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November 3, 2026

Senior AI Delivery Manager

Senior • On-site

Lodz, Ldz, Poland

Quick Facts

  • Role: Senior AI Delivery Manager

Description

Lead end-to-end delivery of AI and Data projects from discovery to production. Own delivery scope, schedule, quality, and budget while bridging business objectives with GenAI/ML engineering teams. Focus on GenAI product development, ML product development, and AI platform enablement.

Responsibilities

  • Act as a bridge between technology and business; define business cases, objectives, expected outcomes, and delivered value

  • Manage the 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

  • Serve as the main client delivery contact; 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 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 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 with the opportunity to work remotely within Poland

  • Opportunity to work abroad for up to 60 days annually; business-driven relocation opportunities

  • Career development programs, mentoring, soft skills and well-being programs

  • Certifications (Anthropic, Gemini, GCP, Azure, AWS)

  • English classes

  • Stable pay; Employee Stock Purchase Plan with a 15% discount

  • Benefits package (health insurance, multisport, shopping vouchers)

  • Referral bonuses up to $2,000

  • Corporate, social, and well-being events; office amenities (snacks, coffee, entertainment zones)

  • Open to working with contractors (B2B terms agreed individually)

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