AI Enablement Specialist

About the job

AI Enablement Specialist

Tasks

The role involves the following tasks:

• Accelerating Education and Engagement
• Solving Real-World Business Problems with AI
• Driving Process Transformation
• Building AI Product Knowledge

Tasks in detail

• Accelerating education and civic engagement:
  • Become the person people turn to when they want to understand what AI can do for businesses
  • Conducting workshops, pair-building sessions, and demos to turn concepts into users and users into builders
  • Introduction to tools and business benefits at the intersection of AI/technology and business
  • Create investable templates, playbooks, and guidelines that scale your impact beyond 15 engagements
• Solving real-world business problems with AI:
  • Rapid prototyping and development of solutions using Python, LLM APIs (Anthropic Claude, OpenAI), and the MAA platform (our internal platform)
  • Creating end-to-end solutions, from problem analysis with stakeholders to a fully functional solution that they can use
  • Focus on initial market solutions to create scalable artifacts
• Driving process transformation:
  • Mapping end-to-end business processes (customer lifecycle, reporting chains, operational workflows) and identifying where AI offers the greatest impact
  • Designing a new process or redesigning an existing one, but redesigning
  • Collaborate with the strategy team to deliver cross-functional improvements that benefit multiple business units
  • Developing the business case; defining metrics, measuring benefits, and presenting results to management
• Building AI product knowledge:
  • Become an expert in M&A capabilities: what they can do today, what’s on the roadmap, where the gaps lie, and how to demonstrate ROI and translate it into practical applications for M&A
  • Stay up to date on the latest AI trends, techniques, and best practices
  • Build bridges between the AI engineering team (which builds the platform) and the business (which uses it), and translate requirements in both directions
  • Maintaining and updating the platforms; developing tools, integrations, and workflows that become part of M&A’s shared capabilities

Requirements

The following requirements are essential:

• 5–10 years of experience in roles that combine technical delivery with solving business problems
• Sample skills: You don't necessarily need to be a systems engineer, but you must be able to create prototypes, work with APIs, process data, and design features
• Previous experience with large language models (LLMs); you have built things using Claude/GPT or similar
• Experience working with stakeholders; you can work with a senior