- Work model
- Remote
- Experience
- 3+ years
- Employment
- Contract
- Compensation
- Not disclosed
- Technology signal
- 10 tags
Technology context
10Parsed from the vacancy text; ordered by relevance to this role.
AIAWSGenAIMachine LearningAzurePythonRAGGCPCloudDevOps
Full listing
Role description
We are looking for an AI Delivery Manager to lead end-to-end delivery of AI and Data projects - from discovery to production. You will be accountable for project success , combining strong delivery management expertise with a solid understanding of AI, ML, and data technologies . You will focus on three categories of projects: GenAI Product development, ML Product development and AI Platform enablement.
Join a global team delivering AI-driven transformation for leading enterprises. Work with cutting-edge GenAI and ML technologies , collaborate with top experts, and shape the next generation of intelligent solutions.
Responsibilities
- Act as a bridge between technology and business, understanding business objectives - including business cases, project purposes, expected outcomes, and delivered value.
- Manage full lifecycle of AI initiatives (GenAI, ML).
- Own delivery scope, schedule, quality, and budget.
- Lead multidisciplinary global teams and ensure alignment across engineering and client stakeholders.
- Act as main delivery contact for clients; build trusted relationships
- Oversee risk, financials, and contract adherence.
- Ensure compliance with legal, ethical, and security standards in AI.
- Mentor team members and promote delivery excellence and engineering excellence
Requirements
- Strong client-facing, risk management, and stakeholder communication skills.
- 3+ years in GenAI and traditional ML delivery management (e.g., RAG-based applications, chatbots, recommender systems, forecasting systems)
- 3+ years of previous experience as engineer (e.g., data scientist, machine learning engineer, data engineer, devops, python engineer)
- Solid understanding of GenAI and ML technologies, and data management fundamentals.
- Hands-on experience with AWS is required. Experience with other cloud platforms, such as Azure, GCP is considered a plus
- Ability to lead cross-functional, distributed teams.
- Ability to enforce engineering excellence and closely work with solution architects
- Knowledge of the Greek language is a must