Sr. AI Architect
- Brampton, ON, Canada
Contract
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Job details
- Job type
- Contract
- Apply by
- Experience
- Minimum 15 years of Industry experience and thorough knowledge of IT processes, Release systems, protocols and typical challenges
- Posting language
- English
- Posted
Original job description
- As Senior AI Architect, candidate will be responsible to technically and strategically analyse the IT ecosystem, focussing on Quality Engineering and Development, to design, deploy and scale AI solutions in client environments
- Minimum 15 years of Industry experience and thorough knowledge of IT processes, Release systems, protocols and typical challenges
- Must have implemented proven AI solutions with tangible benefits to the client in Development and QE space.
- Responsible for architecting multi agent systems, LLM powered autonomous workflows, retrieval augmented generation (RAG) pipelines and enterprise grade AI governance
- Should be adept in handling and automating workflows on all platforms including AWS, Azure and Google
- Partner the client and their Center of Excellence on AI Tools and research to address technical problem statements in testing and development
- Regularly present to the customer, new ideas and roadmaps on improvement in software lifecycle through AI. Help clients move from isolated proofs of concept to secure and scalable solutions with tangible ROI
- Hands on with Agentic AI tools and development
- Liaise closely with in house competency and delivery teams to understand various solutions implemented globally and contribute in further improvements and new development of framework and tools
More about this job
Responsibilities
The role involves designing and scaling enterprise-grade AI solutions, specifically focusing on multi-agent systems and RAG pipelines within the QE and development space. The architect will partner with the client's Center of Excellence to move AI proofs of concept into secure, scalable production environments.
Requirements
Candidates must have at least 15 years of industry experience with a proven track record of implementing AI solutions that provide tangible business benefits. Proficiency in major cloud platforms (AWS, Azure, GCP) and hands-on experience with Agentic AI tools is required.
Skills
- AI Architecture
- Multi Agent Systems
- LLM
- Retrieval Augmented Generation (RAG)
- AI Governance
- AWS
- Azure
- Google Cloud Platform
- Agentic AI
- Quality Engineering
- Workflow Automation
- Enterprise AI Scaling
- IT Process Management
- Release Systems
- Technical Strategy
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Consulting
- Engineering
- Data & Analytics
Keywords
- AI Architect
- LLM
- RAG
- Agentic AI
- Multi Agent Systems
- AI Governance
- AWS
- Azure
- Google Cloud Platform
- Quality Engineering
- Software Development
- IT Ecosystem
- ROI
- Proof of Concept
- Enterprise AI
- Cloud Computing
- IT Consulting
- Software Lifecycle
- Autonomous Workflows
- Technical Roadmap