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Added 1 month ago
JG
Gen AI (AWS) Developer
J&M Group
Toronto, ON
- Full-time
We are seeking a GenAI Developer with 5-8 years of experience in designing, developing, and deploying AI-driven solutions. The ideal candidate should have strong expertise in Generative AI,…
Added 1 month ago
DI
Test Automation Developer - Winter 2027 Co-op/Intern
Definity Insurance Company
Waterloo, ON
- Full-time
…with the validation and verification of software systems and data. Economical Insurance is seeking a technical Student in Quality Assurance to join us in this important…
Added 1 month ago
R
Director, DevOps Regulatory Engineering
RBC
Toronto, ON
- Full-time
Strong engineering background in CI/CD, DevOps tooling and cloud platforms, with hands-on experience in Java and Python
Added 1 month ago
A
Senior AI and Agentic Developer
Accenture
Ottawa, ON · Toronto, ON · Montreal, QC
- 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 1 month ago
Compliance Analyst
Government of Alberta
Edmonton, AB
University graduation in a related field, preferably with a focus in science, technology, engineering, mathematics, data analytics, statistics, health administration, business…
Added 1 month ago
Senior Delivery Consultant - Connect and Lex, Amazon Connect Center of Delivery Excellence
Amazon
Toronto, ON
…architecture design, model selection and integration, prompt engineering, and data…
Added 1 month ago
T
Manager, Web & Mobile Delivery (Bilingual)
TVO
Toronto, ON
- Full-time
Set and uphold engineering standards and best practices (e.g., code reviews, testing, CI/CD, and accessibility), raising the bar for performance, reliability, security, and maintainability.
Added 1 month ago
JS
Senior Software Engineer, AI-Native Data Warehouse
Juniper Square
Remote, Canada
- Full-time
- Remote
Strong backend engineering experience with Python and frameworks such as FastAPI, Flask, Pyramid, or Django
Added 1 month ago
VS
Senior Reliability/Test Engineer
VIAVI Solutions
Ottawa, ON
- Full-time
Partner with R&D and Mfg. Engineering to develop contract manufacturing ready and reliable test systems, jigs & fixturing.
Added 6 months ago
PE
Senior Manager, Energy Intelligence & Data Systems
PowerON Energy Solutions
Toronto, Ontario
- Full-time
University degree in Engineering, Data Science, Mathematics, or a related field,
Added 6 months ago
TC
Unpaid Internship - ML Engineering
The Commons XR
Remote, Canada
- Remote
…interns. As such we are seeking unpaid interns who are pursuing Data Engineering professional experiences. Our company is about creating a platform for better social/emotional personal…
Added 6 months ago
V
Associate AI Software Engineer
VoiceValet
Vancouver, British Columbia
- $60,000 to $80,000 CAD / year
- Full-time
…our leadership team and senior engineers. This is hands-on engineering with immediate impact – features you ship will be used by real businesses within…
Added 6 months ago
L
Specialist - Data Engineering
LTM
Ontario · Ontario, Canada
- $87,896 to $93,824 CAD / year
- Full-time
Follow enterprise standards for coding deployment and change management26 years of experience in Big Data Data Engineering roles
Added 6 months ago
L
Senior Product Engineer
LTM
Ontario · Ontario, Canada
- $75,163 to $79,609 CAD / year
- Full-time
Follow enterprise standards for coding deployment and change management26 years of experience in Big Data Data Engineering roles
Added 6 months ago
L
Senior Product Engineer
LTM
Ontario · Ontario, Canada
- $75,163 to $79,609 CAD / year
- Full-time
Follow enterprise standards for coding deployment and change management26 years of experience in Big Data Data Engineering roles
Added 6 months ago
S
Senior Platform Engineer
Scotiabank
Toronto, Ontario
- Full-time
…markets platforms. The successful candidate will have a strong engineering mindset and will work closely with Data Engineering, Cloud, and Architecture teams to deliver scalable, secure,…
Added 6 months ago
P&
Specialiste des solutions de donnees et des processus, Gestion des Fournisseurs de Reparations / Data and Process Solutions Specialist, Vendor Management
Pratt & Whitney
Longueuil, Quebec
- Full-time
…des opérations, à l’aide de divers outils (SAP, BW, Power BI, Python, SAS,…
Added 6 months ago
A
Senior Full-Stack Engineer - Production Planning
Afresh
Ontario
- $136,000 to $205,000 CAD / year
- Full-time
Collaborate with your engineering teammates to support thousands of grocery stores critical fresh food supply chains across the US.
Added 6 months ago
LI
Artificial Intelligence Engineer
LanceSoft, Inc.
Montreal, Quebec
- Contract
Pull data from APIs, documents, tickets, repositories, and architecture artifacts
Added 6 months ago
DI
kdb+ Developer (Relocation to New York)
Data Intellect
Toronto, Ontario
- Full-time
Data Intellect is a specialist data and technology consultancy with deep roots in capital markets. We build high-performance systems that power trading, risk, and analytics for some of the…
Added 6 months ago
TA
Senior Machine Learning Engineer (GCP)
Tiger Analytics
Canada
- Full-time
…learning models and driving the end-to-end ML lifecycle, from data ingestion to model serving and…
Added 6 months ago
F
Computer Vision & Behavioral Signal Analysis Intern (Healthcare Focus)
FairwAI
Remote, Canada
- Remote
Experienced in Python-based ML and vision workflows
Added 6 months ago
F
NLP Research Fellow
FairwAI
Remote, Canada
- Remote
We’re seeking a brilliant, mission-aligned NLP intern to join the team - our hospital equity analytics unit. You'll help us extract meaningful signals from real-world review data, such as:
Added 3 months ago
T
Technical Product Owner - AI & Machine Learning Solutions
TD
Remote, Canada
- Full-time
- Remote
Establish and uphold AI/ML engineering standards, best practices, and quality controls, while providing informed challenge on model design, MLOps, data architecture, and…
Added 3 months ago
DD
Software Engineer Fullstack
Dominion Dynamics
Ottawa, ON
- Full-time
You will drive development across platform layers - from backend ingestion and data processing to frontend visualization and embedded integrations - working closely with hardware and…

Accenture

Senior AI and Agentic Developer

Ottawa, ON, Canada
Toronto, ON, Canada
Montreal, QC, Canada

Role Location Annual Salary Range British Columbia/Ontario/New Brunswick $69,450 to $119,450 · Full-time

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Job details

Pay: Role Location Annual Salary Range British Columbia/Ontario/New Brunswick $69,450 to $119,450
Job type: Full-time
Posting language: English
Posted: Sep 10, 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

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services - creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

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More about this job

Responsibilities

Design, build, and support end-to-end Generative AI and agentic applications to transform enterprise workflows. Collaborate with cross-functional teams to integrate LLMs into enterprise systems while ensuring compliance with Responsible AI and security standards.

Requirements

Requires at least 3 years of experience in AI engineering, machine learning, and NLP, along with proficiency in Python or JavaScript. Candidates must hold a bachelor's degree and demonstrate hands-on experience with orchestration frameworks and cloud-based AI deployment.

Skills

Generative AI
Large Language Models
Agentic AI
Python
JavaScript
LangGraph
Semantic Kernel
LangChain
RAG
API Development
Cloud Computing
Machine Learning
Prompt Engineering
CI/CD
Observability
Software Engineering

Visa sponsorship

Not detected in the job text

Keywords

Generative AI
LLM
Agentic AI
Python
JavaScript
LangGraph
Semantic Kernel
LangChain
Pydantic
AutoGen
CrewAI
RAG
Cloud Computing
Machine Learning
NLP
CI/CD
Observability
Prompt Engineering
API
Responsible AI
Cybersecurity
Data Governance
LLMOps
AgentOps
Software Engineering
Enterprise Integration
Multimodal Models
Vector Databases
Knowledge Graphs
Agile

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