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Insight Global

Solution Designer Lead

Toronto, ON, Canada

Pay rate: $80 · Contract

Within 25 km of Vaughan · About 22.9 km from the city centre

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Job details

Pay: Pay rate: $80
Job type: Contract
Apply by: Nov 20, 2026
Posted: Oct 21, 2026

Original job description

Location: Toronto

Contract: 6 month (possibility of extension)

Hybrid: 2-3 days a week onsite

Pay rate: $80

JOB DESCRIPTION

Insight Global is seeking an experienced Solution Design Lead with a strong blend of hands-on engineering expertise and technical leadership experience to lead the design and delivery of enterprise AI solutions. This individual will act as a consultant to multiple senior business stakeholders, helping define AI strategy, create user stories, evaluate technologies, build and scale agent-based solutions, and ensure successful delivery across multiple squads.

REQUIRED SKILLS AND EXPERIENCE

-7+ years of experience in software engineering, solution engineering, or solution architecture, with a progression from hands-on development into a technical leadership, consulting, or architecture-focused role.

-Hands-on experience designing and implementing Retrieval-Augmented Generation (RAG) and multi-agent AI systems, utilizing frameworks such as LangChain and/or Model Context Protocol (MCP).

-Proven experience taking AI solutions from Proof of Concept (POC) to Production, including architecture, deployment, and scalability considerations.

-Experience working within Databricks and Azure environments, supporting AI/ML application development and deployment. Strong proficiency in Python development.

-Solid understanding of APIs, including integrations, authentication, authorization, and system-to-system communication.

-Experience working in Agile environments, including sprint planning, backlog management, and user story creation/refinement.

-Experience collaborating with senior business and product stakeholders (Director/Senior Director level) and providing technical guidance across multiple teams or squads.

Vacancy: This posting is for a currently vacant role, and the successful candidate will be hired into an existing open position.

*Artificial Intelligence tools are used to assist in screening and assessing applicants for this position

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More about this job

Responsibilities

Lead the design and delivery of enterprise AI solutions, including defining AI strategy, creating user stories, evaluating technologies, and building and scaling agent-based systems. Advise senior business stakeholders and coordinate technical delivery across multiple teams, taking solutions from proof of concept through production.

Requirements

Requires 7+ years of software, solution, or architecture engineering experience, including hands-on development and progression into technical leadership, consulting, or architecture. Candidates need practical experience with RAG and multi-agent systems, LangChain and/or MCP, productionizing AI solutions, Databricks, Azure, Python, APIs, Agile delivery, and senior stakeholder collaboration.

Skills

Solution Architecture
Python
Retrieval-Augmented Generation (RAG)
Multi-Agent AI Systems
LangChain
Model Context Protocol (MCP)
Databricks
Microsoft Azure
API Integration
Authentication
Authorization
Agile
Sprint Planning
Backlog Management
User Story Creation
Technical Leadership

Visa sponsorship

Not detected in the job text

Keywords

Enterprise AI
AI Strategy
Solution Design
Solution Architecture
Software Engineering
Python
Retrieval-Augmented Generation (RAG)
Multi-Agent Systems
LangChain
Model Context Protocol (MCP)
Proof of Concept (POC)
Production Deployment
Scalability
Databricks
Microsoft Azure
AI/ML Application Development
APIs
API Integration
Authentication
Authorization
Agile
Sprint Planning
Backlog Management
User Stories
Technical Leadership
Stakeholder Collaboration
Cross-Functional Teams

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