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Added 24 mins ago
Technology Lead
Infosys
ON
Integrate Gen AI solutions with cloud-native services (AWS Bedrock, Azure OpenAI, GCP Vertex AI).
Added 2 hours ago
AI Outcome Customer Developer, Forward Deployed Development
Google
Toronto, ON
As an AI Outcome Customer Developer in our GTM AI Tech organization, you work as an enterprise architect, technical debugger, development liaison and technical delivery manager. You will…
Added 6 hours ago
Machine Learning Scientist
DarkVision
North Vancouver, BC
Full-time
Hands-on experience with ML lifecycle management tools like MLFlow, Amazon SageMaker, GPC Vertex AI, etc.
Added 9 hours ago
AI Full Stack Development Lead
Accenture
Toronto, ON
Full-time
Develop and deploy applications on Google Cloud Platform (GCP) using cloud-native design principles including Vertex AI, Gemini API, and Cloud Run.
Added 11 hours ago
Senior Associate Data Engineering (Azure/Databricks) Hybrid
Publicis Sapient
Toronto, ON
Full-time
Exposure to agentic platforms or cloud AI services such as Vertex AI, Azure AI services, AWS AI services, or comparable platforms; specific platform experience is less important than…
Added 14 hours ago
Architecte de solutions / Lead technique IA
Onepoint
Montreal, QC
Full-time
Expérience des plateformes infonuagiques (AWS, Azure, GCP) et des services IA infonuagiques (SageMaker, Azure Machine Learning, Vertex AI, Bedrock);
Added 15 hours ago
Senior Manager - Program & Project Management
LTM
ON · Ontario, Canada
$81,215 to $133,000 USD / year
Full-time
Proven experience working with cloud based AI platforms Azure ML or AWS SageMaker or GCP Vertex AI
Added 1 day ago
AI/ML Engineer
lululemon
Vancouver, BC
Full-time
Build and maintain scalable model training pipelines using distributed training frameworks (PyTorch Distributed, Horovod, Ray Train) and cloud ML platforms (SageMaker, Vertex AI, Azure ML)
Added 1 day ago
Credit Risk Manager
Pwc Canada
Toronto, ON
Full-time
Experience and exposure to AI/ML modeling, including theoretical approach and related technology and platforms (such as Vertex AI, Azure AI, etc. ) would be an asset
Added 1 day ago
Credit Risk Manager
PwC Canada
Toronto, ON
Full-time
Experience and exposure to AI/ML modeling, including theoretical approach and related technology and platforms (such as Vertex AI, Azure AI, etc. ) would be an asset
Added 1 day ago
AI DevOps Specialist (AI Enablement & Secure DevOps)
Celestica International LP
Toronto, ON
…foundational AI cloud services (primarily Google Cloud Platform - Vertex AI), managing user-facing web interfaces (LibreChat or Gemini Enterprise Agent Platform), implementing agentic…
Added 1 day ago
Marketing Associate Director, CF
Vertex Pharmaceuticals
Toronto, ON
Full-time
Vertex is seeking an experienced marketing professional to join our Canadian team to lead our Cystic Fibrosis (CF) Marketing team. The Associate Marketing Director, CF Marketing will be a…
Added 1 day ago
Marketing Associate Director, CF
Vertex Inc.
Toronto, ON
Full-time
Vertex is seeking an experienced marketing professional to join our Canadian team to lead our Cystic Fibrosis (CF) Marketing team. The Associate Marketing Director, CF Marketing will be a…
Added 1 day ago
Generative AI Cloud Operations Engineer - Evinova
Evinova
Mississauga, ON
Full-time
Leverage Vertex AI, Azure Foundry, OpenAI, Anthropic, and other foundation model platforms to provide reliable and stable access to LLMs
Added 1 day ago
Manager, Customer Care - Support Team
Jobgether
Canada
Full-time
Hands-on experience with systems such as Genesys, CIS, and Vertex.
Added 1 day ago
Manager, Customer Care - Support Team
Jobgether
Canada
Full-time
Hands-on experience with systems such as Genesys, CIS, and Vertex.
Added 2 days ago
Generative AI Cloud Operations Engineer - Evinova
AstraZeneca
Mississauga, ON · Canada - Mississauga
Full-time
Leverage Vertex AI, Azure Foundry, OpenAI, Anthropic, and other foundation model platforms to provide reliable and stable access to LLMs
Added 4 days ago
Sr. Data Scientist
Charger Logistics Inc
Brampton, ON
Full-time
Operate MLOps workflows on Google Cloud using Vertex AI Pipelines, Feature Store, and Model Registry, supporting model training, deployment, monitoring, and drift detection.
Added 4 days ago
Applied AI Engineer
Hygiena
Mississauga, ON
Full-time
…Enterprise, tool use, extended thinking, Claude Code; Gemini API, Vertex AI Agent Builder, grounding; OpenAI Assistants/Responses APIs, Agents…
Added 4 days ago
Sr. Data Scientist
Charger Logistics Inc.
Brampton, ON
Full-time
Operate MLOps workflows on Google Cloud using Vertex AI Pipelines, Feature Store, and Model Registry, supporting model training, deployment, monitoring, and drift detection.
Added 4 days ago
Technology Lead - GenAI Lead
Infosys
Mississauga, ON
Full-time
Integrate Gen AI solutions with cloud-native services (AWS Bedrock, Azure OpenAI, GCP Vertex AI).
Added 4 days ago
Technology Lead - GenAI Lead
Infosys
Mississauga, ON
Full-time
Integrate Gen AI solutions with cloud-native services (AWS Bedrock, Azure OpenAI, GCP Vertex AI).
Added 4 days ago
Technology Lead - GenAI Lead
Infosys
Mississauga, ON
Full-time
Integrate Gen AI solutions with cloud-native services (AWS Bedrock, Azure OpenAI, GCP Vertex AI).
Added 4 days ago
Technology Lead - GenAI Lead
Infosys
Mississauga, ON
Full-time
Integrate Gen AI solutions with cloud-native services (AWS Bedrock, Azure OpenAI, GCP Vertex AI).
Added 4 days ago
Technology Lead - GenAI Lead
Infosys
Mississauga, ON
Full-time
Integrate Gen AI solutions with cloud-native services (AWS Bedrock, Azure OpenAI, GCP Vertex AI).

Accenture

AI Full Stack Development Lead

Toronto, ON, Canada

Pay: Role Location Hourly Salary Range British Columbia/Ontario/New Brunswick $48.22 to $104.18
Job type: Full-time
Posting language: English
Posted: Sep 22, 2026

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Original job description

We Are

Accenture Technology helps clients use leading-edge technologies to reinvent how they operate and deliver value. Our Cloud First – Software Development team brings together capabilities in technology architecture, integration, custom software development, testing, application modernization, agile delivery, and AI-enabled solution delivery.

You Are

You are a hands-on AI Full Stack Development Lead with strong experience leading the design and delivery of modern, cloud-native and AI-enabled solutions. You bring deep technical expertise across frontend and backend development, distributed systems, GCP, and AI-enabled application development - along with the leadership skills to guide teams and own complex delivery outcomes.

You lead application workstreams from solution design through build, deployment, and production support. You remain hands-on when required while setting technical direction, managing delivery risks, reviewing technical outputs, mentoring team members, and partnering with client and cross-functional stakeholders to translate business needs into secure, scalable solutions.

You are comfortable working autonomously in a fast-paced delivery environment - you take initiative, drive your own workstreams forward, and do not need to be managed task by task.

You will be embedded within a dedicated Agent Onboarding Pod, working as part of a broader Accenture delivery team on one of Canada’s largest enterprise AI programmers. The pod operates autonomously, delivering end-to-end agent use cases for a major client in the transportation sector. You will report to the Pod Lead and work closely with both Accenture platform architects and client development teams on a daily basis.

The Work

As a member of Accenture's Software Development and Application Development practices, you will lead the design, build, and delivery of scalable, high-quality applications and AI-enabled solutions for clients across industries. Key responsibilities include:

Deliver Full Stack and AI-enabled application features across frontend, backend, APIs, integration, and cloud deployment - working autonomously within an agile pod.

Build scalable, secure, and high-performing RESTful APIs and backend integration patterns using Node.js, Python, or Java.

Contribute to frontend development activities as required, including UI integration, API consumption, and defect resolution using React or Angular.

Develop and deploy applications on Google Cloud Platform (GCP) using cloud-native design principles including Vertex AI, Gemini API, and Cloud Run.

Design and deliver AI-enabled application features including LLM integration, RAG pipelines, agent orchestration, prompt and context design, and evaluation frameworks - working with Google's Gemini API, Vertex AI, and Agent Development Kit (ADK).

Work with containerized applications and Kubernetes for deployment, configuration, and runtime operations.

Contribute to solution and cloud architecture decisions, ensuring scalability, resiliency, performance, security, and alignment with client requirements.

Build, maintain, and enhance Azure DevOps (ADO) CI/CD pipelines.

Partner with client stakeholders, product owners, architects, DevOps, and QA teams to clarify requirements, resolve technical issues, communicate progress, and ensure reliable releases.

Apply and uphold development standards for code quality, security, testing, observability, and documentation - including AI tooling fluency, prompt design best practices, and evaluation-driven development as part of daily delivery practice.

Participate in production incident resolution, root cause analysis, risk mitigation, and continuous improvement activities.

Participate in agile ceremonies, contribute to estimates and milestone planning, and support a collaborative, outcome-driven team culture.

What You'll Need

Basic Qualifications:

Bachelor’s degree or college diploma in a related field.
Minimum 7 years of relevant experience in application or software development, including experience leading technical teams, delivery workstreams, or complex client-facing initiatives.

Strong hands-on Full Stack development experience using React or Angular for frontend and Node.js, Python, or Java for backend services and microservices-based application design.

Experience building and consuming REST APIs and backend integration patterns.

Solid understanding of application performance, scalability, and security.

Hands-on experience with Google Cloud Platform (GCP), including Vertex AI, Gemini API, and Cloud Run.

Hands-on AI and machine learning experience, including working with large language models (LLMs), prompt engineering, or specification-driven development.

Experience integrating AI capabilities into full stack applications, including connecting AI services or model APIs with frontend and backend components.

Demonstrated ability to transition from traditional Full Stack development into AI-enabled application development is highly valued.

Demonstrated experience delivering end-to-end technical solutions, contributing to code and design reviews, and communicating effectively with cross-functional stakeholders.

Experience working with Kubernetes, including deployments and runtime concepts.

Experience with Azure DevOps (ADO), including source control, work items, and CI/CD pipeline creation and maintenance.
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.

Bonus Points If You Have

Eligibility for Reliability Clearance.
Hands-on experience with Google ADK, Model Context Protocol (MCP), or multi-agent orchestration patterns (e.g. LangGraph, CrewAI, AutoGen) - or LLM evaluation frameworks such as LLM-as-judge, golden dataset design, and precision/recall scoring.

Experience with BigQuery, Cloud SQL, or Databricks for data access and integration in AI-enabled applications.

Experience with Firebase, Firestore, or Cloud Functions.

Exposure to monitoring and observability tools (e.g. Dynatrace, SIEM, logging, and alerting platforms).

Experience supporting production environments and operational readiness activities.

Familiarity with SRE or reliability-focused practices.

Experience modernizing legacy applications or contributing to DevOps transformations.

Experience leading and mentoring software development teams, supporting performance and capability development, and coordinating work across onshore and offshore delivery teams.

Strong analytical and problem-solving skills.

Ability to work independently and collaboratively in fast-paced agile delivery environments.

Clear written and verbal communication skills.

and

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 Hourly Salary Range British Columbia/Ontario/New Brunswick $48.22 to $104.18

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

Lead the design, build, and delivery of scalable, AI-enabled full stack applications within an agile pod. Partner with cross-functional stakeholders to translate business needs into secure, high-performing cloud-native solutions.

Requirements

Requires a minimum of 7 years of relevant experience in software development and a bachelor's degree or college diploma. Must possess strong hands-on expertise in full stack development, GCP, and AI/LLM integration.

Skills

Full stack development
AI-enabled solution delivery
Node.js
Python
Java
React
Angular
Google Cloud Platform
Vertex AI
Gemini API
Kubernetes
Azure DevOps
RESTful APIs
Prompt engineering
LLM integration
Cloud-native design

Visa sponsorship

Not detected in the job text

Keywords

AI
Full Stack
Cloud-native
GCP
Node.js
Python
Java
React
Angular
Vertex AI
Gemini API
Cloud Run
LLM
RAG
Kubernetes
Azure DevOps
CI/CD
REST APIs
Agile
Prompt Engineering
Microservices
BigQuery
Cloud SQL
Databricks
Firebase
Firestore
SRE
Observability
Software Development
Application Modernization

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