Lead AI Engineer

Role overview

Responsibilities

• Lead and contribute hands-on to developing AI products, pilots, and solutions using clean, maintainable code.
• Design and build scalable generative AI solutions, including LLM pipelines, Agentic AI, MCP, Graph/RAG architectures, and prompt-based applications.
• Implement cloud-native solutions using AWS services such as EKS, Lambda, Fargate, Glue, and Athena.
• Optimize AI product performance and experiment with emerging generative AI methods, frameworks, APIs, and toolchains.
• Work with product managers, data scientists, and domain experts to define technical solutions aligned with business needs.
• Act as a generative AI subject matter expert and help shape the organization's AI roadmap.
• Own end-to-end solution delivery and manage timelines, deliverables, and milestones using Agile practices.
• Monitor operational metrics and incident data to improve reliability.
• Ensure adherence to governance and DevSecOps protocols.

Required experience

• At least 6 years of progressive engineering experience, including 1–2 years leading emerging technology or AI initiatives.
• Experience with generative AI models, prompt engineering, Agentic AI, MCP, and Graph/RAG architectures.
• Experience with generative AI frameworks such as LangChain, LlamaIndex, or Amazon Bedrock.
• Web application development using Next.js, React, and TypeScript/JavaScript.
• Experience with AWS cloud services, Infrastructure as Code, containerized deployments, and Apache Airflow ETL orchestration.
• Experience with vector or graph databases, query optimization, Python libraries, and automated testing frameworks.
• Familiarity with SDLC practices, DevSecOps, Agile Scrum/Kanban, and work management tools is required.
• Knowledge of LLM fine-tuning techniques is required.
• Experience with BI tools such as QuickSight or Tableau is required.
• Knowledge of financial markets and enterprise data systems is required.
• Bachelor's or master's degree in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field.

Compensation

• Estimated Toronto base salary is CAD 135,000–140,000 per year; the offered amount may vary based on qualifications and other business factors.

Workplace and flexibility

• The compensation estimate is for the role performed in Toronto.
• The company describes flexible work schedules and opportunities to work from home; no specific workplace arrangement is stated for this role.

Benefits

• Benefits include health and life insurance, short- and long-term disability insurance, flexible spending accounts, paid time off, and holidays.
• The company describes professional development through continuing education, certification, training, and international knowledge exchanges.

About GlobalLogic