Applied AI Lead (Energy & Transportation)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Applied AI Lead (AI/Python): Designing and deploying AI agents, copilots, and automation workflows for energy and industrial clients with an accent on bridging modern AI tooling with operational technology (OT) and legacy IT systems. Focus on moving AI solutions from pilot to scaled production deployment and building reusable technical accelerators.
Location: Must be based in or work from Edmonton or Calgary, Canada
Company
is a next-generation global management consulting group specializing in strategy and digital transformation across 40+ sectors.
What you will do
- Design, prototype, and build AI agents, copilots, and automation workflows directly inside client systems.
- Write production-quality code to transition AI solutions from pilot phase to scaled deployment.
- Integrate AI tooling with existing data platforms, applications, and operational technology (OT) environments.
- Collaborate with AI Transformation Managers to translate business requirements into technical specifications and delivery plans.
- Build monitoring, evaluation, and guardrails to ensure AI solutions perform reliably in production.
- Develop reusable technical accelerators, code libraries, and mentor junior technical talent.
Requirements
- 5-8+ years of experience building and shipping software or AI/ML solutions, including production deployment.
- Hands-on experience with Generative AI, including LLMs, AI agents, RAG, or workflow automation platforms.
- Proficiency in Python and experience with at least one major cloud platform (AWS, Azure, or GCP).
- Experience integrating AI solutions with enterprise systems or industrial/OT environments.
- Bachelor's degree in Computer Science, Engineering, or a related technical field.
- Ability to explain technical trade-offs and constraints to non-technical business stakeholders.
Nice to have
- Experience serving clients in Energy & Utilities, Transportation & Logistics, or Manufacturing.
- Experience with frameworks such as LangChain, LlamaIndex, OpenAI, or Anthropic Claude.
- Background in a consulting or client-facing technical delivery role.
- Familiarity with DevOps/MLOps practices, including CI/CD and model evaluation.
Culture & Benefits
- Competitive salary with structured yearly increases and bonuses.
- Healthcare package including dental, vision, life insurance, and RRSP contributions.
- Career advocacy program providing coaching and real-time feedback.
- Professional growth through the Institute, Working Groups, and specialized training.
- Reimbursement for continuing education and professional certifications.
- Opportunity to work on international projects with a global network of specialized consultants.
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