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Added 5 mins ago
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Senior Data Developer
Plusgrade
Montreal, QC · CAN - Montreal
- Full-time
Python · SQL · Java · Scala · Snowflake · Airflow · Dagster · Kafka · Kinesis · AWS (S3, Glue, Lambda) · Terraform · Docker · Kubernetes
Added 35 mins ago
TI
Data Scientist / Data Analytics Specialist
Teckhorizon Inc
Toronto, ON
- Contract
Minimum 5 years of experience working with cloud environments such as Azure or AWS.
Added 35 mins ago
SG
Sr. Forward Deployed Engineer
Software Guidance & Assistance, Inc. (SGA, Inc.)
Mississauga, ON
- Full-time
Seeking a Senior Forward Deployed Engineer (FDE) with deep Java and Python technology expertise to work directly with our clients in the Spread Products space.
Added 51 mins ago
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Senior BI Platform Operations Engineer
Luxoft
Toronto, ON
- Full-time
…our enterprise Business Intelligence platforms and associated AWS…
Added 1 hour ago
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Senior Agentic AI Developer
OSEDEA
Montreal, QC
- Full-time
We're looking for a Senior Agentic AI Developer who can turn these capabilities into reliable, production-ready solutions for our clients.
Added 1 hour ago
GM
Senior Software Developer - CI/CD and Software Development Tools
General Motors
Markham, ON
- Full-time
Hands-on experience with major cloud platforms (such as Azure or AWS) and relevant services, including containerization and orchestration (Docker, Kubernetes, etc.).
Added 2 hours ago
TG
Senior Network Engineer
TMX Group
Toronto, ON
- Full-time
We are seeking a highly skilled and motivated Senior Network Engineer with 7+ years of experience to join our dynamic infrastructure team. In this full-time role, you will be an integral…
Added 2 hours ago
Senior AI Engineer, IT Solutions 1 1
Celestica International LP
Toronto, ON
Experience with Cloud AI Services (Azure AI Studio, AWS Bedrock, or Google Vertex AI [Preferred]).
Added 2 hours ago
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Senior Software Developer in Test | Ingénieur·e logiciel senior en test
Plotly
Remote, Canada
- Full-time
- Remote
Plotly builds the tools millions of developers use to work with data. Our open-source libraries are downloaded millions of times per day, Dash is one of the most popular ways to build data…
Added 7 hours ago
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RQ00831 - DevOPS/Cloud Engineer - Senior
Maarut
Toronto, ON
- Contract
Senior-level AWS cloud engineering and DevOps experience building, operating, and troubleshooting production serverless, containerized, networking, security, and shared platform resources…
Added 11 hours ago
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Senior AI Quality Developer, Personalization
Autodesk
Toronto, ON
- Full-time
We're looking for a Senior AI Quality Developer to help make those experiences reliable and trustworthy. In this role, you'll work on Autodesk Assistant, helping ensure we deliver…
Added 11 hours ago
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Senior Full Stack Engineer, Applied AI
Autodesk
Vancouver, BC
- Full-time
We are looking for a Senior Software Developer who enjoys building great software, solving interesting problems, and thinking in systems, not just files. You will help develop AI-powered…
Added 11 hours ago
A
Senior AI Quality Developer, Personalization
Autodesk
Toronto, ON
- Full-time
We're looking for a Senior AI Quality Developer to help make those experiences reliable and trustworthy. In this role, you'll work on Autodesk Assistant, helping ensure we deliver…
Added 11 hours ago
A
Senior Full Stack Engineer, Applied AI
Autodesk
Toronto, ON
- Full-time
We are looking for a Senior Software Developer who enjoys building great software, solving interesting problems, and thinking in systems, not just files. You will help develop AI-powered…
Added 11 hours ago
A
Senior Full Stack Engineer, Applied AI
Autodesk
Toronto, ON
- Full-time
We are looking for a Senior Software Developer who enjoys building great software, solving interesting problems, and thinking in systems, not just files. You will help develop AI-powered…
Added 15 hours ago
U
Scientifique des données III-Ing/Data Scientist III- Eng
UKG
Montreal, QC
- Full-time
…impact commercial mesurable. Ce poste de contributeur individuel senior combine une expertise technique pointue avec le leadership de projet et le mentorat pour piloter la feuille de route…
Added 16 hours ago
A
Technology - Senior Engineer/Engineer, Cybersecurity
Aritzia
Vancouver, BC
- Full-time
Aritzia is growing and our Cybersecurity team is growing with it. This is a unique opportunity to be part of the team responsible for designing, engineering, and enabling secure technology…
Added 16 hours ago
GS
Ingénieur Automatisation Électronique & DevOps (Senior)
Groupe SII
Montreal, QC
- Full-time
Accompagner les départements d’ingénierie dans la migration de leurs outils vers le nuage, notamment avec AWS, Azure et Databricks.
Added 17 hours ago
PI
Senior Cyber Security Analyst
PENN Interactive
Canada
- Full-time
Experience with cloud security monitoring (AWS, Azure, or GCP).
Added 17 hours ago
C
Senior Agentic AI developer
CGI
Toronto, ON
- Full-time
CGI's Emerging Technologies team within Global Technology and Operations (GTO) Canada is seeking a highly skilled Senior Agentic AI Developer to design, develop, and deploy next-generation…
Added 18 hours ago
SC
Ingénieur Automatisation Électronique & DevOps (Senior)
SII Canada
Montreal, QC
- Full-time
Accompagner les départements d’ingénierie dans la migration de leurs outils vers le nuage, notamment avec AWS, Azure et Databricks.

CGI

Senior Agentic AI developer

Toronto, ON, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Nov 27, 2026
Posting language: English
Posted: Oct 28, 2026

Original job description

Position Description

Are you passionate about building enterprise-scale Agentic AI solutions that move beyond experimentation into real-world business impact?

CGI's Emerging Technologies team within Global Technology and Operations (GTO) Canada is seeking a highly skilled Senior Agentic AI Developer to design, develop, and deploy next-generation AI solutions leveraging Large Language Models (LLMs), Generative AI, Retrieval-Augmented Generation (RAG), and Agentic AI frameworks.

As part of our Data, AI, and Cloud practice, you will work alongside leading AI Architects, Data Scientists, and Cloud Engineers to deliver innovative AI solutions for global clients. This role requires a hands-on technical leader who can bridge strategy, architecture, and implementation to deliver production-ready AI systems at scale.

Your future duties and responsibilities

Design, develop, and deploy enterprise-grade Agentic AI and Generative AI solutions that address complex business challenges.
Build multi-agent systems utilizing modern orchestration frameworks such as LangGraph, LangChain, CrewAI, Semantic Kernel, Google ADK, Amazon Bedrock Agents, or Azure AI Foundry.
Lead the end-to-end development lifecycle of AI solutions, from ideation and proof of concept through production deployment and continuous optimization.
Implement RAG-based solutions leveraging vector databases and knowledge retrieval systems.
Develop robust prompt engineering, context engineering, and agent orchestration strategies to optimize performance and user experience.
Fine-tune and customize foundation models using PEFT techniques such as LoRA and QLoRA.
Collaborate with business stakeholders to identify AI opportunities, define solution roadmaps, and translate business requirements into scalable AI solutions.
Establish AI governance, observability, monitoring, security, and Responsible AI practices for production deployments.
Optimize AI architectures for scalability, latency, accuracy, reliability, and cost efficiency.
Partner with Data Engineers, Cloud Engineers, Architects, and Product Teams to deliver enterprise solutions across cloud and hybrid environments.
Contribute to AI innovation initiatives, reusable accelerators, reference architectures, and best practices.
Mentor junior developers and provide technical leadership across project teams.

Required Qualifications To Be Successful In This Role

5+ years of software engineering, machine learning, data science, or AI development experience.
2+ years of hands-on experience delivering Generative AI or Agentic AI solutions in production environments.
Demonstrated experience implementing Agentic AI workflows, AI copilots, AI assistants, or autonomous agent solutions with measurable business outcomes.
Strong experience with one or more Agentic AI frameworks, including: LangGraph, LangChain, CrewAI, Semantic Kernel, AutoGen, Google ADK, Amazon Bedrock Agents, Azure AI Foundry / Azure AI Studio
Experience designing and implementing Retrieval-Augmented Generation (RAG) architectures.
Hands-on experience with vector databases such as Pinecone, Weaviate, Chroma, Qdrant, Azure AI Search, or OpenSearch.
Experience deploying and working with foundation models including OpenAI, GPT, Claude, Gemini, Llama, Mistral, or similar.
Experience fine-tuning and optimizing LLMs using LoRA, QLoRA, PEFT, or related techniques.
Strong programming expertise in Python and SQL.
Experience deploying AI workloads on Azure, AWS, or GCP.
Understanding of MLOps/LLMOps practices, CI/CD pipelines, model monitoring, and observability.
Bachelor's degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related discipline.

CGI is providing a reasonable estimate of the pay range for this role. The determination of this range includes various factors including but not limited to skill set level, geographic market, experience and training, and licenses and certifications. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $95,000 - $145,000. This role is an existing vacancy.

Together, as owners, let’s turn meaningful insights into action.

Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because…

You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction.

Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.

You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.

At CGI, we value the strength that diversity brings and are committed to fostering a workplace where everyone belongs. We collaborate with our clients to build more inclusive communities and empower all CGI partners to thrive. As an equal-opportunity employer, being able to perform your best during the recruitment process is important to us. If you require an accommodation, please inform your recruiter.

That same commitment to fairness extends to how we use technology. To support our recruitment team, AI tools may be used to help assess applications though they never replace human judgement. All hiring decisions remain entirely in the hands of our recruitment professionals.

To learn more about accessibility at CGI, contact us via email. Please note that this email is strictly for accessibility requests and cannot be used for application status inquiries.

Come join our team - one of the largest IT and business consulting services firms in the world.

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More about this job

Responsibilities

Design, build, and deploy enterprise-grade Agentic AI and Generative AI solutions, including multi-agent systems, RAG architectures, and customized foundation models. Lead AI solution delivery from ideation through production, while establishing governance and observability, optimizing performance and cost, collaborating across teams, and mentoring developers.

Requirements

Requires at least five years of relevant software engineering, machine learning, data science, or AI development experience, including at least two years delivering Generative AI or Agentic AI solutions in production. Candidates need hands-on experience with agent frameworks, RAG, vector databases, foundation models, model fine-tuning, Python, SQL, cloud deployment, and MLOps/LLMOps, plus a bachelor's degree in a related discipline.

Skills

Agentic AI Development
Generative AI
Large Language Models
Retrieval-Augmented Generation
Multi-Agent Systems
Python
SQL
Prompt Engineering
Context Engineering
Vector Databases
LLM Fine-Tuning
Cloud Deployment
MLOps
LLMOps
AI Governance
Technical Leadership

Visa sponsorship

Not detected in the job text

Keywords

Agentic AI
Generative AI
Large Language Models
Retrieval-Augmented Generation
LangGraph
LangChain
CrewAI
Semantic Kernel
Google ADK
Amazon Bedrock Agents
Azure AI Foundry
AutoGen
Vector Databases
Pinecone
Weaviate
Chroma
Qdrant
Azure AI Search
OpenSearch
OpenAI
Claude
Gemini
Llama
Mistral
LoRA
QLoRA
PEFT
Python
SQL
MLOps

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