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- Employment type
- Contract
- Experience level
- Senior · 7+ years
- Posting language
- English
- Working hours
- 40 hours per week
- Office presence
- 3 days per week
- Seniority
- Mid-Senior level
- Application method
- Direct apply is available
Job summary
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.
Job details
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
What you’ll do
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.
Listed skills
- Python · Preferred
- Microsoft Azure · Preferred
- Agile · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- 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
Job areas
- Technology
- Software
- Engineering
- Management & Leadership
- Consulting
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