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General Manager - AI Services

Insight Global

Toronto

On-site

CAD 120,000 - 150,000

Full time

30+ days ago

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Job summary

A technology staffing company in Toronto seeks an experienced General Manager to oversee its AI Services business unit. The ideal candidate will lead the delivery of custom AI solutions and possess strong technical expertise in AI/ML. Responsibilities include serving as the Business Unit CEO and collaborating with clients to develop tailored solutions. This role requires over 7 years of relevant experience in a leadership capacity.

Qualifications

  • 7+ years of experience in AI/ML consulting, implementation, or professional services.
  • Proven ability to operate independently with full P&L responsibility.
  • Strong technical expertise in AI/ML, including model development, deployment, and optimization.

Responsibilities

  • Serve as the Business Units CEO, providing technical vision and leadership across AI services.
  • Lead the delivery of custom AI solutions, including model training, fine-tuning, and integration.
  • Collaborate directly with clients to build tailored solutions.

Skills

AI/ML consulting
Client engagement
Model optimization
Technical leadership

Tools

TensorFlow
PyTorch
Hugging Face
Job description
Overview

Insight Global is seeking a highly experienced General Manager to lead the AI Services business unit for a client in the software development and artificial intelligence space. This role combines technical leadership with strategic oversight, focusing on the delivery and productization of custom AI solutions tailored to client needs.

We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form. The EEOC "Know Your Rights" Poster is available here.

To learn more about how we collect, keep, and process your private information, please review Insight Global\'s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Responsibilities
  • Serve as the Business Units CEO, providing technical vision and leadership across AI services.
  • Lead the delivery of custom AI solutions, including model training, fine-tuning, and integration with client data.
  • Apply proven AI patterns and adapt them to meet unique customer requirements.
  • Oversee advanced use cases such as graph-based retrieval, AI agents, ETL processes, and data transformation.
  • Collaborate directly with clients to build tailored solutions using third-party tools supported by the organization.
  • Act as a bridge between AI implementation and future product development, particularly in web applications.
Qualifications
  • 7+ years of experience in AI/ML consulting, implementation, or professional services.
  • Proven ability to operate independently with full P&L responsibility.
  • Strong technical expertise in AI/ML, including model development, deployment, and optimization.
  • Hands-on experience with modern AI tools and frameworks.
  • Demonstrated ability to lead technical teams and engage with clients to deliver impactful solutions.
  • Deep expertise in large language models (LLMs), prompt engineering, and model fine-tuning.
  • Solid understanding of enterprise AI implementations and production-level deployments.
  • Advanced knowledge of LLMs such as GPT-4, Claude, LLaMA, etc.
  • Proficiency with ML frameworks including TensorFlow, PyTorch, Hugging Face, and others.
  • Familiarity with vector databases, retrieval-augmented generation (RAG) systems, and AI agent architectures.
  • Experience with enterprise AI infrastructure and MLOps best practices.
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