across the…
Added 19 hours ago
Engineer, Test Equipment
Redlen Technologies Inc.
Saanichton, BC
Experience with automated test systems, LabVIEW, Python, DAQ systems, or instrumentation.
Added 19 hours ago
TE
Operations Intelligence & Analytics Specialist
TC Energy
Calgary, AB
- Full-time
Practical experience finding, piloting, or rolling out AI, automation, or advanced-analytics solutions, such as building or testing assistants, agents, or bots with enterprise AI tools. A…
Added 19 hours ago
AI
Oracle AWS Cloud DBA – Migration & Amazon RDS Specialist
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
Proficiency in shell scripting (Bash) and automation using Python.
Added 19 hours ago
V
Risk Management Automation & AI Intern (4-Month Internship)
Vancity
Vancouver, BC
- Full-time
Experience with data analysis tools such as Excel, Power BI, SQL, Python, or R
Added 20 hours ago
A
Senior Principal Engineer
Autodesk
Toronto, ON
- Full-time
…the technical strategy and evolution of our cloud platform, developer experience, application delivery, and AI-enabled engineering capabilities within the GET Engineering - Horizontal…
Added 20 hours ago
SI
Business Intelligence Analyst
Spait Infotech
Canada
- Full-time
Familiarity with Python or R for data analysis and automation.
Added 20 hours ago
BI
Manager, Pension Risk Transfer (PRT) Modelling & Analytics
BMO Insurance
Toronto, ON
- Full-time
Experience with actuarial programming, modelling and data analytics tools (e.g. SQL, R, Python, Power BI) is considered an asset.
Added 20 hours ago
CG
Software Safety Engineer – AI, LLM & SW-FMEA Automation
CS GROUP
Montreal, QC
- Full-time
We are seeking a Software Safety Engineer with expertise in Artificial Intelligence (AI), Large Language Models (LLMs), and software safety engineering to support an initiative focused on…

Accenture

Senior AI and Agentic Developer

Toronto, ON, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Nov 14, 2026
Posting language: English
Posted: Sep 18, 2026

Original job description

We Are
The beginning of a new era that will reshape work and society has begun. Accenture is stepping boldly into this future with a clear strategy and purpose: to help clients optimize and reinvent their business with Data & Advanced AI - backed by a $3B investment and commitment to our people to do industry-defining work. With over 1,600 professionals dedicated to generative AI, leveraging the depth and experience of more than 40,000 AI and data professionals across the company our Generative AI and LLM Center of Excellence brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem.

You Are:

As an Advanced AI, Large Language Model and Agentic AI Developer/Consultant, you will build production-grade AI applications that transform enterprise workflows. You will translate business and product requirements into secure, scalable software components spanning LLM applications, agent orchestration, enterprise knowledge integration, workflow automation, evaluation, observability and AI Ops. You will integrate and customize LLMs with enterprise systems, APIs and data platforms so clients can move from prototypes to measurable business outcomes.

You will be required to maintain a practical understanding of the evolving Gen AI and agentic AI stack, including model selection, prompt and context engineering, advanced RAG, tool/function calling, MCP/A2A-style integration patterns, orchestration frameworks, guardrails, Responsible AI, security and production operations. You will use that knowledge to build AI-enabled applications and agentic workflows that deliver business value.

Position Responsibilities:

Design, build and support end-to-end Generative AI, LLM and agentic AI applications that transform enterprise workflows for specific business needs, following architecture guidance and delivery standards.

Build tool integrations, workflow actions and API connectors that allow agents to safely retrieve information, execute tasks and hand work back to people when judgment or approval is required.

Create automated tests, evaluations and monitoring for prompts, retrieval quality, agent behavior, security controls, latency, cost and production reliability.

Work in agile, cross-functional delivery teams and communicate technical trade-offs clearly to architects, product owners, business SMEs and client stakeholders.

Leverage, customize and implement Gen AI models, orchestration frameworks, retrieval patterns and agentic design patterns to improve the quality, reliability and adoption of AI products, applications and systems.

Develop LLM-based and agentic applications using open source and cloud frameworks such as LangGraph, Semantic Kernel, LangChain, Pydantic, AutoGen, CrewAI, MCP/A2A-enabled tools or equivalent enterprise AI platforms.

Adapt LLMs and agent workflows to improve performance, accuracy, alignment, reliability, safety and business relevance.

Develop and integrate LLMs, agents and AI application components into products, services, enterprise systems, APIs and workflow platforms.

Implement AI applications that comply with Responsible AI, ethical, privacy, security and legal standards, including data protection, consent, access controls, auditability and human-in-the-loop escalation.

Analyze and evaluate Gen AI and agentic system performance using model, workflow and business outcome metrics, and recommend improvements to quality, safety, latency, cost and user trust.

Contribute to the right technology choices for generative AI and agentic solutions across models, frameworks, cloud services, data platforms, integration layers, observability tools and security controls.

Design and prototype reusable components for LLM and agentic solution patterns, including prompts, context pipelines, memory, tool use, workflow handoffs, human approvals, evaluations and integration adapters.

Build components of LLM and agentic AI solutions that address Responsible AI, privacy, cybersecurity, data governance, auditability, resiliency and regulatory expectations.

Implement LLMOps and AgentOps practices for operationalization, including CI/CD, automated evaluation, prompt and model lifecycle management, monitoring, incident response, cost controls and continuous improvement.

Collaborate with business process owners, product teams, designers, data and platform engineers, security, legal/privacy, risk, change management and operations teams to identify, prioritize and deliver AI-enabled workflow transformation.

Create and maintain clear technical, integration, evaluation and operations documentation that helps cross-functional teams build, troubleshoot, govern and continuously improve AI and agentic solutions.

Apply modern transformer, embedding, retrieval, reasoning and multimodal model capabilities to optimize solution performance, user experience and enterprise workflow outcomes.

Translate advances in transformer architectures and agentic AI into practical software patterns that reshape knowledge work, decision support, service operations and software engineering productivity.

Travel may be required for this role.

What you need:

Minimum of 3 years in AI engineering, machine learning, deep learning and NLP solutions and applications.

Minimum 3 years of experience in designing & deploying AI / Machine Learning solutions using at least one cloud vendor.

Minimum of 2 years of experience in Engineering teams with one or more programming languages and frameworks, such as Python, JavaScript, Java, Spring or GoLang, showcasing a strong command over the technical foundations and mastery of one or more AI Frameworks like LangGraph or Semantic Kernel.

Minimum 1 year of experience architecting and operationalizing LLM-driven and agentic application architecture patterns.

Bachelor’s Degree or completion of college diploma in related field

Demonstrated hands-on experience building Gen AI or agentic AI applications with orchestration frameworks, tool/function calling, RAG, APIs and enterprise integration patterns.

Demonstrated software engineering skills in production environments, including Python or JavaScript/TypeScript, API development, testing, CI/CD, observability and secure coding practices.

Demonstrated ability to collaborate across product, design, data, cloud, security, legal/privacy, business users and operations to deliver AI-enabled workflow change.

Familiarity with enterprise workflow automation, event/message-driven integration, human-in-the-loop design and AI application deployment on cloud platforms.

English is required for this position as this role will regularly interact with English-speaking stakeholders across Canada. Due to the significant high volume of interactions with these English-speaking stakeholders, which is inherent to this position, it is not possible to reorganize the company's activities to avoid this requirement.

Bonus Points if you have

Fine-tuning language models and handling multimodal inputs and outputs.

Experience with agentic workflows, Retrieval-Augmented Generation (RAG), knowledge graphs, vector databases, tool use and data pipelines.

Experience in developing applications for voice, video and text based AI platforms, showcasing versatility and adaptability in diverse environments.

Experience with enterprise workflow transformation, process automation, decision support, contact center/service operations or AI-assisted software engineering use cases.

Experience building evaluation datasets, automated quality checks, guardrails, prompt/version governance, cost optimization and production monitoring for LLM applications.

Experience facilitating demos, discovery sessions or adoption workshops with business users and client stakeholders.

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 $69,450 to $119,450

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More about this job

Responsibilities

Design, build, integrate, and operate production-grade generative AI and agentic applications that automate enterprise workflows, connecting models and agents with APIs, data platforms, and business systems. Establish evaluation, monitoring, security, governance, and operational practices, and collaborate with cross-functional teams and clients to improve solution quality and business outcomes.

Requirements

Requires at least three years of AI/ML engineering experience and cloud-based AI solution deployment, two years of software engineering experience, and one year architecting and operationalizing LLM and agentic applications. A bachelor's degree or related college diploma is required, along with hands-on experience in generative AI, orchestration frameworks, RAG, APIs, production software engineering, and cross-functional delivery.

Skills

Generative AI
Agentic AI
Large Language Models
Python
JavaScript/TypeScript
LangGraph
Semantic Kernel
Retrieval-Augmented Generation
Prompt Engineering
API Development
Cloud Platforms
Machine Learning
LLMOps
AgentOps
CI/CD
Responsible AI

Visa sponsorship

Not detected in the job text

Keywords

Generative AI
Agentic AI
Large Language Models
Machine Learning
Deep Learning
Natural Language Processing
Python
JavaScript
TypeScript
Java
Go
LangGraph
Semantic Kernel
LangChain
AutoGen
CrewAI
Retrieval-Augmented Generation
Vector Databases
Knowledge Graphs
Prompt Engineering
Tool Calling
Model Context Protocol
API Integration
Cloud Platforms
LLMOps
AgentOps
CI/CD
Responsible AI
Human-in-the-Loop
Observability

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