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.
