Jobs in Canada

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Added 9 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 9 days ago
H
Application Architect SAP BTP FIORI
Hays
Calgary, AB
- Contract
Candidate Must have worked in SAP BTP Cloud Development
Added 9 days ago
Data Engineer - Snowflake, dbtCore/Cloud, AWS
Aviva
Markham, ON
…you will contribute to the design and implementation of data solutions that support our growing business and next-generation Snowflake platform. This role offers the opportunity to make a…
Added 10 days ago
ZS
DevOps Architect
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Must Have Skills:
Added 10 days ago
BC
Data Architect
BrainRidge Consulting
Toronto, ON
- Full-time
…thrive in the digital age, we provide cutting-edge technology solutions and strategic guidance to drive innovation and growth. As we continue to grow, we are seeking a motivated and…
Added 10 days ago
MD
Application Developer - ITS3
Minnesota Direct Care and Treatment
Saint-Paul, NB · St.-Paul, NB
- Full-time
Work Shift/Work Hours: Day Shift / 8:00 AM - 4:30 PM
Added 10 days ago
A
Forward Deployed AI Engineer - Senior Manager
Accenture
Calgary, AB · Vancouver, BC · Ottawa, ON · Toronto, ON
- Full-time
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…
Added 10 days ago
M
Cloud Solution Architect - AI Apps - Full-time LOA backfill
Microsoft
Calgary, AB · Vancouver, BC
- $69,600 to $132,500 CAD / year
- 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 10 days ago
A
Senior Principal Engineer
Autodesk
Toronto, ON
- $157,000 to $229,900 CAD / year
- Full-time
…Infrastructure, and Product teams to deliver enterprise-scale platform solutions. The ideal candidate combines deep expertise in AWS, Kubernetes, CI/CD, Infrastructure as Code,…
Added 11 days ago
S
Data Architect - Canada Region
Slalom
Vancouver, BC · Greater Vancouver Metropolitan Area
- Full-time
As a Data Architect, you will help clients design and deliver modern, scalable data platforms that enable analytics, AI, machine learning, and Generative AI solutions. Working closely with…
Added 11 days ago
T
Lead Java Developer
Tekshapers
Toronto, ON
- Full-time
Architect and implement integration solutions using REST/SOA, Apache Kafka, RabbitMQ, event-driven architecture and API Gateway solutions.
Added 11 days ago
A
Forward Deployed AI Engineer - Associate Manager
Accenture
Calgary, AB · Vancouver, BC · Ottawa, ON · Toronto, ON
- Full-time
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…
Added 11 days ago
FG
Software Engineer, Full-Stack Applications (Associate Director)- AI Fluent
Fitch Group
Toronto, ON
- $180,000 to $220,000 CAD / year
…conferences, mentorship opportunities, and clear paths to principal/architect/leadership tracks as you establish yourself as a thought…
Added 11 days ago
AC
Development Lead (Back-end Systems)
Air Canada
Toronto, ON
- Full-time
…predictability, code quality, and release readiness, ensuring solutions align with enterprise architecture, engineering standards, and business…
Added 11 days ago
C
Senior Java Engineer – Agentic AI Driven Development
Citi
Mississauga, ON
- Full-time
Architect and optimize database interactions with Oracle, SQL, and MongoDB, ensuring high performance and data integrity: Employ AI to analyze database query performance, suggest advanced…
Added 11 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 11 days ago
R
Senior Staff Software Engineer, Platform
Rippling
Toronto, ON
- Full-time
Translate ambiguous business and product requirements into elegant, durable technical solutions
Added 11 days ago
L
Regular Java Developer
Luxoft
Mississauga, ON
- Full-time
- Enhance/Re-architect existing components to satisfy new requirements in terms of performance and scalability
Added 11 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 12 days ago
Consultant en Déploiement - Apprentissage automatique | Delivery Consultant - Machine Learning, ProServe Shared Delivery Team - Data & AI
Amazon
Calgary, AB · Vancouver, BC · Toronto, ON · Montreal, QC
Êtes-vous enthousiaste à l’idée de créer des solutions logicielles autour de grands systèmes complexes d’apprentissage automatique (AA) et d’intelligence artificielle (IA) ? Souhaitez-vous…
Added 12 days ago
Azure Cloud Architect - Manager
EY
Edmonton, AB · AB · Vancouver, BC · Victoria, BC · Winnipeg, MB · Dieppe, NB · Saint John, NB · St. John's, NL · Halifax, NS · London, ON · Ottawa, ON · Toronto, ON · ON · Saskatoon, SK · Calgary, AB · Waterloo, ON
To Qualify for the role, you must have
Added 12 days ago
TT
Camunda Architect
Tamanna Technology
Toronto, ON · Greater Toronto Area, Canada
- Contract
Lead the architecture and design of enterprise workflow and process orchestration solutions using Camunda.
Added 12 days ago
SG
Software Engineer – Full-Stack (React, TypeScript, Java)
S&P Global
Toronto, ON
- Full-time
…Intelligence, delivers information-centric capital markets and risk solutions for trading desks and their risk management partners - spanning counterparty credit risk, xVA, market risk, and…
Added 12 days ago
SG
Software Engineer – Full-Stack (React, TypeScript, Java)
S&P Global
Toronto, ON
- Full-time
…Intelligence, delivers information-centric capital markets and risk solutions for trading desks and their risk management partners - spanning counterparty credit risk, xVA, market risk, and…
Added 14 days ago
I
Systems architect
iSteer
Toronto, ON
- Full-time
Develop flowcharts, layouts and documentation to identify solutions

Accenture

Forward Deployed AI Engineer - Associate Manager

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

Role Location Annual Salary Range British Columbia/Ontario/New Brunswick $100,300 to $216,700 · Full-time

Apply on accenture.wd103.myworkdayjobs.com About employer

Applications open in a new tab.

Job details

Pay: Role Location Annual Salary Range British Columbia/Ontario/New Brunswick $100,300 to $216,700
Job type: Full-time
Experience: Minimum of 1 year of experience designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments
Posting language: English
Posted: Nov 3, 2026

Original job 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-Associate Manager 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

Lead enterprise AI platform deployments across complex multi-stakeholder client environments - Anthropic, OpenAI, Microsoft, Google, Salesforce, SAP, or Palantir - owning the full programme from architecture through adoption and ongoing iteration, with accountability for quality, time-to-value, reliability, adoption velocity, and scalability across multiple concurrent workstreams, with commercial metrics attached.
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.
Architect and govern enterprise AI solutions across the full technology stack: identity, data, security, governance, platform layer, and multi-system workflow integration at programme scale, 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.

Shape AI reinvention strategy for client CTO, CFO, and CISO: 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, and accelerators; define and publish these assets to scale across multiple client engagements, grow the FDE practice, and enable the next generation of forward deployed engineers.

Lead architecture design sessions, executive workshops, and code-with sessions with client engineering and C-suite leadership teams

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.

Minimum of 7 years of engineering experience with cloud-native systems, including APIs, microservices, containerization, and serverless architectures, including a 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 systems.

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

Minimum 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 year of experience with AI platforms (OpenAI, Claude, Vertex AI, or open-source models), including building abstraction layers for multi-provider pipelines, with experience working with enterprise AI platforms such as Anthropic, OpenAI, Microsoft, Google, Salesforce, SAP, or Palantir.
Minimum of 7 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 5 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 5 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 defining enterprise AI architecture across identity, data, security, governance, and multi-system integrations
Experience working directly with senior stakeholders (CTO, CFO, CISO) on AI strategy and investment decisions

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 $100,300 to $216,700

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 AI platform deployments and rapid experimentation across complex multi-stakeholder environments to drive measurable business value. Architect end-to-end AI solutions while providing technical leadership and shaping AI reinvention strategies for C-suite executives.

Requirements

Requires a bachelor's degree and at least 7 years of engineering experience, including 5 years in software development and team leadership. Candidates must have hands-on experience with AI-native practices, agentic workflows, and large-scale enterprise system integration.

Skills

Enterprise AI
Cloud-native systems
Java
TypeScript
JavaScript
Python
API integration
Agentic solutions
RAG
LLM orchestration
Software engineering
Technical leadership
Stakeholder management
Architecture design
Prompt engineering
Distributed systems

Benefits

Training
Career counseling
Mentoring

Visa sponsorship

Not detected in the job text

Keywords

AI Engineer
Cloud-native
Microservices
Containerization
Serverless
Java
TypeScript
Python
APIs
LLM
OpenAI
Anthropic
Vertex AI
RAG
Agentic workflows
Enterprise AI
Architecture
Data governance
Security
Prompt engineering
SAP
Salesforce
ServiceNow
Palantir
Reinvention
Strategy
ROI
Technical leadership
Distributed systems

Seniority

Manager

Tools

OpenAI
Anthropic Claude
Vertex AI
SAP
ServiceNow
Salesforce
Palantir

Languages

English

Fields of study

related engineering field

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Work requirements

Jobs in Canada