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Solution Designer Lead

  • Toronto, ON, Canada

Pay rate: $80 · Contract

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Job details

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Pay rate: $80
Job type
Contract
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Posting language
English
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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

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

Categories

  • Technology
  • Software
  • Engineering
  • Management & Leadership
  • Consulting

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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