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Added 8 mins ago
Staff Software Engineer, Messaging Experience
Braze
Toronto, ON
…sophisticated real-time and batch processing of massive amounts of data, providing analytics, automated decision-making, and an industry-leading customer engagement tool. With Canvas, our…
Added 8 mins ago
PM
Senior Account Director
PUSH Media
Toronto, ON
- $130,000 to $150,000 CAD / year
- Full-time
…built around real business outcomes. Our proprietary STRATIS platform puts AI to work across planning, insight, and reporting, helping our teams move faster and make sharper decisions for…
Added 8 mins ago
B
Staff Software Engineer, Messaging Experience
Braze
Toronto, ON
- Full-time
…sophisticated real-time and batch processing of massive amounts of data, providing analytics, automated decision-making, and an industry-leading customer engagement tool. With Canvas, our…
Added 38 mins ago
Staff Technical Program Manager - AI/ML
PlayStation Global
Waterloo, ON
This role sits inside an AI/ML Engineering organization delivering production machine learning systems at platform scale, personalization, recommendation, experimentation, or trust & safety…
Added 38 mins ago
M
Senior Project Enablement Lead
McKesson
Mississauga, ON
- Full-time
The Senior Project Enablement Lead supports high-impact transformation work across HR Services, Workforce Experience, product and service teams. You will bring structure to cross-functional…
Added 38 mins ago
K
Manager, Supply Chain Transformation
KPMG
Montreal, QC
- Full-time
Advise senior executives on their planning challenges, transformation priorities, governance models, and opportunities for performance improvement.
Added 38 mins ago
K
Senior Consultant, Procurement Transformation
KPMG
Montreal, QC
- Full-time
We are looking for a senior analytical consultant who is versatile and results-oriented to join our Supply Chain Transformation team.
Added 38 mins ago
WT
Senior Java Software Engineer
Wissen Technology
Montreal, QC
- Full-time
…Software Engineering, Generative AI & Machine Learning, Real-Time Data Analytics & Insights, Interactive Data Visualization & Decision Intelligence, Intelligent Process Automation,…
Added 53 mins ago
M
Full Stack Engineer
Manulife
Toronto, ON · Waterloo, ON
- Full-time
You will work independently on most assignments while collaborating with senior engineers when addressing new or complex challenges. This role is well suited to an engineer who wants to…
Added 1 hour ago
PG
Senior Application Security Engineer
Paymentus Group Inc
Richmond Hill, ON
- Full-time
The Senior Application Security Engineer is responsible for helping secure the Paymentus SaaS platform by partnering directly with software engineering, product, cloud infrastructure,…
Added 1 hour ago
C
Senior Machine Learning Developer
Clera
Remote, Canada
- $200,000 to $250,000 CAD / year
- Full-time
- Remote
Join a product and platform team building conversational AI for phone and SMS interactions. You will take machine learning and LLM features from prototype through production, helping voice…
Added 1 hour ago
TR
Sr. Digital Product Manager
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
- Full-time
We are looking for a Senior Product Manager who can help us shape the future. We want a data-driven leader with a passion for innovation who likes working backwards from the customer and…
Added 1 hour ago
T
Data Designer II
TD
Toronto, ON
- Full-time
Gather and translate business data extraction and consumption requirements into technical specifications. Ensure proper data ingestion, curation, and consumption.
Added 1 hour 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 1 hour ago
C
Customer Success Manager - Enterprise
Caribou
Toronto, ON
- Full-time
Customer Success at Caribou combines consulting, project and relationship management, analytics, data storytelling, and applying behavioral psychology principles to caregiver engagement…
Added 1 hour ago
ES
Senior Data Engineer
Exchange Solutions
Toronto, ON · Greater Toronto Area, Canada
- Full-time
The Senior Data Engineer reports to the Director, Information Technology Operations and designs, builds, and scales the data systems that support analytics, AI-enabled experiences, and…
Added 1 hour ago
A
Technology - Senior Architect/Architect, Cybersecurity
Aritzia
Vancouver, BC
- Full-time
…secure technology solutions that protect Aritzia’s systems and data, reduce cybersecurity risk, and enable the business to operate and innovate securely. As the Senior Architect/Architect,…
Added 2 hours ago
A
Technology - Senior Architect/Architect, Cybersecurity
Aritzia
Vancouver, BC
- Full-time
…secure technology solutions that protect Aritzia’s systems and data, reduce cybersecurity risk, and enable the business to operate and innovate securely. As the Senior Architect/Architect,…
Added 2 hours ago
WO
Senior Accountant, Properties
WP Osborne Executive Search Inc.
Toronto, ON
- Full-time
The Senior Accountant will oversee assigned areas of the month-end review process, including revenue, expenses, assets, and liabilities, through the analysis of property-level variance…
Added 2 hours ago
TC
Agentic AI Engineer
Tata Consultancy Services
Mississauga, ON
- $100,000 to $130,000 CAD / year
- Full-time
Senior years of software engineering experience, including 5+ years designing and building enterprise AI/ML platforms.
Added 2 hours ago
T
Manager, Business Management & Strategic Initiatives
TD
Toronto, ON
- Full-time
Reporting to the Senior Manager, Business Integration, the Manager, Business Performance & Strategic Initiatives role requires a highly analytical and strategic problem solver with strong…
Added 2 hours ago
MC
Senior Software Developer
Meridian Credit Union
St. Catharines, ON · Toronto, ON · Etobicoke, ON
- Full-time
Experience in cross platform mobile app development – RactNative(Nice to Have)
Added 2 hours ago
OT
Principal Product Manager
Open Text Corporation
Waterloo, ON
- Other
…business needs, user feedback, governance requirements, and platform performance with measurable…
Added 2 hours ago
C
Applications Engineering Lead - Senior Vice President
Citi
Mississauga, ON
- Full-time
The Applications Development Engineering Lead is a senior level position responsible for establishing and implementing new or revised application systems and programs while driving…
Added 2 hours ago
PC
Transaction Services Manager - Financial Services (Bilingual FR/EN)
PwC Canada
Montreal, QC
- Full-time
…originate, create, execute, and realise value from deals. Through data driven insights we help our clients move in the right direction ensuring maximum value for their…

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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