Deployment Strategist - AI Agents

About the role

Gözen Digital Aviation (GDA), the technology company of Gözen Group, builds AI solutions for aviation software and has an AI Transformation Office integrating AI agents into airline, ground handling, security, training and support operations. It is looking for a Deployment Strategist to lead AI implementations from discovery through pilot, rollout and adoption, starting with Gözen Group companies and then external enterprise and aviation customers.

Key responsibilities

• Work with business units and aviation and airline operations teams to understand their processes and systems and identify the problems most worth solving, visiting sites when needed.
• Lead discovery to map workflows, define success criteria and identify constraints, including aviation regulations, KVKK and security requirements.
• Define scope, success metrics and integration plans for pilots and rollouts, and turn them into implementation plans for engineering teams.
• Coordinate deployments across Product, Engineering and customer stakeholders, track progress, manage risks and remove blockers.
• Support go-live and adoption, and monitor AI agents in production using real usage data and KPIs.
• Identify new use cases and growth opportunities within the Group and with external customers.
• Decide with the Forward Deployed Engineering team how agents are built and orchestrated, and turn successful deployments into reusable playbooks.

Required profile

• 3+ years of hands-on experience in deployment, implementation, delivery or technical project management.
• Ability to bring structure to open-ended problems, turn them into actionable plans and own them through to completion.
• Strong communication and stakeholder management skills, working with frontline operations teams, technical teams and senior leaders.
• Strong English to lead business discussions, deliver presentations and handle professional correspondence.

Required skills

• Practical understanding of LLMs and agent systems, including hallucination, context windows, cost and latency, tool/function calling, Model Context Protocol (MCP) and multi-agent orchestration.
• Solid understanding of APIs, MCP, data flows and system integrations.
• Nice to have: experience with an agent platform such as Claude, OpenAI Agents SDK, LangGraph, CrewAI or n8n; solutions engineering or technical consulting background; software development experience; experience in a fast-growing or early-stage environment.