Senior AI Delivery Manager

Quick Facts

• Role: Senior AI Delivery Manager

Description

Lead end-to-end delivery of AI and Data projects from discovery to production. You will be accountable for project success by combining delivery management expertise with a solid understanding of AI, ML, and data technologies. The role covers GenAI Product development, ML Product development, and AI Platform enablement.

Responsibilities

• Bridge technology and business by translating business objectives into business cases, project purposes, expected outcomes, and delivered value

• Own the full lifecycle delivery of AI initiatives (GenAI, ML)

• Manage delivery scope, schedule, quality, and budget

• Lead multidisciplinary global teams and ensure alignment across engineering and client stakeholders

• Act as the main delivery contact for clients and build trusted relationships

• Oversee risks, 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 prior 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

• Supportive agile, startup-like culture and top tech minds working on AI and cloud modernization

• Hybrid work model; opportunity to work remotely within Poland

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

• Growth opportunities: career development programs, thought leadership, mentoring, soft skills and well-being programs

• Certifications (Anthropic, Gemini, GCP, Azure, AWS) and English classes

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

• Benefits package: health insurance, multisport, shopping vouchers

• Referral bonuses up to $2,000

• Office amenities including entertainment/relaxation zones, table tennis and football, free snacks and coffee, plus corporate and social events