Strategic skill management and development: Khandabattu said that skill management and development are central to a leader’s responsibilities. “Software engineering leaders must upskill their teams in large language models (LLMs), prompt engineering, and more, so they can tackle new challenges.” They also must collaborate with human resources departments to develop tailored AI training programs.
Cultivating a culture of learning: Fostering agile learning programs can lead to improved business outcomes, more adaptable employees, and a proactive plan to address evolving skill requirements, according to Khandabatt. “The idea is to develop each employee’s genAI skills ahead of demand.”
Establishing new ethics policies: To implement clear AI ethics policies, software engineering leaders should define responsibilities across DevOps, DataOps, and ModelOps cycles. Khandabattu said that the critical role of legal and security teams in these efforts. “There is a clear need to coordinate these cross-functional activities, ensuring accountability and smooth handoffs. Legal and security teams must also be involved in these efforts.”
