AI Delivery Manager

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. The remote work option is available to candidates residing and working within Slovakia.  ResponsibilitiesAct as a bridge between technology and business, understanding business objectives — including business cases, project purposes, expected outcomes, and delivered valueManage full lifecycle of AI initiatives (GenAI, ML)Own delivery scope, schedule, quality, and budgetLead multidisciplinary global teams and ensure alignment across engineering and client stakeholdersAct as main delivery contact for clients; build trusted relationshipsOversee risk, financials, and contract adherenceEnsure compliance with legal, ethical, and security standards in AIMentor team members and promote delivery excellence and engineering excellence RequirementsStrong client-facing, risk management, and stakeholder communication skills3+ years in GenAI and traditional ML delivery management (e.g., RAG-based applications, chatbots, recommender systems, forecasting systems)3+ years of previous experience as an engineer (e.g., data scientist, machine learning engineer, data engineer, devops, Python engineer)Solid understanding of GenAI and ML technologies, and data management fundamentalsExperience with at least one major cloud provider (AWS, Azure, GCP, Databricks)Ability to lead cross-functional, distributed teamsAbility to enforce engineering excellence and work closely with solution architects We offerOpportunity to work in a fast-paced, agile, software engineering cultureBenefit program (5 weeks of vacation, 5 paid sick days, meal vouchers, cafeteria and recreation bonuses, reimbursement of glasses, contribution to pension fund)Referral bonuses for recommended candidatesEnglish language coursesGreat learning and development opportunities, including in-house professional training, career advisory and coaching, sponsored professional certifications, well-being programs, LinkedIn Learning Solutions and much more Certain benefits and perks may be subject to eligibility requirements and may be available only after you have passed your probationary period.