Software Engineer, Applied AI, Public Sector

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in one or more programming languages.
• 1 year of experience with one or more of the following: Gen AI, Natural Language Processing or specialization in another ML field.
• 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical field.
• 2 years of experience with data structures/algorithms.
• 2 years of experience with product/solution development with a focus on product capabilities, features, benefits, users, and support needs.
• Experience in a customer-facing role, communicating technical concepts and solutions to non-technical and executive audiences.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

As an AI/ML Software Engineer, you will work on developing reusable solutions by integrating one or more GCP products and technologies to solve a recurring business problem in a differentiated, repeatable manner that accelerates time-to-value and reduces risk for customers. You will develop repeatable assets that reduce implementation friction, and increase maintainability for critical customer problems and use cases, helping them transform businesses using GCP AI/ML stack and related technologies. You will help customers to develop, deploy, and manage custom solutions in production using Google Cloud technologies. You will work with key Google partners and customers to scope engagements, provide solution implementation services, provide technical guidance and best practices

Must be a US Citizen to meet customer and compliance requirements, including potential access to classified information.Google Public Sector brings the magic of Google to the mission of government and education with solutions purpose-built for enterprises. We focus on helping United States public sector institutions accelerate their digital transformations, and we continue to make significant investments and grow our team to meet the complex needs of local, state and federal government and educational institutions.

Responsibilities

• Architect innovative, long-term solutions by strategically analyzing customer needs and focusing on future possibilities; oversee cross-functional teams in the development of deployable code, machine learning models, prescriptive architecture, and implementation guides.
• Define and own solution requirements, ensuring alignment with the go-to-market strategy; co-lead the design, roadmap, and overall goal for customer-centric solutions.
• Cultivate trusted technical and business partnerships with customers and partners to identify and resolve recurring mission use cases using Google Cloud Platform (GCP) services.
• Lead collaboration with internal specialists, partners, GTM teams, product and engineering teams to transform best practices into thought leadership, methodologies, and published assets.
• Enable customers and partners to develop, deploy, and manage custom solutions on Google Cloud technologies.