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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
R&
Senior Actuarial Analyst, Property & Casualty
Robertson & Company Ltd.
Toronto, ON
- Full-time
Strong programming and analytical capabilities, ideally including Python and SQL; experience with PySpark is beneficial.
Added 1 month ago
Senior Digital Design Engineer
Astera Labs
Toronto, ON
Use Synopsys and Cadence design and analysis tools, along with Python or Perl scripting, to improve design productivity and automation.
Added 1 month ago
Litigation Support - Case Manager, eDiscovery & Litigation Support
Burnet, Duckworth & Palmer
Calgary, AB
Experience with platforms such as Microsoft Copilot, CoCounsel, CoWork, SQL, or Python, is an asset.
Added 1 month ago
DI
Test Automation Developer - Winter 2027 Co-op/Intern
Definity Insurance Company
Waterloo, ON
- Full-time
…future. That’s why it makes sense to choose a co-op placement with a company that offers truly rewarding work and real-life experience. At Definity®, your contributions, creativity, and…
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
Senior Delivery Consultant - Connect and Lex, Amazon Connect Center of Delivery Excellence
Amazon
Toronto, ON
- 5+ years of experience as a contact center technology architect, enterprise IT Architect or senior contact center developer working with leading contact center technology platforms and…
Added 1 month ago
T
Manager, Web & Mobile Delivery (Bilingual)
TVO
Toronto, ON
- Full-time
Improve SDLC and CI/CD practices to increase developer velocity and reduce operational toil leveraging AI-assisted accelerated development with well-defined guardrails.
Added 1 month ago
RB
Sr. Audit Manager - Model Risk CoE
Royal Bank of Canada
Toronto, ON
- Full-time
…assessment of the effectiveness of model risk management practices with focus on AML, Credit Risk, Artificial Intelligence & Machine Learning (AI/ML), Stress Testing, Valuation, Market…
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
R
Sr. Audit Manager - Model Risk CoE
RBC
Toronto, ON
- Full-time
…assessment of the effectiveness of model risk management practices with focus on AML, Credit Risk, Artificial Intelligence & Machine Learning (AI/ML), Stress Testing, Valuation, Market…
Added 6 months ago
PE
Senior Manager, Energy Intelligence & Data Systems
PowerON Energy Solutions
Toronto, Ontario
- Full-time
Work with the energy management team to track relevant tariffs, incentive programs, market rules, and regulatory developments across IESO and other applicable energy markets
Added 6 months ago
TC
Unpaid Internship - ML Engineering
The Commons XR
Remote, Canada
- Remote
…foundational knowledge (similar to what you would be interning on with projects with us). Please apply quickly as our internship posting generally closes after one (1) Week. You will be…
Added 6 months ago
C
Staff Chip Design Engineer - FPGA
Cognichip
Toronto, Ontario
- $184,000 to $222,000 CAD / year
- Full-time
…Staff FPGA Design Engineer, you will fuse chip design expertise with cutting-edge ML to create the intelligent, end-to-end silicon design flows. If you thrive on pushing the envelope of the…
Added 6 months ago
V
Associate AI Software Engineer
VoiceValet
Vancouver, British Columbia
- $60,000 to $80,000 CAD / year
- Full-time
…property management) is a multi-billion dollar opportunity with less than 1% SMB penetration. The next 2-3 years will determine market leaders. We intend to be one of…
Added 6 months ago
V
AI Software Engineer
VoiceValet
Vancouver, British Columbia
- $80,000 to $110,000 CAD / year
- Full-time
Experienced with object-oriented development (e.g. Python)
Added 6 months ago
LI
Artificial Intelligence Engineer
LanceSoft, Inc.
Montreal, Quebec
- Contract
The “Forward Deployed” aspect refers to deep, hands-on engagement with internal stakeholders and architecture processes, not client products or external delivery. The outputs of this role…
Added 6 months ago
TA
Senior Machine Learning Engineer (GCP)
Tiger Analytics
Canada
- Full-time
Expert in Python with strong OOP and functional programming skills
Added 6 months ago
F
Computer Vision & Behavioral Signal Analysis Intern (Healthcare Focus)
FairwAI
Remote, Canada
- Remote
Collaborate with researchers, clinicians, and policy experts to annotate and validate bias signals
Added 6 months ago
F
NLP Research Fellow
FairwAI
Remote, Canada
- Remote
You’ll work closely with our founder, MIT & Harvard PhD's, and fairness technologists to prototype systems that go from reviews → labeled incidents.
Added 3 months ago
T
Technical Product Owner - AI & Machine Learning Solutions
TD
Remote, Canada
- Full-time
- Remote
As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.
Added 3 months ago
DD
Software Engineer Fullstack
Dominion Dynamics
Ottawa, ON
- Full-time
…frontend visualization and embedded integrations - working closely with hardware and embedded system teams. This role centers on designing, testing, and operating resilient telemetry and…
Added 1 month ago
Senior - Decision Modelling (Montreal)
EY
Montreal, QC
At EY, we’re all in to shape your future with confidence.
Added 2 months ago
GM
Staff Software Developer - Diagnostics Infrastructure
General Motors
Remote, Canada
- Full-time
- Remote
We are seeking a highly skilled and motivated Staff Software Developer to join our Diagnostics Infrastructure Software team in the Autonomous Vehicle Integrity Platform department. In this…

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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