AI Consultant

REQUIREMENTS

• Hands-on experience with AI Agents and automation tools (e.g., Claude Cowork, or similar) - not just using LLMs for search, but demonstrable experience automating personal or business tasks with AI

• Strong understanding of at least one enterprise process group (e.g., Lead-to-Cash, Design-to-Operate, Procure-to-Pay, etc.)

• Proven experience with project scoping, effort estimation and delivery planning

• Excellent communication and presentation skills with the ability to articulate complex technical concepts to business audiences

• Strong negotiation skills for client engagements and stakeholder management

• Advanced English proficiency (written and verbal)

• Critical thinking and structured problem-solving mindset must

• Ability to work effectively as a liaison between technical and non-technical teams

NICE TO HAVE

• Experience working with large enterprise clients in consulting roles

• Background in business process optimization or digital transformation


• Understanding of AI/ML concepts

RESPONSIBILITIES

AI Discovery & Client Advisory

• Lead AI Discovery Workshops for large enterprise clients to assess their business readiness for AI implementation

• Evaluate organizational AI maturity and identify automation opportunities aligned with client pain points and strategic priorities

• Identify areas where AI can be scaled across the organization for maximum business impact

• Consult clients on various AI tools and technologies, providing clear recommendations on optimal solutions with supporting rationale

• Deliver compelling demonstrations of AI capabilities and use cases to stakeholders
  

AI Project Implementation

• Act as a bridge between technical teams and business stakeholders during AI project delivery

• Translate business requirements into clear technical specifications for development teams

• Present project results and outcomes to clients, articulating business value and technical achievements

• Create project scopes, effort estimations, and delivery timelines
  

Product Development Contribution

• Participate in
  Graip.AI - AI Solutions for Document Processing product roadmap discussions and sprint planning sessions

• Bring client feedback, market insights and feature requests gathered from pre-sales meetings and active projects

• Contribute ideas for product improvements based on real-world enterprise use cases