Artificial Intelligence Engineer

TMT IT Solutions; Canada; On-site; CAD 140,000 - 190,000; Full time

Job summary

TMT IT Solutions in Canada seeks a seasoned AI engineering lead to drive Gen AI initiatives, architecture scalable solutions, and deliver end-to-end projects with Agile practices. You will work with product managers and data scientists to implement Python, React, and AWS-based solutions, ensuring maintainable code and robust deployments.

The role emphasizes SME capabilities in Gen AI, LLM pipelines, and modern architectures, with responsibility for delivery timelines, governance and continuous

Qualifications

• 6+ years of progressive experience in engineering roles.
• 1–2 years leading emerging tech or AI initiatives.
• Gen AI models and prompt engineering techniques.
• Agentic AI, MCP, and Graph/RAG architectures.
• Gen AI Frameworks like LangChain, LlamaIndex, Amazon Bedrock.
• AWS cloud services and infrastructure as code (Puppet, Terraform, Docker).
• Experience with BI tools (QuickSight, Tableau) and enterprise data systems.

Responsibilities

• Lead and contribute to AI products and pilots with clean, maintainable code (Python, React, AWS).
• Design, architect and build scalable Gen AI solutions and LLM pipelines.
• Implement cloud-native solutions using AWS services (EKS, Lambda, Fargate, Glue, Athena).
• Optimize performance and drive continuous learning with Gen AI methods and toolchains.
• Collaborate with product managers, data scientists and domain experts to align solutions with business needs.
• Act as SME on Gen AI technologies and shape the organization's AI roadmap.
• Own end-to-end delivery and manage timelines using Agile practices (Scrum/Kanban).
• Monitor operational metrics and incident data to drive reliability.
• Ensure governance and DevSecOps protocols are followed.

Skills

Gen AI

Prompt engineering

Leadership

Agile/Scrum/Kanban

End-to-end delivery

Education

Bachelor's degree or higher in a technical field

Tools

AWS

Terraform

Docker

Puppet

Job description

• Lead and actively contribute to the development of AI products, pilots and solutions, with a focus on clean, maintainable code using Python, React, and AWS tools.
• Design, architect and build scalable Gen AI solutions, including LLM pipelines, Agentic, MCP, Graph/RAG architectures, and prompt-based applications and emerging tech.
• Implement cloud-native solutions using AWS services such as EKS, Lambda, Fargate, Glue, and Athena.
• Optimize performance of AI products, Drive continuous learning and experimentation with cutting-edge Gen AI methods, frameworks, APIs, and toolchains.
• Work closely with product managers, data scientists, and domain experts to define technical solutions aligned with business needs.
• Act as a subject matter expert (SME) on Gen AI technologies and help shape the organization's AI roadmap.
• Own end-to-end delivery of Gen AI solutions. Manage timelines, deliverables, and project milestones using Agile practices (Scrum/Kanban).
• Monitor operational metrics and incident data to drive continuous improvement and reliability.
• Ensure adherence to governance, DevSecOps protocols.

Experience/Skiils:

• 6+ years of progressive experience in engineering roles, including at least 1-2 years leading emerging tech or AI initiatives.
• Gen AI models (GPT, Claude, Gemini, LLaMA) and prompt engineering techniques
• Agentic AI, MCP, and Graph/RAG architectures
• Gen AI Framework (LangChain, LlamaIndex, Amazon Bedrock)
• AWS cloud services (EC2, ELB/GLB/NLB, EKS, Fargate, Lambda, Athena, Glue, Lake Formation)
• Infrastructure as Code (Puppet, Terraform, Docker) and containerized deployments
• Vector/Graph databases (Weaviate, Milvus, PGVector, Neo4J, Neptune) and query optimization
• Automated testing frameworks (Ragas, Playwright, Zephyr, Selenium,)
• Familiarity with SDLC best practices, DevSecOps, Agile Scrum/Kanban, and work management tools (JIRA, Confluence, JIRA Align).
• Knowledge of LLM fine tuning techniques
• Experience in BI tools like QuickSight, Tableau
• Knowledge of financial markets and enterprise data systems