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Added 8 mins ago
O
Sr. Lead Specialist-Sales Support
OnX
Ottawa, ON
- Full-time
- Collaborate with the sales team and infrastructure solution Architect to tailor solutions that meet client needs.
Added 8 mins ago
TC
Salesforce Revenue Cloud Architect
Tata Consultancy Services
ON · Ontario, Canada
- $100,000 to $120,000 CAD / year
- Full-time
Architect and design Salesforce Revenue Cloud solutions supporting Quote-to-Cash processes.
Added 8 mins ago
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- Full-time
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Added 24 mins ago
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Senior Consultant - Data & Solution Architect (MS Fabric)
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- Full-time
…discipline you master and a story you help write to become a Keyrus Architect of…
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Montreal, QC
- Full-time
Wepoint is the architect of major transformations for businesses and public sector organizations.
Added 24 mins ago
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Analyste d'affaires
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- Full-time
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Added 38 mins ago
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Software Architect
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- Full-time
…non-human identity governance. We are looking for a Software Architect to define and implement the technical architecture while ensuring compliance with modern cryptographic and security…
Added 38 mins ago
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Sr. Practice Consultant-Public Cloud
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Toronto, ON
- Full-time
The Senior Practice Consultant – Data & AI serves as a trusted multicloud architect and solution lead within OnX's Data & AI practice, guiding clients through the design and delivery of…
Added 38 mins ago
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GCP Infrastructure & Cloud SRE Engineer
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Toronto, ON
- $90,000 to $100,000 CAD / year
- Full-time
GCP Professional Cloud Architect and/or Professional Cloud DevOps Engineer certification.
Added 38 mins ago
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Cybersecurity Architect
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Toronto, ON · North York, ON
- Contract
Added 40 mins ago
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Cloud Solutions Architect
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Remote, Canada
- Full-time
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🏗️ Are you a cloud architect who can design a platform from a blank page and stay hands-on to build it?
Added 40 mins ago
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Cloud Solutions Architect
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Remote, Canada
- Full-time
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🏗️ Are you a cloud architect who can design a platform from a blank page and stay hands-on to build it?
Added 40 mins ago
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Cloud Solutions Architect
STACK IT Recruitment
Remote, Canada
- Full-time
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🏗️ Are you a cloud architect who can design a platform from a blank page and stay hands-on to build it?
Added 40 mins ago
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Cloud Architect
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Remote, Canada
- Full-time
- Remote
🏗️ Are you a cloud architect who can design a platform from a blank page and stay hands-on to build it?
Added 40 mins ago
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Cloud Architect
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Remote, Canada
- Full-time
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🏗️ Are you a cloud architect who can design a platform from a blank page and stay hands-on to build it?
Added 40 mins ago
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Cloud Architect
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Remote, Canada
- Full-time
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🏗️ Are you a cloud architect who can design a platform from a blank page and stay hands-on to build it?
Added 40 mins ago
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Principal Systems Architect
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Salesforce Technical Architect - Financial Services Cloud, Marketing Cloud & Data360 - Manager
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Toronto, ON · Montreal, QC
We're looking for a senior, hands-on technical architect - someone with deep Financial Services Cloud implementation experience who still configures, codes, and builds, not just designs on…
Added 40 mins ago
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We are seeking a highly skilled Technical Architect II to support the evolution, automation, and reliability of Bell's cloud infrastructure. In this role, you will be responsible for…
Added 1 hour ago
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Montreal, QC
- Full-time
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Added 1 hour ago
Senior Security Architect (6 Month Term)
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Ottawa, ON · Toronto, ON
Reporting to the Manager, Security Architecture; the Senior Security Architect is responsible for developing solutions aligned with both business and strategic in maturing the Security…
Added 1 hour ago
Manager, Media Innovation & AI Strategy
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Toronto, ON
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Added 4 hours ago
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Founding CTO
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Montreal, QC
- Full-time
As our Founding CTO, you own all of engineering. In the first phase, you are engineering. You will architect and build the agent, the integrations, and the infrastructure largely with your…
Added 5 hours ago
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Cores Verification Lead
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ON · ONTARIO-HOME OFFICE, Ontario
- Full-time
Architect and implement hyperscale build solutions that enhance performance, reliability, and scalability across AMD's silicon design environments.
Added 7 hours ago
Account Executive, Auto
Google
Toronto, ON
As an Account Executive on this team, you aren't just selling media; you are the growth architect for the leadership of the world's most prominent OEMs in Canada - visionary brands that are…

Accenture

AI Native Solutions Lead (Agentic / Applied)

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

Full-time

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Job details

Job type: Full-time
Posting language: English
Posted: Oct 7, 2026

Original job description

Role Description

You build the systems that actually make AI work in enterprise environments, not demos, not prototypes that stall after a pilot, but production agentic architectures running inside real client organizations. The difference between an AI Solutions Lead and what we are looking for is straightforward: you have shipped a multi-agent system in production, you have owned the eval harness, and you know what happens when your agent fails at 2am because you have lived it.

As an AI Solutions Lead (Agentic/Applied), you will design, build, and deploy production-grade agentic AI systems across the full enterprise technology stack. You will work directly with client development teams, lead technical design sessions, and build reusable patterns and accelerators that scale beyond individual engagements.

This role sits at the heart of the AI development talent market - demand is growing faster than supply and will continue to do so. We offer what no single product company can: breadth across every industry, every enterprise technology stack, and every level of organizational complexity, combined with vendor fellowship access inside Anthropic, OpenAI, Microsoft, and Google technical teams and a direct pathway to the Forward Deployed Solutions Lead program.

Key Responsibilities

Architect and govern production-grade agentic systems at enterprise scale: multi-agent orchestration across complex environments, RAG pipelines, policy-based routing, memory management, and program-level lifecycle observability

Define RAG pipeline standards across engagements: establish chunking and embedding strategies, set quality benchmarks, and ensure metric-backed tradeoff decisions are documented and transferable

Set multi-LLM integration standards: vendor-agnostic architecture by default, fallback routing and cost governance as standard design practice across providers including OpenAI, Anthropic, Vertex AI, and open-source models

Own LLM Ops at program scale: eval strategy, prompt governance, observability tooling standards, safety monitoring and cost controls across multiple concurrent systems

Lead client development engagements at senior level - facilitate architecture design sessions, lead proof-of-concept delivery, and drive alignment between client technology leadership and delivery teams

Shape and publish reusable patterns, accelerators, and development standards that scale across the practice and reduce ramp-up time on new client engagements

Own the measurement framework for agentic system quality: define accuracy, latency, safety, and cost metrics; present program-level AI impact in business terms to senior client stakeholders

Basic Qualifications

Required qualifications

Bachelor’s degree or college diploma in a related field.
10+ years of software development experience in production environments

Minimum of 1 year of experience designing and deploying agentic AI solutions in production environments

Experience with agentic orchestration frameworks such as LangGraph, CrewAI, AutoGen, or equivalent

Experience integrating and calling LLM APIs (OpenAI, Anthropic, Vertex AI) in production systems, including provider abstraction, token management, and cost/latency considerations

Experience building and operating RAG pipelines, including embeddings, chunking strategies, vector databases, and context design

Experience with LLM Ops practices, including eval harness design, prompt versioning, and production observability

Experience with cloud-native development, including Kubernetes, Docker, microservices, serverless, CI/CD, and infrastructure as code (Terraform or Helm)

Proficiency in Python; experience with Java or equivalent backend language acceptable

Experience debugging and monitoring production systems

10 years of experience leading software development teams, including delivery oversight, workstream allocation, and development of team members

Experience defining and governing enterprise-scale agentic architectures across multiple systems

Experience setting standards for RAG pipelines, LLM integration, or LLM Ops practices across multiple deployments

Experience leading client-facing technical engagements, including architecture sessions or proof-of-concept delivery

Experience defining and measuring AI system performance metrics (accuracy, latency, safety, cost)
English is required for this position as this role will be aligned to multi-national teams where English is the common language across our North America Market. Due to the significant high volume of interactions with these English-speaking multi-national teams, which is inherent to this position, it is not possible to reorganize the company's activities to avoid this requirement.

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

Architect and govern production-grade agentic AI systems at enterprise scale while defining standards for RAG pipelines and multi-LLM integrations. Lead client-facing technical engagements to drive alignment and deliver reusable AI patterns and accelerators.

Requirements

Requires 10+ years of software development experience with at least 1 year specifically in production-grade agentic AI solutions. Candidates must possess strong proficiency in Python, cloud-native infrastructure, and experience leading technical teams in complex enterprise environments.

Skills

Agentic AI
Python
RAG Pipelines
LLM Ops
Multi-agent Orchestration
Kubernetes
Docker
Microservices
Terraform
Helm
Prompt Engineering
System Architecture
Cloud-native Development
Vector Databases
CI/CD
Technical Leadership

Visa sponsorship

Not detected in the job text

Keywords

AI Native
Agentic AI
RAG
LLM
Python
Kubernetes
Docker
Microservices
Terraform
Helm
LangGraph
CrewAI
AutoGen
OpenAI
Anthropic
Vertex AI
LLM Ops
CI/CD
Enterprise Architecture
Vector Databases
Prompt Governance
Observability
Software Development
Technical Leadership
Cloud-native
System Design
API Integration
Embeddings
Chunking
Infrastructure as Code

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