Jobs in Canada

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Added 4 days ago
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Senior IT Infrastructure Administrator, DevOps
Confluence
Montreal, QC
- Full-time
We are looking for a Senior IT Infrastructure Administrator, DevOps to join our Cloud Infrastructure team and help build the next generation of Confluence’s cloud environment.
Added 4 days ago
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Senior IT Infrastructure Administrator, DevOps
Confluence
Toronto, ON
- Full-time
We are looking for a Senior IT Infrastructure Administrator, DevOps to join our Cloud Infrastructure team and help build the next generation of Confluence’s cloud environment.
Added 4 days ago
SS
Tech Lead / Architecte - Marché de Capitaux / Development Lead / Architect – Capital Market
Sky Systems, Inc. (SkySys)
Montreal, QC
- Contract
Titre/Title : Tech Lead / Architecte - Marché de Capitaux / Development Lead / Architect – Capital Market
Added 5 days ago
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Senior Java Software Engineer
Artech
Mississauga, ON
- Contract
We are seeking a Senior Software Developer with deep Java technology expertise to work directly with our Fintech clients in the Spread Products space. This is a hybrid…
Added 5 days ago
M
Senior Java Developer (with LLM expertise)
Miratech
Waterloo, ON
- Full-time
Working Model: This is a hybrid role requiring 2 days per week in a downtown Toronto office
Added 5 days ago
VT
Urgent job openings for iOS & Android Consultants
Vision Talent Co.
Toronto, ON
- Contract
Top Must Haves: 8+ years of Android development and design experience, Java, Kotlin, XML, Jetpack Compose
Added 5 days ago
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Architect
Virtusa
Toronto, ON
- Full-time
Job Summary: We are seeking a Senior QA Automation Engineer who plays a critical role in upholding the quality standards of our software delivery lifecycle. This position is responsible for…
Added 5 days ago
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Performance Engineering Lead
TD
Mississauga, ON · Toronto, ON
- Full-time
Collaborate with the Architect for defining the Workload model, monitor production workloads and performance, and update/refine the workload model.
Added 5 days ago
M
Senior Guidewire PolicyCenter Developer
Maarut
Quebec, QC
- Contract
The senior position focuses on delivering PolicyCenter
Added 6 days ago
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Forward Deployed AI Engineer - Senior Manager
Accenture
Calgary, AB · Vancouver, BC · Ottawa, ON · Toronto, ON
- Full-time
Minimum of 8 years of software engineering experience using Java, TypeScript/JavaScript, or Python
Added 6 days ago
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Cloud Solution Architect - AI Apps - Full-time LOA backfill
Microsoft
Calgary, AB · Vancouver, BC
- Full-time
We are looking for a Cloud Solution Architect (CSA) who is passionate about driving our customers’ application innovation & AI transformation on the Microsoft platform. As part of this…
Added 6 days ago
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Senior Principal Engineer
Autodesk
Toronto, ON
- Full-time
GET Engineering is seeking an experienced Senior Principal Engineer – AI and Engineering Excellence to lead the technical strategy and evolution of our cloud platform, developer experience,…
Added 6 days ago
Senior Staff Software Engineer
EarnIn
Vancouver, BC
We’re looking for an exceptional Senior Staff Software Engineer to serve as the L0 Architect for Live Pay, the product that powers the EarnIn Card. As the team’s lead architect, you’ll own…
Added 6 days ago
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Forward Deployed AI Engineer - Associate Manager
Accenture
Calgary, AB · Vancouver, BC · Ottawa, ON · Toronto, ON
- Full-time
…minimum of 5 years of software engineering experience using Java, TypeScript/JavaScript, or Python and 5 years of experience integrating APIs and building distributed, production…
Added 7 days ago
FG
Software Engineer, Full-Stack Applications (Associate Director)- AI Fluent
Fitch Group
Toronto, ON
- $180,000 to $220,000 CAD / year
…applications used by analysts worldwide, with high visibility to senior leadership and the ability to influence technology strategy across Ratings…
Added 7 days ago
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Development Lead (Back-end Systems)
Air Canada
Toronto, ON
- Full-time
The Development Lead is a senior, hands-on technical leader who drives technical direction, sprint execution, and delivery outcomes within an Agile delivery pod. This role owns technical…
Added 7 days ago
UC
Senior AI Developer
UniSysTech Consulting
Toronto, ON · Greater Toronto and Hamilton Area, ON
- Other
Hybrid Model: Requirement to work 2 days per week in-office at our Downtown Toronto office, with up to 3 days remote flexibility.
Added 7 days ago
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Senior Java Engineer – Agentic AI Driven Development
Citi
Mississauga, ON
- Full-time
Lead the design, development, and implementation of complex middleware applications using Java and Spring Boot:Utilize AI-powered code generation tools (e.g., Devin, Copilot, Codex) to…
Added 7 days ago
SF
Senior Mobile Consultant, Application Development - Simplii Financial
Simplii Financial
Toronto, ON
- Full-time
You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit
Added 7 days ago
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Senior Staff Software Engineer, Platform
Rippling
Toronto, ON
- Full-time
We're hiring a Senior Staff Engineer to help define the future of Rippling's core platform and AI infrastructure. This is a rare opportunity to work on foundational systems that sit at the…
Added 7 days ago
C
Senior Mobile Consultant, Application Development - Simplii Financial
CIBC
Toronto, ON
- Full-time
You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit
Added 7 days ago
KG
Technical Business Analyst
K&K Global Talent Solutions INC.
Montreal, QC
- Full-time
Able to work with senior leader and architect with guidance of product owner
Added 7 days ago
FG
Associate Director, Full-Stack Applications - Credit Module
Fitch Group
Toronto, ON
- $150,000 to $170,000 CAD / year
…applications used by analysts worldwide, with high visibility to senior leadership and the ability to influence technology strategy across Ratings…
Added 7 days ago
TT
Camunda Architect
Tamanna Technology
Toronto, ON · Greater Toronto Area, Canada
- Contract
We are seeking experienced Senior Camunda Architects for opportunities within GTA. The ideal candidates will combine deep Camunda expertise with strong architecture, integration and…
Added 8 days ago
KG
RPA Platform Engineer
K&K Global Talent Solutions INC.
ON · Ontario, Canada
- Full-time
We are seeking a Senior RPA Platform Engineer to architect, maintain, and scale our enterprise automation ecosystem across hybrid environments, including on-premises architecture, AWS…

Accenture

Forward Deployed AI Engineer - Senior Manager

Calgary, AB, Canada
Vancouver, BC, Canada
Ottawa, ON, Canada
Toronto, ON, Canada

Full-time

Apply on accenture.wd103.myworkdayjobs.com About employer

Applications open in a new tab.

Job details

Job type: Full-time
Posting language: English
Posted: Nov 3, 2026

Original job description

Role Description

This is not a consulting role. It is not a project delivery role. It is not a research position. A Forward Deployed AI Engineer is a production engineer who works 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, adoption, reliability, and scalability. Not delivery milestones. Outcomes.

The market is beginning to understand what leading technology companies have demonstrated: AI products fail not because the models are weak but because deployment is broken. The gap between a successful AI pilot and an AI capability that scales is bridged by engineers who can translate platform capability into measurable business value inside a real enterprise environment. That is this role.

Forward Deployed AI Engineers form the execution spine of our Reinvention Deployment Engineering pods. We are building the largest FDE capability in the services industry. The engineers who join at this stage will define what the role looks like at scale and will have access to the hardest enterprise AI problems in the market across every industry.

Key Responsibilities

Own account-level AI transformation across the client enterprise - from platform selection and architecture through to enterprise-wide adoption and reinvention at scale, leading enterprise AI platform deployments (Anthropic, OpenAI, Microsoft, Google, Salesforce, SAP, or Palantir) across complex, multi-stakeholder client environments and owning the full programme from architecture through adoption and ongoing iteration
Hold full accountability for deployment outcomes at account level: quality, time-to-value, reliability, adoption velocity, scalability, and ROI across multiple concurrent workstreams, with commercial metrics attached - directly reported to client executive leadership

Drive ambiguity to resolution at account scale: translate executive-level strategic intent into production AI systems operating across the enterprise

Lead rapid experimentation at pace: drive ambiguous business problems to working production systems in days or weeks across complex enterprise environments through hands-on prototyping, iteration, and deployment of AI-enabled workflows, agents, copilots, and automations into real operational environments
Define enterprise AI architecture standards and governance frameworks across the client organization, spanning identity, data, security, platform layer, multi-platform integration, multi-system workflow integration at programme scale, and AI lifecycle management; architect and govern enterprise AI solutions across the full technology stack, including prompt and workflow design, API integrations and orchestration, enterprise knowledge integration, and privacy considerations; provide technical leadership and best practices for responsible, secure, and scalable AI deployment
Own the relationship with client CTO, CFO, and CISO: shape AI investment strategy, board level narrative, and multi-year reinvention roadmap; build value architecture, ROI backlogs, use case prioritization frameworks, and multi-year AI adoption roadmaps
Codify delivery learnings, failure patterns, and engineering standards into reusable reinvention blueprints, patterns, accelerators, and playbooks that define what enterprise AI reinvention looks like - assets that scale across markets, industries, and the FDE practice globally; grow the FDE practice and enable the next generation of forward deployed engineers
Lead executive workshops, board-level engagements, architecture design sessions, code-with sessions with client engineering and C-suite leadership teams, and cross-practice architecture reviews that shape the client’s AI reinvention trajectory
Work directly with clients and internal teams to understand business problems, shape AI use cases, and define technical solutions from ambiguous or evolving requirements; serve as the technical bridge between product, engineering, data, and business stakeholders, ensuring solutions are technically sound, usable, and aligned with business value
Design and implement end-to-end AI solutions, integrating LLMs and AI services such as OpenAI, Anthropic, and Gemini with enterprise platforms including SAP, ServiceNow, Salesforce, data platforms, and internal systems

At Accenture, we hire the best people and help them become even better through world-class training, career counseling, mentoring and support to help you maintain professional success.

Travel may be required for this role. The amount of travel will vary from 25% to 75% depending on business need and client requirements.

Basic Qualifications

Required qualifications

Bachelor’s degree or college diploma in a related field.

10–15 years of engineering experience with cloud-native systems, including APIs, microservices, containerization, and serverless architectures.
Minimum of 8 years of software engineering experience using Java, TypeScript/JavaScript, or Python
Minimum of 8 years of experience integrating APIs and building distributed, production systems

Minimum of 1 year of experience designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments

Minimum of 1 year of hands-on experience applying AI-native and agentic software development practices across the software development lifecycle, including spec-driven development and the use of AI coding agents to accelerate software design, coding, testing, debugging, modernization, documentation, and delivery.
Minimum of 1 years of experience working with AI platforms, including OpenAI, Claude, Vertex AI, or open-source models, with experience working with enterprise AI platforms such as Anthropic, OpenAI, Microsoft, Google, Salesforce, SAP, or Palantir

Experience building abstraction layers to manage multi-provider AI pipelines

10–15 years of experience leading, managing, and developing software engineering teams, including delivery oversight, resource allocation, performance management, development planning, and professional development of direct reports
Minimum of 8 years of experience in client-facing communication and collaboration, including leading technical discussions, workshops, or delivery sessions under ambiguity, with experience leading executive workshops, architecture design sessions, or cross-functional technical engagements
Minimum of 8 years of experience translating high-level business needs into concrete technical designs and implementations in large enterprise-wide organizations or a professional services firm
Demonstrated end-to-end delivery ownership in a client-embedded environment, including experience leading enterprise AI deployments across multi-stakeholder environments

Experience working directly with enterprise clients on AI deployment initiatives

Experience defining enterprise AI architecture standards, including identity, data, security, governance, multi-system integrations, and AI lifecycle management

Experience working with executive stakeholders (CTO, CFO, CISO) on AI strategy and investment decisions

Experience leading executive workshops, board-level engagements, architecture design sessions, or cross-functional architecture reviews

Experience developing reusable deployment frameworks or playbooks
Experience contributing to the development of engineering standards, practice models, or capability frameworks

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 $142,050 to $292,000

and

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.

Apply on accenture.wd103.myworkdayjobs.com About employer

More about this job

Responsibilities

Lead enterprise-wide AI transformation and deployment by architecting production-ready systems and driving adoption within complex client environments. Manage executive relationships, define AI strategy, and oversee the full lifecycle of AI-enabled workflows and agentic solutions.

Requirements

Requires 10-15 years of engineering experience with cloud-native systems and a minimum of 8 years in software engineering using Java, TypeScript, or Python. Candidates must have demonstrated experience in leading AI deployments, managing engineering teams, and translating business needs into technical architecture.

Skills

Artificial Intelligence
Cloud-native systems
Software engineering
Java
TypeScript
JavaScript
Python
API integration
Agentic solutions
RAG
Enterprise architecture
Stakeholder management
Strategic planning
Team leadership
Project management
Data governance

Benefits

Training
Career counseling
Mentoring

Visa sponsorship

Not detected in the job text

Keywords

AI Engineer
Cloud-native
Microservices
Containerization
Serverless
LLM
Anthropic
OpenAI
Vertex AI
SAP
Salesforce
Palantir
RAG
Agentic workflows
API
Enterprise AI
Governance
Data architecture
Prompt engineering
Orchestration
Digital core
Strategy
Consulting
Performance management
ROI
Scalability
Reliability
Automation
Copilots

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Work requirements

Jobs in Canada