Effective skill management and development are vital for software engineering leaders, who must enhance their teams' capabilities in areas like large language models and prompt engineering. This requires collaboration with human resources to create AI training programs. Additionally, fostering a culture of learning helps employees develop necessary skills proactively. Leaders must also establish clear AI ethics policies, defining roles in various operational cycles, and ensuring cooperation between legal, security, and development teams for accountability and smooth integration of ethical practices.
Software engineering leaders must upskill their teams in large language models (LLMs), prompt engineering, and more, so they can tackle new challenges.
The idea is to develop each employee's genAI skills ahead of demand.
There is a clear need to coordinate these cross-functional activities, ensuring accountability and smooth handoffs.
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