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

The Role

We are seeking a Principal AI Architect to lead our AI initiatives within the Technology, Media, and Telecommunications (TMT) sector. The ideal candidate will bring deep expertise in AI and machine learning technologies, a proven track record of delivering innovative AI solutions, and a passion for leveraging AI to drive significant business outcomes for our clients.

Key Responsibilities

• Architect complex and multi-layered AI systems, ensuring they are scalable, resilient, and tailored to drive transformative outcomes in the TMT sector.
• Leverage cloud-native architectures for optimal data management and analytics.
• Conduct technical deep-dive sessions to extract nuanced AI requirements, crystallizing them into robust execution plans with measurable success criteria.
• Design for and enforce AI governance frameworks to address ethical considerations, regulatory compliance, and robust security postures in solution design.
• Harness cutting-edge AI methodologies, including computer vision and Gen AI / advanced Natural Language Processing, to deliver tangible improvements in client operations.
• Translate complex analytical findings into actionable insights for C-suite stakeholders, employing advanced data visualization techniques.
• Drive the technical growth of AI Engineers and Data Scientists, instilling best practices in software engineering, algorithm optimization, and systems integration.
• Evaluate and integrate emergent AI technologies and methodologies to maintain a competitive edge in the firm’s service offerings.
• Serve as a technical authority on data architecture, championing the adoption of modern data technologies for high-volume, high-velocity data ecosystems.
• Orchestrate the execution of AI projects with precision, ensuring adherence to technical specifications, deadlines, and quality benchmarks.
• Maintain an expert-level understanding of industry-specific trends and technology advancements to inform strategic solution architecture.
• Cultivate excellence within AI project teams, promoting a culture of technical rigor and collaborative problem-solving.
• Strategize and steer business development activities, forming enduring client partnerships through the delivery of impactful AI-driven solutions.

Qualifications

• 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.
• 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.

Education

• Required: BS in STEM with significant focus on AI, Computer Science, Data Science or ML.
• PREFERRED: MS in AI, Data Science or ML.

What We Offer

• Comprehensive compensation and benefits package including base salary range of $144,000 to $329,100 in all geographic locations in the US, and $172,800 to $374,000 in the New York City Metro Area, Washington State and California (excluding Sacramento).
• Flexible vacation policy allowing you to decide how much vacation time you need based on your personal circumstances.
• Wide range of paid time off options including EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence.