Senior AI Delivery Manager

Quick Facts

Senior AI Delivery Manager leading end-to-end AI and data delivery from discovery through production. Covers GenAI product development, ML product development, and AI platform enablement.

Description

Own the full lifecycle delivery of AI initiatives (GenAI and ML) by aligning business objectives with engineering execution. You will manage scope, schedule, quality, and budget while coordinating global multidisciplinary teams and client stakeholders. Compliance with legal, ethical, and security standards for AI is a key part of the role.

Responsibilities

• Act as a bridge between technology and business, 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
• Be the main delivery contact for clients and 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 delivering GenAI and traditional ML projects (e.g., RAG-based applications, chatbots, recommender systems, forecasting systems)
• 3+ years 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 fundamentals
• Experience with at least one major cloud provider (AWS, Azure, GCP, Databricks)
• Ability to lead cross-functional, distributed teams
• Ability to enforce engineering excellence and work closely with solution architects

Benefits

• Hybrid work model; remote work opportunity within Poland
• Work abroad up to 60 days annually and potential business-driven relocation opportunities
• Career development and mentoring programs; thought leadership and well-being support
• Certification support (Anthropic, Gemini, GCP, Azure, AWS) and English classes
• Stable pay and Employee Stock Purchase Plan (15% discount)
• Comprehensive benefits package (health insurance, Multisport, shopping vouchers)
• Referral bonuses up to $2,000
• Office amenities and corporate, social, and well-being events
• Contractors supported via individually agreed B2B terms; benefits apply to employees only