This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role is ideal for an engineer passionate about AI, automation, and modern endpoint management. You will design, deploy, and continuously enhance intelligent, scalable, and secure endpoint solutions across Windows and macOS environments. Leveraging automation, AI-driven tools, and data insights, you will reduce manual effort, improve operational efficiency, and deliver a superior user experience. You will collaborate closely with security and IT teams to enforce compliance, optimize endpoint performance, and implement innovative solutions that anticipate issues before they occur. The role blends hands-on engineering with strategic thinking, empowering you to build self-healing and self-service systems while exploring cutting-edge AI technologies. It is a dynamic opportunity to shape the future of endpoint operations in cloud-first and zero-trust environments, making a measurable impact across the enterprise. - Design, deploy, and manage modern endpoint environments across Windows and macOS platforms - Implement and maintain endpoint management platforms with a focus on automation-first practices - Develop automation workflows using scripting, APIs, and orchestration tools to streamline operations - Integrate AI-powered tools for analytics, remediation, security, and optimized user experiences - Build self-healing and self-service solutions for common endpoint challenges - Collaborate with security teams to enforce compliance, patching, and endpoint protection strategies - Monitor endpoint health, performance, and telemetry to proactively identify and resolve issues - Evaluate emerging AI and automation technologies and recommend improvements to endpoint strategy - Maintain technical documentation, standards, and best practices - Act as a technical escalation point for complex endpoint issues Qualifications - 4+ years of experience in endpoint engineering, desktop engineering, or EUC roles - Strong experience with modern endpoint management and MDM/MAM platforms (e.g., Intune, Jamf) - Proficiency in scripting and automation (PowerShell required; Python, Bash, or similar a plus) - Experience integrating systems via APIs and automating workflows - Knowledge and experience working with AI tools (e.g., Claude AI) - Solid understanding of endpoint security, identity management, and device compliance - Comfortable working in cloud-first and zero-trust IT environments - Strong troubleshooting skills and the ability to think systemically - Nice to have: experience with AI-driven IT operations (AIOps), endpoint analytics, autonomous remediation, and familiarity with tools such as Microsoft Copilot, Defender, Autopilot, or Jamf Pro - Relevant certifications (Microsoft, Apple, Jamf, or cloud certifications) are a plus Benefits - Competitive salary and bonus structure - Comprehensive medical, dental, and vision coverage - Flexible work schedules and remote work opportunities - Paid time off and holidays to support work-life balance - Professional development resources and tuition assistance - Employee assistance programs and wellness initiatives - Opportunities to work with cutting-edge AI and automation technologies in IT operations Company Description

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. 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.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role offers a unique opportunity to design, build, and implement cutting-edge AI-enabled enterprise solutions using Microsoft’s cloud and AI platforms. The Senior Consultant will lead the development of scalable, production-grade applications and analytics, integrating tools such as Power BI, Power Apps, Power Automate, Azure AI, and Microsoft Fabric. You will translate complex business challenges into intelligent technical architectures, drive innovation, and mentor teams while contributing to the organization’s thought leadership in AI and intelligent applications. The ideal candidate thrives in a collaborative, fast-paced environment, embraces experimentation, and is passionate about advancing Microsoft AI technologies to deliver transformative business impact. - Design and develop intelligent, AI-enabled solutions across Microsoft platforms, including Power BI, Power Apps, Power Automate, and Azure AI - Build scalable analytics solutions, semantic models, data pipelines, and automated workflows for enterprise clients - Integrate Microsoft Copilot and AI capabilities into business processes to create innovative, production-ready solutions - Translate complex business requirements into technical architectures, implementation approaches, and maintainable systems - Collaborate with cross-functional teams and stakeholders to ensure solutions are aligned with business objectives - Contribute to internal accelerators, reusable frameworks, and thought leadership within the AI and intelligent applications practice - Mentor and guide team members on best practices, emerging technologies, and Microsoft AI adoption Qualifications - Strong hands-on experience with Microsoft platforms, including Power BI, Power Apps, Power Automate, and Azure services - Proven experience designing and delivering production-grade applications, workflows, or analytics solutions - Working knowledge of Microsoft AI ecosystem tools, including Copilot, Azure OpenAI, AI Builder, and Microsoft Fabric - Solid data architecture and modeling skills, with experience designing scalable semantic models, ensuring data quality and governance - Ability to translate business needs into robust technical solutions, architectures, and scalable systems - Strong communication and documentation skills, with the ability to explain technical concepts to technical and non-technical stakeholders - Intellectual curiosity and growth mindset, with a passion for emerging technologies and advancing technical expertise - Experience in consulting, enterprise IT, or solution delivery environments is advantageous but not required Preferred Experience - Experience with Azure data services such as Azure SQL, Data Factory, Synapse, or Fabric - Building enterprise-scale Power BI semantic models and governance frameworks - Developing Power Apps or workflow automation solutions - Integrating AI capabilities into applications or analytics solutions - Familiarity with modern software engineering practices, DevOps, and cloud architecture Benefits - Comprehensive medical, dental, and vision coverage - Disability and life insurance - Flexible spending accounts and flextime off - 401(k) retirement plan with employer match - Opportunities for professional development and thought leadership - Collaborative, innovative work environment with exposure to cutting-edge Microsoft AI technologies

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are looking for a senior Unity engineer who wants to become a founding technical contributor. You would help: - Shape Unity architecture - Design spatial persistence systems - Build multi-user spatial interaction systems - Integrate AI-assisted development workflows - Define the long-term technical direction of the platform We are not looking for someone to simply use Unity. We are looking for someone who wants to help define the architecture of a new spatial computing product category. Qualifications - Deep Unity experience (typically 8–10+ years) - Experience shipping complex real-time systems - Enjoy architecting systems rather than just implementing features - Curious about AI integration into interactive environments Requirements - This role is designed for someone who wants to build a startup without having to start one alone from scratch. Benefits - This is an equity-first founding role. - Compensation is equity-only until our next funding round (target H2 2026). - You can join either part-time, while keeping your current role, or full-time. - Many experienced engineers start part-time first while evaluating the opportunity. Who This Is For - Engineers who have deep Unity experience. - Engineers who have shipped complex real-time systems. - Engineers who enjoy architecting systems rather than just implementing features. - Engineers who are curious about AI integration into interactive environments. - Engineers who want to build something meaningful with ownership. Who This Is NOT For - Do not apply if you are looking for a salaried job today. - Do not apply if you want a freelance contract or short-term gig. - Do not apply if you are bridging time until your next role. If Interested Send: - GitHub or portfolio - Examples of Unity systems you built - Anything you’ve experimented with involving AI Please also include short answers to the questions below. PS: If you have spent years building complex Unity systems and occasionally think: “If I were part of a startup, I would architect it differently,” you are probably the person we are hoping reads this.