द वॉल्ट डिज़्नी कंपनी कहानी कहने, किरदारों और अतिथि अनुभवों पर आधारित एक वैश्विक मनोरंजन व्यवसाय है। इसके संचालन में थीम पार्क और रिसॉर्ट, मीडिया नेटवर्क, फ़िल्म स्टूडियो और इंटरैक्टिव मीडिया शामिल हैं। इसके उत्पाद और अनुभव दुनिया भर में विभिन्न प्लेटफ़ॉर्म और उपकरणों के माध्यम से दर्शकों तक पहुँचते हैं। 1923 में स्थापित डिज़्नी मनोरंजन, आतिथ्य, यात्रा तथा खाद्य और पेय क्षेत्रों में कार्यरत एक बड़े अंतरराष्ट्रीय कार्यबल को एक साथ लाता है और उपभोक्ता डेटा के प्रबंधन में गोपनीयता, पारदर्शिता तथा अनुपालन पर ध्यान बनाए रखता है।
Manager, Applied AI – The Walt Disney Company (Hybrid)
Lead 2–4-person squads that deliver production AI products for Disney’s entertainment and technology businesses. This player-coach role combines LLM application development, stakeholder discovery, and rapid solution delivery.
संयुक्त राज्य
कैलिफ़ोर्निया
वॉशिंगटन$1,71,600 – $2,41,000 / वर्ष
हाइब्रिडपूर्णकालिकवरिष्ठलीडआवश्यक भाषा: अंग्रेज़ीकृत्रिम बुद्धिमत्ताविवरण
- Develop an AI-native builder team within Disney’s Applied AI Acceleration practice
- Manage 2–4-person squads delivering AI products for Disney business partners
- Oversee 2–4 concurrent AI engagements with delivery timelines ranging from days to weeks
- Form squads with Applied AI Engineers, a Squad Anchor or Principal Applied AI Engineer partner, and occasional Data Engineer or TPM support
- Review pull requests, collaborate on complex technical challenges, and contribute directly to the codebase with tools such as Cursor
- Clarify the core business problem, validate feasibility quickly, and decide which solutions should reach production
- Cultivate stakeholder relationships across the organization
- Connect business objectives with technical tradeoffs
- Turn lessons from each engagement into reusable components, playbooks, or templates
- Work on-site at least four days per week to support collaboration and teamwork
- Code and ship alongside the team as a player-coach
आवश्यकताएँ
- At least 8 years of relevant professional experience
- At least 2 years in a leadership-oriented role such as Engineering Manager, Technical Lead, Consulting Engagement Lead, Solutions Engineering Lead, or equivalent
- End-to-end experience delivering AI products involving LLMs, agents, embeddings, and classical machine learning
- Production experience with modern AI application patterns, including prompt design, retrieval-augmented generation, tool-calling agents, and evaluation harnesses
- Working knowledge of data concepts, including SQL, APIs, and basic transformations
- Experience leading people through direct management, technical leadership, or engagement teams
- Bachelor’s degree in Computer Science, Information Systems, Software Engineering, Electrical Engineering, Electronics Engineering, or a comparable field, or equivalent work experience
- Experience developing AI products without a dedicated engineering team is preferred
- Experience working with enterprise-scale data and legacy systems is preferred
- Experience with golden datasets, trace analysis, and LLM-as-judge evaluation is preferred
लाभ
- Bonus and/or long-term incentive units may be available
- Medical benefits
- Financial benefits
- Additional benefits may vary by level and position
- Primarily on-site work with occasional remote work