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Added 31 mins ago
SM
RQ11687 – Software Developer – Full Stack – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 3 hours ago
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Full Stack Engineer
BuzzClan
Toronto, ON
- Contract
We are seeking a Senior Full Stack Java Developer to provide production maintenance and support, while developing and enhancing enterprise applications involving cloud technologies and GIS…
Added 3 hours ago
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Consultant
Virtusa
Toronto, ON
- Full-time
Job Summary: We are seeking an experienced Senior Full Stack Developer with a strong background in building scalable, secure, and high-performance enterprise applications. The ideal…
Added 3 hours ago
A
AI Native Solutions Lead (Agentic / Applied)
Accenture
Calgary, AB
- Full-time
…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…
Added 5 hours ago
RI
Mobile Application Developer
Raas Infotek
Brampton, ON
- Contract
Job Title: Senior Full Stack & Mobile Application Developer
Added 6 hours ago
IC
AppOps, Senior Specialist
Interac Corp.
Toronto, ON · Interac Corp. Head Office
- Full-time
The job role requires to work in rotating shifts to provide 24x7 Support coverage
Added 7 hours ago
A
AI Native Solutions Lead (Agentic / Applied)
Accenture
Vancouver, BC
- Full-time
…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…
Added 7 hours ago
LM
Senior Software Engineer - Product Lead
Lockheed Martin
Ottawa, ON
- Full-time
Proven Full-Stack development experience throughout the software engineering processes from planning, design, development to deployment.
Added 7 hours ago
PG
Senior Full Stack Engineer
Paymentus Group Inc
Richmond Hill, ON
- Full-time
You're a self driven Sr. Full Stack Engineer seeking to understand and transform requirements into core features of an evolving payment platform, who collaborates with expert team members…
Added 8 hours ago
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Senior Mobile Full Stack Engineer - [EACF260827]
Hatch
Remote, Canada
- $130,000 to $160,000 CAD / year
- Full-time
- Remote
We are looking for a hands-on Senior Mobile Full Stack Engineer who has deeply mastered both backend systems and native mobile development. You will take end-to-end ownership of critical…
Added 9 hours ago
A
AI Native Solutions Lead (Agentic / Applied)
Accenture
Montreal, QC
- Full-time
…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…
Added 10 hours ago
TG
Senior DevOps/Site Reliability Engineer
TMX Group
Toronto, ON
- $125,000 to $135,000 CAD / year
- Full-time
Must Have(s):
Added 10 hours ago
KR
Senior Full Stack & Mobile Application Developer
KTek Resourcing
Toronto, ON · Greater Toronto Area, Canada
- Contract
We are looking for an experienced Full Stack Developer with 6–10 years of experience in developing web and mobile applications across Front-End, Back-End, iOS, and Android platforms. The…
Added 10 hours ago
Lead Full Stack Engineer
Scotiabank
Toronto, ON
The team is searching for a client-focused full stack engineer who is motivated to design and develop components of enterprise applications and providing consultative guidance on all…
Added 10 hours ago
Senior Security Engineer
Scotiabank
Toronto, ON
Support SDLC processes and best practices while leading a team of full-stack developers.
Added 10 hours ago
VC
Senior Commerce Engineer
Valsoft Corporation
Remote, Canada
- $120,000 to $135,000 CAD / year
- Remote
Bring your Java and full-stack experience to DemandBridge and take ownership of the engineering decisions behind our e-commerce platform.

Accenture

AI Native Solutions Lead (Agentic / Applied)

Montreal, QC, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Dec 5, 2026
Posting language: English
Posted: Nov 5, 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

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More about this job

Responsibilities

Design, govern, and deploy production-grade agentic AI systems at enterprise scale, including multi-agent orchestration, RAG pipelines, multi-LLM integrations, and LLM operations. Lead client technical engagements and establish reusable architecture patterns, quality standards, and metrics for system performance, safety, and cost.

Requirements

Requires a related bachelor's degree or college diploma, 10+ years of production software development experience, and at least one year designing and deploying agentic AI solutions in production. Candidates must also have substantial software team leadership experience, expertise in agentic architectures, RAG, LLM operations, cloud-native development, and client-facing technical delivery.

Skills

Agentic AI Architecture
Multi-Agent Orchestration
Retrieval-Augmented Generation
LLM Integration
LLM Operations
Evaluation Harness Design
Prompt Governance
Production Observability
Python
Kubernetes
Docker
Microservices
CI/CD
Terraform
Cloud-Native Development
Technical Leadership

Visa sponsorship

Not detected in the job text

Keywords

Agentic AI
Multi-Agent Systems
LangGraph
CrewAI
AutoGen
RAG
Embeddings
Chunking Strategies
Vector Databases
OpenAI
Anthropic
Vertex AI
LLM APIs
LLM Operations
Evaluation Harness
Prompt Versioning
Observability
Python
Java
Kubernetes
Docker
Microservices
Serverless
CI/CD
Terraform
Helm
Infrastructure as Code
Cost Governance
Safety Monitoring
Production Systems

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Jobs in Canada