RESPONSIBILITIES 

• Design enterprise agentic AI solutions using multi-agent orchestration frameworks 
• Architect RAG pipelines, vector memory layers, and tool-enabled agent workflows 
• Define scalable LLM integration architectures across cloud platforms 
• Lead AI discovery workshops with enterprise clients 
• Translate business challenges into AI solution blueprints 
• Lead proposals, estimation, and technical positioning 
• Drive the internal solutioning cycle, coordinating between the presales team and delivery team to assemble the right team of stakeholders
• Serve as an advisor to clients throughout the project lifecycle, helping them navigate issues and ensuring delivery excellence
• Architect AI solutions integrated with CRM, ERP, commerce, and data platforms 
• Design secure API-first agent orchestration layers 
• Define human-in-the-loop and governance-ready AI workflows 
• Actively engage within the SmartOSC partner community, staying informed of developments within partner solutions and incorporating this knowledge into client engagements
• Provide architecture guidance to engineering teams 
• Establish best practices for AI delivery within the Company
• Engage with internal teams to ensure alignment, share knowledge, and optimise workflows for better operational efficiency
• Other tasks assigned by the Supervisor
  

REQUIREMENTS 

• Bachelor degree in Computer Science, Information Systems, Engineering, or a related field.
• 12+ years of experience in Solution Architecture / Technical Consulting.
• Hands-on experience with: Agent frameworks (LangChain, LangGraph, AutoGen, CrewAI), RAG pipelines & vector databases, Azure / AWS / GCP AI platforms
• Experience integrating AI with enterprise systems via APIs & microservices.
• Strong stakeholder communication and consulting capability.
• Strong communication in English and presentation skills, with the ability to explain architecture concepts to business stakeholders and clients.
• Experience supporting client-facing engagements, presales activities, or solution architecture consulting is highly preferred.
• Experience in the airline, aviation, or travel industry is a strong advantage
• Ability to work effectively with cross-functional teams, including sales, consulting, engineering, and business stakeholders.
• Ability to lead and establish best practices for AI delivery within the Company