Stefanini

Details:

Stefanini Group is looking for aa CoPilot Solutions Engineer for a globally recognized company! For interested applicants, click the apply button or you may reach out Alfher Hidalgo at (248) 728-2627/alfher.hidalgo@Stefanini.com for faster processing. Thank you!

Job Summary:

The CoPilot Solution Engineer acts as a bridge between the advanced capabilities of AI tools like CoPilot and the practical business needs of an organization, requiring a multifaceted skill set to succeed.

This role provides consultancy to Business teams and End Users to improve the prompt generation process and overall, AI system performance.

Key Responsibilities:

Copilot Studio Governance & Implementation

• Partner with IT, Vendors and business to identify high-impact use cases.
• Develop and maintain governance frameworks for testing and publishing Agents to production, including code review, tools to measure output accuracy and documentation.
• Partner with IT architects and Information Security on appropriate M365 and associated system configurations to optimize Agent performance.
• Stay current with Microsoft Copilot roadmap and other 3rd party Vendors and recommend fit for Enterprise.

Prompt Engineering & AI Agent Development

• Build and manage custom Copilot agents using Copilot Studio and Power Platform.
• Integrate Copilot agents with enterprise systems (e.g., SharePoint, Dynamics 365, Se Build and manage custom Copilot agents using Copilot Studio and Power Platform.

Security, Compliance & Governance

• Collaborate with cybersecurity and compliance teams to ensure data protection.
• Implement role-based access controls and monitor AI usage patterns.
• Ensure alignment with enterprise data governance and regulatory requirements.
• Integrates AI chatbots, image generators, and coding platforms into the company"s workflows efficiently
• Conducts research and experimentation to improve existing models
• Collaborates with cross-functional teams, including content creators, product teams, and data scientists, to ensure prompt alignment with company goals and user needs
• Stays updated on the latest advancements in AI, NLP, and ML
• Drafts and distributes reports on prompt performance and development progress

Technical Skills:

• Deep Understanding of CoPilot and AI/ML Concepts: Expert-level knowledge Microsoft 365 CoPilot, GitHub CoPilot, CoPilot Studio. This includes understanding architecture, capabilities, limitations, and integration points. A strong grasp of underlying AI and machine learning principles, including Natural Language Processing (NLP) and Large Language Models (LLMs), is crucial.
• Platform Expertise (e.g., Microsoft 365, Azure, GitHub):
  1. Extensive experience with the Microsoft 365 ecosystem, including SharePoint Online, Teams, OneDrive, Power Platform (Power Automate, Power Apps.
  2. Proficiency in software development workflows, various programming languages (like Python, C#), Integrated Development Environments (IDEs), version control systems (Git/GitHub), and best practices in coding and testing.
  3. Familiarity with cloud platforms like Azure, AWS, or GCP, especially for deploying and managing AI services.
• Integration and API Knowledge: Ability to integrate CoPilot solutions with other enterprise applications and systems using APIs (e.g., Microsoft Graph API).
• Experience in designing and implementing automated workflows using tools relevant to the CoPilot ecosystem (e.g., Power Automate).
• Skills in data preprocessing, feature engineering, and model fine-tuning. Knowledge of SQL and ETL processes.
• Understanding security best practices and how to implement and manage CoPilot solutions in a secure and compliant manner within an organization's governance framework.
• Skill in crafting effective prompts to guide CoPilot tools and achieve desired outputs.

Soft Skills

• Communication and Presentation Skills: Exceptional ability to articulate complex technical concepts to both technical and non-technical audiences. This includes delivering engaging presentations, product demonstrations, and training sessions.
• Problem-Solving and Analytical Skills: Strong analytical abilities to understand client needs, identify challenges, perform root cause analysis, and design effective, tailored solutions.
• Collaboration and Teamwork: Proven ability to work effectively with diverse, cross-functional teams, including business stakeholders, technology teams, security services, and product management.
• Client Engagement and Consulting: Ability to engage with clients, understand their business requirements, act as a trusted advisor, and translate their needs into technical solutions.
• Adaptability and Continuous Learning: The AI field is rapidly evolving, so a commitment to continuous learning and adapting to new technologies and CoPilot features is essential.
• Project Management: Skills in managing projects, including planning, scheduling, and ensuring timely delivery of solutions.
• Leadership and Influence: Ability to lead technical discussions, guide teams, and influence strategic decisions regarding CoPilot adoption and implementation.