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Principal AI Architect - Technology, Media & Telecommunications (TMT) - Senior Manager - Consulting

LinkedIn EY Kansas City, MO
Mid-Senior level Posted April 5, 2026 12 variants Job link
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Requirements
  • General And Technical Experience
  • 8-10 years’ experience in industry or technology consulting.
  • Deep knowledge of AI disciplines, such as machine learning, deep learning, NLP, speech-to-text, computer vision, etc.
  • Ability to design end-to-end AI solutions that include data collection, preprocessing, model development, deployment, and monitoring.
  • Exceptionally proficient in advanced Python programming for AI.
  • Hands-on experience with stable and evolving AI frameworks and design patterns.
  • Must have deployed AI models in Production.
  • Demonstrated leadership in guiding teams to design, test, deploy, and refine AI models, incorporating MLOps and AIOps practices.
  • Practical knowledge of AI governance principles and implementation methodologies within AI pipelines and solutions.
  • Excellent leadership, communication, and project management skills.
  • A valid driver’s license in the US; willingness and ability to travel to meet client needs.
  • Industry Experience
  • Extensive experience in telecommunications sector, with a strong understanding of industry trends.
  • Experience with Telecom customer lifecycle – Marketing, acquisition, onboarding, billing, customer care
  • Experience with Telecom network management – install, maintenance and repairs, network and call data collection, network optimization
  • Understanding of customer segmentation, churn prediction, and recommendation systems tailored to media and telecommunications.
  • Understanding of revenue assurance – data, systems and processes
  • Knowledge of regulatory and compliance considerations specific to the TMT sector
  • Experience with OSS/BSS systems – implementation, enhancement, maintenance and support
  • Familiarity with telecommunications protocols (e.g., 5G, LTE, fiber) and their implications for data science.
  • Proven ability to design and implement machine learning solutions that enhance network performance and customer experience.
  • Experience analyzing large-scale datasets from telecommunications networks, including call detail records and performance metrics.
Preferred Skills
  • Understanding of customer segmentation, churn prediction, and recommendation systems tailored to media and telecommunications.
  • Knowledge of regulatory and compliance considerations specific to the TMT sector
  • Experience with OSS/BSS systems – implementation, enhancement, maintenance and support
  • Familiarity with telecommunications protocols (e.g., 5G, LTE, fiber) and their implications for data science.
  • Proven ability to design and implement machine learning solutions that enhance network performance and customer experience.
  • Experience analyzing large-scale datasets from telecommunications networks, including call detail records and performance metrics.
  • Preferred : MS in AI, Data Science or ML
Education
  • (Not required) – Education
  • (Required) – Required : BS in STEM with significant focus on AI, Computer Science, Data Science or ML
  • (Not required) – Preferred : MS in AI, Data Science or ML