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Added 21 mins ago
KC
Senior Manager, Data Platform(s) Architect, Data & AI
KPMG Canada
Toronto, ON
- Full-time
Cloud proficiency in Azure/AWS/GCP including identity, networking, security, and integration with data services.
Added 21 mins ago
P
Senior Data Engineer (Lead)
Punt
Vancouver, BC
- $130,000 to $170,000 CAD / year
- Full-time
As the team's technical lead, you'll own that foundation and set its technical direction. This is a hands-on role: you'll write production code, make architecture decisions, own the…
Added 54 mins ago
P
Staff Software Developer, Payments Team
Plusgrade
Montreal, QC · CAN - Montreal
- Full-time
You deploy and monitor cloud applications in AWS or hybrid environments using Docker and tools like Datadog, treating reliability, security, and observability as non-negotiable fundamentals.
Added 1 hour ago
7
Senior Security Engineer
7shifts
Saskatoon, SK
- $140,000 to $170,000 CAD / year
- Full-time
Lead vulnerability management end to end with our development teams, from assessment and prioritization through to remediation
Added 1 hour ago
7
Senior Security Engineer
7shifts
Toronto, ON
- $140,000 to $170,000 CAD / year
- Full-time
Lead vulnerability management end to end with our development teams, from assessment and prioritization through to remediation
Added 1 hour ago
BS
Lead Senior Developer
Bentley Systems
Quebec, QC · Canada Quebec QC Office
- Full-time
This role requires strong hands-on expertise in React-based frontend development, cloud-native solutions on Microsoft Azure, and CI/CD practices using Azure DevOps. As Lead Senior…
Added 1 hour ago
S
Team Lead, Software Development
Seequent
Calgary, AB · Canada Calgary AB Office
- Full-time
Reporting to the Manager, Software Engineering, the Team Lead, Software Development leads a team of technical professionals who collaborate with researchers and AI scientists to deliver…
Added 1 hour ago
SS
Développeur(euse) logiciel senior Full Stack/Full Stack Senior Software Developer
SITA Switzerland Sarl
Montreal, QC
- Full-time
Champion SITA-approved AI-assisted development tools, to improve productivity, code quality, testing, documentation, and overall software delivery while complying with security and…
Added 1 hour ago
C
Principal Technical Consultant, Google Cloud (GCP)
CWX
Vancouver, BC
- Full-time
As a Principal Technical Consultant specializing in Google Cloud Platform (GCP), you will be a senior technical leader within our Google Cloud consulting practice. Leveraging your deep…
Added 1 hour ago
M
Delivery Project Lead- Cloud Devops Engg
Mphasis
Calgary, AB
- Full-time
We are seeking a highly skilled Delivery Project Lead to oversee and manage the delivery of projects within our organization. The ideal candidate will possess strong knowledge of Google…
Added 1 hour ago
HB
Sr. DevOps Engineer
Haventree Bank
Toronto, ON
- Full-time
Reporting to the Lead DevOps Engineer at Haventree Bank, you will be responsible for designing, implementing and managing a secure and efficient DevOps process as well as cloud…
Added 2 hours ago
AW
Portfolio Architect
Agilus Work Solutions
Calgary, AB
- Contract
We are seeking an experienced Portfolio Architect, Technology Resilience to lead the development of enterprise-wide resilience architecture within a complex, highly regulated environment.…
Added 2 hours ago
A
Ecosystem Business Development Senior Manager
Accenture
Calgary, AB · Vancouver, BC · Ottawa, ON · Toronto, ON
- Full-time
…across Accenture’s Google business by originating, shaping, and advancing opportunities centered on Google’s AI, Data, Customer Experience, Security, and Industry…
Added 2 hours ago
A
Forward Deployed AI Engineer
Accenture
Calgary, AB · Vancouver, BC · Ottawa, ON · Toronto, ON
- Full-time
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
Added 2 hours ago
A
Forward Deployed AI Engineer - Senior Manager
Accenture
Calgary, AB · Vancouver, BC · Ottawa, ON · Toronto, ON
- Full-time
Define enterprise AI architecture standards and governance frameworks across the client organization, spanning identity, data, security, multi-platform integration, and AI lifecycle…
Added 2 hours ago
C
Senior Java Developer Solution Architect - Vice President
Citi
Mississauga, ON
- Full-time
We’re seeking a seasoned Senior Java Developer Solution Architect with 6+ years of experience to lead end-to-end technical design and delivery of mission‑critical systems. You will own…
Added 2 hours ago
SL
Director Application, Data & Integration
Smythe LLP
Vancouver, BC
- Full-time
The Director will also build Smythe’s data engineering and analytics capabilities and lead the integration architecture that connects the firm’s core systems. This is a capability-building…
Added 2 hours ago
PC
Lead Data Consultant, Manager
PwC Canada
Toronto, ON
- Full-time
Lead the architecture, design and delivery of scalable, secure and resilient cloud data platforms and data engineering solutions across Azure, GCP and/or AWS.
Added 2 hours ago
SL
Director Application, Data & Integration
Smythe LLP
Vancouver, BC
- Full-time
The Director will also build Smythe’s data engineering and analytics capabilities and lead the integration architecture that connects the firm’s core systems. This is a capability-building…
Added 2 hours ago
CT
SECURITY ARCHITECT
Chrome Technologies
Toronto, ON
- Full-time
Lead security reviews of solution and domain architectures, ADRs, and AI-enabled platforms.
Added 3 hours ago
I
Sterling integrator administration Consultant
Infosys
Mississauga, ON
- Full-time
…Consultant. As an IBM Sterling Integrator platform administration Lead Consultant, who understands On Prem and Cloud server infrastructure landscape. Has handled sterling integrator…
Added 3 hours ago
SS
Senior Platform Engineer (SRE), AI Solutions
System Soft Technologies
Montreal, QC
- Full-time
This senior SRE-level role builds and runs that foundation - managed platforms, golden-path blueprints, and observability that let product pods ship fast and operate with confidence. You…
Added 3 hours ago
A
Application Lead
Accenture
Calgary, AB
- Full-time
As an Application Lead, you will lead the design, build, configuration, and maintenance of enterprise applications while serving as the primary point of contact for technical delivery. This…
Added 3 hours ago
TG
Principal Automation Engineer (12 Month Contract)
TMX Group
Toronto, ON
- $125 to $145 CAD / hour
- Full-time
…Infrastructure as Code (IaC), leveraging Ansible Automation Platform and Terraform to build standardized, self-service pipelines across our hybrid-cloud environment (on-premise, OpenShift,…
Added 3 hours ago
C
Senior Java Back - End Developer - Assistant Vice President
Citi
Mississauga, ON
- Full-time
We’re seeking a seasoned Senior Java Back - End Developer with 5+ years of experience to lead end-to-end technical design and delivery of mission‑critical systems. You will own architecture…

Accenture

Forward Deployed AI Engineer - Senior Manager

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

Full-time

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Job details

Job type: Full-time
Posting language: English
Posted: Oct 19, 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
Hold full accountability for deployment outcomes at account level: time-to-value, reliability, adoption, and ROI - 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
Define enterprise AI architecture standards and governance frameworks across the client organization, spanning identity, data, security, multi-platform integration, and AI lifecycle management
Own the relationship with client CTO, CFO, and CISO: shape AI investment strategy, board level narrative, and multi-year reinvention roadmap
Codify reusable patterns and playbooks that define what enterprise AI reinvention looks like - assets that scale across markets, industries, and the FDE practice globally
Lead executive workshops, board-level engagements, and cross-practice architecture reviews that shape the client’s AI reinvention trajectory

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 1 year of experience designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments
Minimum of 7 years of experience working with AI platforms, including OpenAI, Claude, Vertex AI, or open-source models
Experience building abstraction layers to manage multi-provider AI pipelines
10–15 years of experience leading software engineering teams, including delivery oversight, resource allocation, and professional development of direct reports
Demonstrated end-to-end delivery ownership in a client-embedded environment
Experience working directly with enterprise clients on AI deployment initiatives
Experience defining enterprise AI architecture standards, including identity, data, security, 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, 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.

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More about this job

Responsibilities

The Forward Deployed AI Engineer will lead account-level AI transformations by embedding within client teams to ensure successful deployment, scalability, and adoption of AI platforms. They are responsible for defining enterprise AI architecture standards and managing relationships with executive stakeholders to drive strategic AI investment and roadmap execution.

Requirements

Candidates must have 10-15 years of engineering experience with cloud-native systems and at least 7 years of experience working with AI platforms. A bachelor's degree is required, along with a proven track record of leading software engineering teams and delivering AI solutions in complex enterprise environments.

Skills

Cloud-native systems
APIs
Microservices
Containerization
Serverless architectures
Agentic solutions
Orchestration
Context engineering
RAG
AI platforms
OpenAI
Claude
Vertex AI
Software engineering leadership
Enterprise architecture
Stakeholder management

Visa sponsorship

Not detected in the job text

Keywords

AI Engineer
Cloud-native
Microservices
Containerization
Serverless
Agentic solutions
RAG
OpenAI
Claude
Vertex AI
Enterprise AI
Architecture
Governance
Data security
AI lifecycle management
CTO
CFO
CISO
Software engineering
Deployment engineering
Strategy
Consulting
API
Multi-provider pipelines
Reinvention
Digital core
Scalability
Reliability
ROI
Transformation

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