J M Group Inc - 91 emplois
Brampton, ON
Posté aujourd'hui
Détails de l'emploi :
Temps plein
Expérimenté
- 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
Partager un emploi :
Foire aux questions
This position is based in Brampton, ON.
This is a full-time position.
The role requires minimum 15 years of industry experience and thorough knowledge of IT processes, release systems, protocols, and typical challenges.
You will design, deploy and scale AI solutions in client environments, architect multi-agent systems, LLM-powered autonomous workflows, and RAG pipelines with enterprise-grade AI governance.
You should be adept in handling and automating workflows on AWS, Azure, and Google.
You will partner with the client and their Center of Excellence on AI tools and research to address technical problem statements in testing and development, and present roadmaps and ideas to improve the software lifecycle through AI.
Yes, the role includes hands-on work with Agentic AI tools and development, as well as liaising with in-house teams to contribute to new framework and tool development.
