AI Manager
Location
United States
Posted
8 days ago
Salary
Not specified
Job Description
Role Description
Our client is seeking a cunning and resourceful AI Manager with deep expertise in prompt engineering, AI workflow automation, and real-world integration of AI systems into business operations.
In this role, you will work closely with a small team of developers, engineers, and business stakeholders to design, prototype, and deploy AI-powered solutions that improve efficiency, scale operations, and unlock new capabilities across their multiple businesses.
The ideal candidate:
- Experiments rapidly
- Thinks in systems
- Understands how to translate rapidly evolving AI tools into practical, production-ready workflows
This role requires both strong technical fluency and the ability to collaborate effectively with engineering teams to implement scalable AI solutions. This position is FULLY-REMOTE, although there is a strong preference for someone based in Calgary or can work within a similar time zone.
Key Responsibilities:
- Design and implement AI-driven workflows that automate business processes and improve operational efficiency.
- Develop advanced prompt engineering frameworks for large language models to ensure reliable, structured, and repeatable outputs.
- Prototype and deploy AI-enabled applications, tools, or internal utilities within rapid development cycles.
- Build automated pipelines using APIs, orchestration tools, and scripting to connect AI models with business systems.
- Continuously evaluate emerging AI tools, models, and platforms to identify opportunities for adoption and experimentation.
- Create scalable architectures for AI-powered workflows, including multi-step reasoning chains, agent-based processes, and task automation.
- Implement monitoring and testing frameworks to measure performance, accuracy, reliability, and cost of AI systems.
- Document prompt frameworks, workflows, and integration architectures for long-term maintainability.
- Collaborate with product, engineering, and operations teams to ensure AI implementations align with real business needs.
Requirements
- Demonstrated expertise with leading AI platforms such as ChatGPT, Claude, Gemini, and other large language models.
- Advanced prompt engineering capabilities including structured prompting, chain-of-thought prompting, system prompts, and output control strategies.
- Familiarity with AI development ecosystems such as LangChain, LlamaIndex, or similar frameworks.
- Strong understanding of API-based AI integrations and the ability to work with developers to deploy AI-enabled solutions.
- Experience working with Python, JavaScript, or other scripting languages used in AI integration workflows.
- Experience designing automation workflows using orchestration tools, scripting, or workflow automation platforms.
- Ability to rapidly prototype AI-powered applications, tools, or internal systems within short development cycles.
- Familiarity with concepts such as retrieval-augmented generation (RAG), embeddings, vector databases, or agent-based AI workflows.
- Experience working as, or collaborating directly with software engineers, data engineers, or product teams on technical implementations.
- Ability to evaluate trade-offs between different models, APIs, and architectures when designing AI solutions.
- Fluent in English.
- Flexibility working across time zones - ideally aligned with GMT-7.
- Degrees and certifications are not important - you should have the mindset of a tinkerer, and live, breathe, and stay ahead of all things AI.
Job Requirements
- Demonstrated expertise with leading AI platforms such as ChatGPT, Claude, Gemini, and other large language models.
- Advanced prompt engineering capabilities including structured prompting, chain-of-thought prompting, system prompts, and output control strategies.
- Familiarity with AI development ecosystems such as LangChain, LlamaIndex, or similar frameworks.
- Strong understanding of API-based AI integrations and the ability to work with developers to deploy AI-enabled solutions.
- Experience working with Python, JavaScript, or other scripting languages used in AI integration workflows.
- Experience designing automation workflows using orchestration tools, scripting, or workflow automation platforms.
- Ability to rapidly prototype AI-powered applications, tools, or internal systems within short development cycles.
- Familiarity with concepts such as retrieval-augmented generation (RAG), embeddings, vector databases, or agent-based AI workflows.
- Experience working as, or collaborating directly with software engineers, data engineers, or product teams on technical implementations.
- Ability to evaluate trade-offs between different models, APIs, and architectures when designing AI solutions.
- Fluent in English.
- Flexibility working across time zones - ideally aligned with GMT-7.
- Degrees and certifications are not important - you should have the mindset of a tinkerer, and live, breathe, and stay ahead of all things AI.
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