Principal AI Architect - Technology, Media & Telecommunications (TMT) - Senior Manager - Consulting
The Opportunity
We are looking for a Principal AI Architect to join our team and lead our AI initiatives, driving innovation and excellence in AI strategy and implementation within the Technology, Media, and Telecommunications 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. This is a high growth, high visibility area with plenty of opportunities to enhance your skillset and build your career.
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 in the design and deployment of enterprise-grade AI solutions.
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