The AI Enablement Specialist owns user adoption and team-member upskilling for AI at HBS. The role ... patterns, and best practices; embed Microsoft 365 Copilot learning paths and Copilot Cowork modules ...
The AI Enablement Specialist owns user adoption and team-member upskilling for AI at HBS. The role ... patterns, and best practices; embed Microsoft 365 Copilot learning paths and Copilot Cowork modules ...
The AI Enablement Specialist owns user adoption and team-member upskilling for AI at HBS. The role ... patterns, and best practices; embed Microsoft 365 Copilot learning paths and Copilot Cowork modules ...
The AI Enablement Specialist owns user adoption and team-member upskilling for AI at HBS. The role ... patterns, and best practices; embed Microsoft 365 Copilot learning paths and Copilot Cowork modules ...
Experience assessing AI, machine learning, and LLM deployment patterns, including training, retrieval-augmented generation, fine-tuning, tool use, data dependencies, and integration patterns, and ...
Experience assessing AI, machine learning, and LLM deployment patterns, including training, retrieval-augmented generation, fine-tuning, tool use, data dependencies, and integration patterns, and ...
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Senior Applied & Agentic AI Engineer
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... secure deployment patterns. · Mentor engineers on LLM orchestration patterns, workflow ... machine learning systems, or distributed software architecture. · 3-5+ years designing and ...
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Demonstrated understanding of LLMs, machine learning models, Generative AI capabilities, evaluation concepts, and common implementation patterns such as prompt-based solutions, retrieval-augmented ...
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Demonstrated understanding of LLMs, machine learning models, Generative AI capabilities, evaluation concepts, and common implementation patterns such as prompt-based solutions, retrieval-augmented ...
Demonstrated understanding of LLMs, machine learning models, Generative AI capabilities, evaluation concepts, and common implementation patterns such as prompt-based solutions, retrieval-augmented ...
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Lead AI Engineer - AWS Platform
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Patterned Learning Ai information
What are some typical challenges faced by Patterned Learning AI professionals in implementing AI-driven solutions within organizations?
What are the key skills and qualifications needed to thrive as a Machine Learning Engineer, and why are they important?
What is the difference between Patterned Learning Ai vs Data Scientist?
| Aspect | Patterned Learning Ai | Data Scientist |
|---|---|---|
| Required Credentials | Typically requires machine learning, AI, or computer science degrees; certifications in AI tools | Requires degrees in statistics, computer science, or related fields; often certifications in data analysis |
| Work Environment | Tech companies, AI startups, research labs focusing on AI development | Business, finance, healthcare, and tech sectors analyzing data for insights |
| Employer & Industry Usage | Used by AI-focused organizations developing intelligent systems | Employed across industries for data analysis, predictive modeling, and decision support |
Patterned Learning Ai primarily focuses on developing AI models and algorithms, often requiring specialized technical skills. Data Scientists analyze data to extract insights and inform business decisions. While both roles involve data and machine learning, Patterned Learning Ai is more centered on creating AI systems, whereas Data Scientists interpret data for strategic purposes.
What is Patterned Learning AI?
Other
Posted 25 days ago
Heartland Business Systems rating
8.0
Based on 6 frontline employees who took The Breakroom Quiz
57th of 204 rated it services
Job description
Description
Position Summary:
The AI Enablement Specialist owns user adoption and team-member upskilling for AI at HBS. The role leads HBS's expansion of Microsoft 365 Copilot Cowork through the Microsoft Frontier Program and drives day-to-day adoption and tier-1/2 user support for Microsoft 365 Copilot and Claude-based agents across HBS business units. The analyst owns the HBS AI Champion Pilot Program end-to-end - Champion cohort recruitment and coaching, baseline measurement, prompt and skill library curation, role-based training delivery, peer-coaching coordination, adoption analytics, and synthesizing candid pilot feedback into insights for the Director of AI and ELT. The role serves as the connective tissue between the Director of AI, the broader AI delivery team, and end users, and is explicitly accountable for investing in HBS team members' long-term AI skill growth. Success looks like a growing population of confident, skilled AI users at HBS, measurable productivity lift per role per cohort, a maturing library of prompts and custom Cowork skills, and a Champion network that scales both adoption and career growth across the company.
Roles and Responsibilities/ Essential Functions:
- Own the HBS AI Champion Pilot Program and the Microsoft 365 Copilot Cowork Program rollout end-to-end. Deliver role-based enablement and career-development upskilling for Microsoft 365 Copilot, Microsoft Copilot Cowork, and Claude agents through training sessions, certifications, prompt clinics, peer coaching, and ongoing reinforcement.
- Recruit and support each Champion cohort in partnership with department leaders: produce the Champion Commitment Guide and Manager Fact Sheet, coach champions through 1:1 sessions and group office hours, and run structured peer-coaching sessions with their teammates. Drive cross-department engagement through use-case challenges and visible recognition. Track adoption analytics (daily active users, license utilization, prompt library usage, certification completions) and publish a monthly one-page dashboard against documented baselines. Capture candid pilot feedback from Cowork participants and synthesize it into actionable adoption, governance, and product insights for the Director of AI and the Executive Leadership.
- Curate and version-control role-based prompt libraries, custom Cowork skills, and agent templates; maintain a searchable internal knowledge base of resolved issues, prompt patterns, and best practices; embed Microsoft 365 Copilot learning paths and Copilot Cowork modules into the HBS internal training site.
- Act as the strategic bridge between business stakeholders and the technical AI delivery team by contributing business context, prompt design input, and adoption-readiness review on custom solution work, and pilot new Microsoft and Claude AI capabilities internally before they reach client engagements.
- Operate the AI Helpdesk tier-1 and tier-2 queue, contribute to the refinement of internal AI delivery methods and certification curricula, and apply the AI Use Policy in daily work while flagging exceptions to the Director of AI.
Requirements
Required Experience:
- 3 to 5 years of professional experience in IT operations, technology consulting, end-user enablement, learning and development, or AI/automation operations.
- Demonstrated hands-on experience using Microsoft Copilot Cowork, Claude, or similar AI platforms as a daily working tool - delegating outcome-based, long-running, multi-step tasks across Microsoft 365, or similar apps and building reusable custom skills; practical experience supporting AI rollouts, including training delivery, prompt design, governance configuration, and end-user support.
- Experience designing and delivering training, certification programs, or structured change-enablement content for software adoption, including running a peer-driven adoption program. Experience producing adoption analytics and ROI-style reporting against documented baselines.
Preferred Experience:
- Experience with Anthropic Claude and Claude Cowork for cross-tool AI workflows; familiarity with Microsoft 365 Copilot Studio agents, Power Platform, or other automation platforms such as Rewst is a plus.
- Experience operating a tiered helpdesk model with SLAs, ticket analytics, and knowledge-base curation.
- Prior experience at a Microsoft Solutions Partner, Managed Service Provider, VAR, or AI/digital transformation consultancy, with familiarity in governance, data classification, and DLP practices for AI tools in an enterprise environment.
Required Skills, Education and/ or Certifications:
- Bachelor's degree in Information Technology, Computer Science, Instructional Design, Business, or a related field; equivalent professional experience considered.
- Strong applied skills in prompt engineering patterns, prompt library version control, and prompt evaluation; demonstrated proficiency with Microsoft 365 Copilot, or similar capabilities, governance settings, and licensing tiers.
- Working knowledge of Microsoft 365 administrative concepts (licensing, role assignment, data classification, basic DLP awareness), strong Excel skills, and basic Power BI (or equivalent) for reporting on adoption and helpdesk performance.
Preferred Skills, Education and/ or Certifications:
- Microsoft Certified: AI Engineer Associate, Power Platform Functional Consultant Associate (or comparable integration platform credentials such as Rewst), or Microsoft 365 Certified credentials; Anthropic Claude practitioner credentials or comparable applied AI certifications.
- Prosci ADKAR or equivalent change-management certification; ITIL Foundation or comparable service management certification.
Equal Opportunity Employer - Including Disabled and Veterans
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