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Your key responsibilities
As a Principal AI Architect your role encompasses formulating technical solution designs and leading conversations for our Technology, Media, and Telecommunications (TMT) clients. Your primary objectives will include understanding client needs, architecting tailored AI solutions, and conducting workshops and design sessions. You will be expected to devise and implement AI strategies tailored to specific TMT client needs, develop prototypes and proofs of concept (PoCs) to simplify complex sales cycles, and ensure the smooth integration of AI and data platforms into our clients’ technology ecosystem. In addition, you will lead both technical and non-technical members to drive the successful delivery of our professional services.
Architect complex and multi-layered AI systems, ensuring they are scalable, resilient, and tailored to drive transformative outcomes in the TMT sector.
Lead the technical design and deployment of enterprise-grade AI solutions, leveraging 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.
To qualify for the role, you must have:
Bachelor’s degree, or master’s degree in computer science, Informatics, Statistics, Applied Mathematics, Data Science, Machine Learning, or Artificial Intelligence and 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.
Ideally, you’ll also have
Experience in at least one of Telecom, Media, and Technology industries.
A portfolio showcasing a broad and deep array of AI projects, preferably with a repository (e.g. on GitHub) as a testament to your expertise.
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
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