Software Engineer, Applied AI, Public Sector

Google is seeking a Software Engineer specializing in Applied AI for their Public Sector division. This role combines software engineering expertise with artificial intelligence, focusing on developing solutions for government and educational institutions. The position involves working with Google Cloud Platform (GCP) to create reusable AI/ML solutions that solve critical customer problems.

The role requires a strong foundation in software development and machine learning, with specific experience in areas like Gen AI and Natural Language Processing. You'll be working at the intersection of cutting-edge AI technology and public sector needs, helping government institutions accelerate their digital transformations.

As part of Google's public sector team, you'll have the opportunity to work on projects that have significant impact on government and educational operations. The role involves both technical development and customer interaction, requiring strong communication skills to explain complex technical concepts to non-technical audiences.

The position offers competitive compensation ($141,000-$202,000 base salary) plus bonus, equity, and comprehensive benefits. You'll be working from either Reston, VA or Washington D.C., putting you at the heart of government technology innovation.

Key responsibilities include architecting innovative solutions, leading cross-functional teams, defining solution requirements, and building partnerships with customers. You'll need to balance technical expertise with business acumen, ensuring solutions meet both technical requirements and customer needs.

This is an excellent opportunity for someone passionate about applying AI technology to public sector challenges, offering the chance to work with Google's advanced technology stack while making a meaningful impact on government and educational services. The role provides significant growth potential and the opportunity to work with cutting-edge AI/ML technologies in a mission-driven environment.