AI Application Analyst

Responsibilities:

• Provide technical support and troubleshooting for various business applications.
  
  
• Analyze and resolve application issues, working closely with users and development teams.
  
  
• Perform system configuration, testing, and deployment of application enhancements and updates.
  
  
• Collaborate with stakeholders to gather requirements and translate them into technical specifications.
  
  
• Maintain accurate documentation of application configurations, processes, and support procedures.
  
  
• Identify opportunities for application optimization and process improvements, especially through generative AI.
  
  
• Conduct user training and create training materials to ensure effective application usage.
  
  
• Educate and advocate the responsible and ethical use of generative AI within the organization.
  
  
• Provide technical expertise to troubleshoot self-developed LLM applications
• Provide technical expertise to evaluate proposals of custom LLM applications by vendors
• Assist in building a GenAI Playbook for internal use
• Assist in defining LLM application use cases to address problem statements by working with various departments to identify repetitive, high-impact tasks where GenAI can be applied
• Collaborate with various departments to integrate AI tools into existing IT systems
  Lead pilots and proof-of-concepts to demonstrate AI's impact.
  
  

Requirements:

• Bachelor's degree in computer science, Information Technology, or a related field.
  
  
• At least 5 years of IT working experience and minimum 3 years working experience as an AI application analyst or in a similar role.
  
  
• Strong understanding of application support and lifecycle management.
  
  
• Proficiency in troubleshooting and problem-solving complex application issues.
  
  
• Strong understanding of cloud-based applications and SaaS models.
  
  
• Demonstrated experience and a strong interest in generative AI technologies, including an understanding of their capabilities and limitations.
  
  
• Excellent communication and interpersonal skills, with the ability to collaborate effectively with technical and non-technical stakeholders.
  
  
• Ability to manage multiple priorities and work independently or as part of a team.
  
  
• Strong analytical and organizational skills.
  
  
• Strong understanding of LLMs, prompt engineering and GenAI frameworks for LLM application deployment
• Familiarity with RAG or similar agent frameworks
• Experience with APIs (e.g. Google AI Suite, Azure, Autodesk Construction Cloud, Autodesk Platform Services, Whatsapp, etc.)
• Some coding experience is preferred (Python, C#)