Lead AI Engineer

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The Lead AI Engineer will be responsible for architecting and implementing advanced voice interaction systems that leverage Automatic Speech Recognition (ASR), Text-to-Speech (TTS), Natural Language Understanding (NLU), and Data Analytics capabilities. This role requires a deep understanding of cutting-edge AI technologies and frameworks to design, build, and optimize real-time voice solutions for various applications. The engineer will mentor cross-disciplinary teams, fostering collaboration among AI, speech, user experience, and product management, while ensuring compliance with industry standards and ethical practices. The ideal candidate will exhibit exceptional leadership in driving technical innovation, model lifecycle management, and performance optimization. With strong expertise in managing dialogue flows and voice experience design, the Lead AI Engineer will also focus on the governance and ethical dimensions of AI deployment, making critical decisions that impact both users and the organization.

Job Requirements :

• Minimum of 15 years of experience in AI engineering, machine learning, or related fields, with significant exposure to voice technologies.
• Proven experience in Automatic Speech Recognition systems, with expertise in speech model tuning, domain adaptation, and real-time transcription.
• Strong knowledge of Text-to-Speech systems, including customization and optimization of neural TTS models for natural-sounding voice generation.
• Demonstrated expertise in Natural Language Understanding, focusing on intent extraction, context management, and LLM prompt engineering.
• Experience in designing and implementing autonomous dialogue management systems and conversational flows that handle interruptions and ambiguity.
• Proficiency in integration and systems engineering, particularly in end-to-end voice-agent pipeline design and telephony / VoIP integrations.
• Understanding of conversation and UX design principles, with the capability to establish human-like interactions and adaptive response mechanisms.
• Advanced skills in data logging, performance metrics, and developing dashboards to monitor key performance indicators.
• Experience in managing compliance with regulations such as GDPR and HIPAA, alongside expertise in ethical AI practices.
• Proven technical leadership skills, with a track record of mentoring teams and driving architectural innovations.
• Excellent stakeholder management abilities, capable of aligning technical solutions with business objectives.

Job Responsibilities :

Required Skills :

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Engineering and Information Technology

Industries : Government Administration and Technology, Information and Media

Location : Riyadh, Saudi Arabia

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