Forward Deployed Developer, Generative AI

• Bachelor's degree or equivalent practical experience.
  
• 5 years of experience with software development in Python.
• 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging).
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
  
• 1 year of experience with state of the art Generative AI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with Generative AI-related concepts (language modeling, computer vision).

• 5 years of experience with data structures/algorithms.
• Experience in solving customer problems by navigating ambiguous requirements to deliver effective technical solutions and tangible business outcomes.
• Experience in prompt developing, model evaluation, and the creative application of Artificial Intelligence (AI).
• Experience in Vertex AI, BigQuery, Cloud Storage, Dialogflow.
• Ability to be flexibile and resilient in dynamic environments where priorities often shift and to take ownership and respond to urgent business or customer issues.

Google's software developers 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 software developers 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 developer, 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 software developers 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.

In this role, you will work with enterprise customers to build and develop multi-modal Artificial Intelligence (AI) agents to augment their contact center and improve their end consumer experiences. You will be at the forefront of applying Google's exceptional Generative AI to solve real-world issues for our most customers. You will act as a specialized software developing embedded with key accounts, working to build, deploy, and optimize sophisticated AI agents on our Commerce Enabling Services (CES) platform. You will bridge the gap between our core product developing teams and customer needs, directly accelerating customer success and shaping the future of our AI products.

Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

• Partner directly with customers to understand their business issues. Design, co-develop, debug, and deploy custom conversational AI agents and solutions to accelerate their time to value.
• Act as a problem solver, empowered to write bespoke code, develop custom tooling, and contribute directly to the core product codebase to resolve critical customer issues.
• Systematize the learnings from customer engagements by creating reusable tools, building documentation and accelerators, and establishing best practices that can be used across the organization.
• Serve as a critical feedback loop to our core Product and Developing teams. Synthesize firsthand insights from the field to influence product strategy, identify feature gaps, and ensure our roadmap is aligned with real-world customer needs.
• Provide technical guidance to customers on agent improvement, performance tuning, Continuous Integration/Continuous Deployment (CI/CD) pipelines, and production readiness.