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Added 5 mins ago
S
Senior Principal, Transformation Management
Slalom
Toronto, ON · Greater Toronto Area, Canada
- Full-time
As a Senior Principal in Transformation Management at Slalom, you will provide executive-level leadership for complex, enterprise-scale transformations, primarily serving Financial Services…
Added 20 mins ago
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Bilingual Sales Ops Specialist
Arctiq
Montreal, QC
- Full-time
Arctiq is a leader in professional IT services and managed services across three core Centers of Excellence: Enterprise Security, Modern Infrastructure and Platform Engineering. Renowned…
Added 20 mins ago
A
Technology - Senior Architect/Architect, Cybersecurity
Aritzia
Vancouver, BC
- Full-time
…the business to operate and innovate securely. As the Senior Architect/Architect, Cybersecurity, you will define secure architectures, reusable security patterns, and reference…
Added 35 mins ago
A
Technology - Senior Architect/Architect, Cybersecurity
Aritzia
Vancouver, BC
- Full-time
…the business to operate and innovate securely. As the Senior Architect/Architect, Cybersecurity, you will define secure architectures, reusable security patterns, and reference…
Added 50 mins ago
Solution Architect
PCL Construction
Edmonton, AB
As an Solution Architect for PCL Constructors Inc. in Edmonton, Alberta (Corporate), you'll have the opportunity to design and deliver scalable enterprise data, analytics and AI…
Added 50 mins ago
Principal System Engineer
Backbase
Toronto, ON
…the driving force behind our strategic technical direction, platform reliability, and system resilience. This is an influential role where you will balance the hands-on resolution of…
Added 1 hour ago
AS
Senior Solution Architect – AWS / .NET / Angular / React
Aequilibrium Software Inc.
Remote, Canada
- Contract
- Remote
Project: Digital Transformation – Cloud-Based Learning Platform
Added 1 hour ago
BI
Pega Lead System Architect @ Toronto, Canada Hybrid
BURGEON IT SERVICES
Toronto, ON
- Contract
The Pega Lead System Architect is responsible for the end-to-end architecture, technical design, development governance, and successful implementation of enterprise applications built on…
Added 1 hour ago
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Staff Back End Engineer (Data Platform)
Forma.ai
Toronto, ON
- Full-time
Architect data models representing hierarchical & graph structures, relationships, and large-scale enterprise datasets.
Added 2 hours ago
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Data Architect - Canada Region
Slalom
Vancouver, BC · Greater Vancouver Metropolitan Area
- Full-time
…trusted by leaders across the Global 1000, many successful enterprise and mid-market companies, and 500+ public sector organizations to improve operations, drive growth, and create…
Added 2 hours ago
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Infrastructure Solution Architect
LotusFlare
Toronto, ON
- Full-time
…continuously advance a cloud-native digital commerce and monetization platform that simplifies technology and customer experience to deliver valuable outcomes to enterprises. This platform…
Added 2 hours ago
VI
MS Dynamics CRM Architect
Veriday Inc.
Toronto, ON
- Contract
Veriday is seeking an experienced Microsoft Dynamics CRM Architect with strong C# and .NET development experience to support our client.
Added 2 hours ago
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Infrastructure Solution Architect
LotusFlare
Toronto, ON
- Full-time
…continuously advance a cloud-native digital commerce and monetization platform that simplifies technology and customer experience to deliver valuable outcomes to enterprises. This platform…
Added 3 hours ago
AI
Lead Middleware Platform Architect
Aptino, Inc.
Quebec, QC
- Contract
We are looking for an experienced Lead Middleware Platform Architect to lead the design, implementation, automation, and operationalization of enterprise middleware and platform…
Added 3 hours ago
VD
Senior Salesforce Architect - Canada
Vasa Digital Architects
Canada
- Full-time
We are looking for an experienced Salesforce Architect who brings more than technical expertise. We need someone who understands business challenges, can advise senior stakeholders,…
Added 3 hours ago
ST
Pega Lead System Architect
Silverlink Technologies
Toronto, ON
- Contract
· Pega Certified Lead System Architect (PCLSA/CLSA) certification.
Added 3 hours ago
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Account Manager, Enterprise Sales
SOTI
Mississauga, ON
- Full-time
Model and architect what a strategic relationship with SOTI would look like across the partnership lifecycle, including identifying trends and cross industry solutions that will…
Added 3 hours ago
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Forward Deployed AI Engineer - Associate Manager
Accenture
Calgary, AB · Vancouver, BC · Ottawa, ON · Toronto, ON
- Full-time
…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…
Added 4 hours ago
KG
Enterprise Data Architect – Snowflake & Cortex
K&K Global Talent Solutions INC.
ON · Ontario, Canada
- Full-time
The Enterprise Data Architect is responsible for defining end-to-end architecture for AWS Snowflake-based data, analytics, and AI platforms. Operating at the intersection of data…
Added 4 hours ago
KG
Salesforce Tech Lead
K&K Global Talent Solutions INC.
Toronto, ON
- Full-time
Experience with Salesforce Shield, Event Monitoring, Platform Encryption, and enterprise compliance frameworks.
Added 4 hours ago
NS
Senior Data Architect
Nimble Science
Calgary, AB
- Full-time
As a Data Architect you will play a key role in developing the architecture and platform to collect and build high-quality data sets for use in downstream analysis. Reporting to the VP Data…
Added 5 hours ago
CS
Azure data architect
Confiar Services
Toronto, ON
- Contract
We are seeking an experienced Azure Data Architect to design and lead secure, scalable enterprise data solutions on Azure. The ideal candidate will have strong expertise in Azure…
Added 5 hours ago
AI
Principal Consultant – AWS Data Platforms & Agentic AI
Apptoza Inc.
Toronto, ON
- Contract
You are neither a strategy-only Enterprise Architect nor solely a delivery-focused Data Engineer.
Added 5 hours ago
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Business Intelligence Specialist
Bevertec
Toronto, ON
- Contract
We are seeking a Senior Cloudera Data Lake Platform Consultant (Business Intelligence Specialist - Level 3) to provide critical operational support, infrastructure maintenance, and…
Added 5 hours ago
SI
Sr. DevSecOps Cloud Specialist
Smart IT Frame LLC
Mississauga, ON
- Contract
The successful candidate will be responsible for securing, automating, and operating enterprise-grade hybrid cloud platforms across AWS, Azure, and on-premises environments. This role is…

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

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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.

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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

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