About The Role

Role Summary

Provide technical leadership for AI engineering initiatives, driving architecture direction, solution delivery, and cross-functional alignment for enterprise AI applications. This role remains development- and solution-oriented, with limited emphasis on administrative people management and stronger focus on technical leadership, execution quality, and business impact.

Key Responsibilities

Lead the design, development, and deployment of enterprise-scale AI/LLM applications and platforms.
Define technical direction and solution architecture for AI initiatives involving LLMs, RAG, MLOps, and enterprise integration.
Drive end-to-end delivery across multiple AI projects, ensuring technical quality, scalability, reliability, and alignment with business objectives.
Partner with business, product, and technical teams to shape AI opportunities into implementable solutions.
Provide technical leadership in architecture review, design decisions, implementation approach, and engineering standards.
Guide team members on complex technical issues, solution design, and delivery execution.
Oversee prioritization, technical planning, risk identification, and execution tracking across AI initiatives.
Promote strong software engineering discipline, including coding standards, testing, observability, documentation, and secure development practices.
Evaluate emerging AI technologies and recommend practical adoption strategies to enhance enterprise AI capability.
Support team capability building through coaching, technical mentoring, and knowledge sharing.
Bachelor’s degree in Computer Science, Computer Engineering, Data Science, Applied Mathematics, Statistics, or related fields; Master’s degree preferred.
3+ years of experience in software development and machine learning, including 2+ years in AI/LLM engineering or technical leadership roles.
Proven experience leading the architecture and delivery of production-grade AI/LLM systems.
Strong hands-on knowledge of Python, ML/LLM frameworks, cloud platforms, APIs, and MLOps practices.
Deep understanding of distributed systems, AI solution architecture, enterprise integration, and secure SDLC practices.
Experience driving cross-functional solution delivery and influencing both business and technical stakeholders.
Strong technical judgment, execution focus, and solution-oriented leadership capability.

★ Recruitment Process Notice

Please note that interview coordination for the next stage will be handled by our offshore Service Hub. All interview-related communications — including availability confirmation and interview invitations — will be conducted via email only.
As phone contact is not available at this stage, kindly check your email regularly (including spam or junk folders) to avoid missing important updates.

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