Director - Applied AI Engineering

Director - Applied AI Engineering.

Location:

If you are a visionary leader with deep technical expertise in AI engineering, LLMs, NLU/NLP, voice, and cloud technologies, and a passion for building world-class teams, we invite you to apply for this exciting opportunity.

Overview:

Key Responsibilities:

AI Engineering (50%)

• Architect, design, and implement scalable AI solutions, with a focus on Large Language Models (LLMs), Natural Language Understanding (NLU), Natural Language Processing (NLP), and voice technologies.
• Lead the development and deployment of AI models and systems, ensuring robust data pipelines and model monitoring.
• Apply cloud engineering best practices, including infrastructure design and automation using Terraform.
• Collaborate with product, business, and technology stakeholders to translate requirements into actionable AI solutions.
• Stay current with emerging AI, LLM, and voice technologies, driving adoption and innovation.

Leadership & Management (50%)

• Lead, mentor, and manage multiple AI engineering teams, fostering a culture of innovation and technical excellence.
• Set strategic direction, define goals, and ensure successful delivery of AI projects across business units.
• Develop talent, build team capabilities, and drive continuous improvement.
• Partner with senior executives to align AI initiatives with organizational objectives.
• Oversee resource allocation, budgeting, and performance management for all teams under your purview.

Qualifications:

• Advanced degree (Master’s or PhD) in Computer Science, AI, or related field.
• 12+ years of experience in AI engineering, with at least 5 years in a senior leadership role.
• Proven track record of delivering large-scale AI solutions, including LLM, NLU/NLP, and voice technologies, in a complex, multi-team environment.
• Strong expertise in cloud platforms, infrastructure automation (Terraform), and AI/ML frameworks.
• Excellent leadership, communication, and stakeholder management skills.
• Experience working in global organizations and managing cross-functional teams