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Google Looking for Field Solutions Architect III, Generative AI, Public Sector at Reston, VA, USA Full Time
The application window will be open until at least June 13, 2024. This opportunity will remain online based on business needs which may be before or after the specified date.Note: Google’s hybrid workplace includes remote and in-office roles. By applying to this position you will have an opportunity to share your preferred working location from the following:
In-office locations: Reston, VA, USA.
Remote location(s): United States.
Minimum qualifications:
- Bachelor’s degree in Science, Technology, Engineering, Math, or equivalent practical experience.
- 7 years of experience in AI applications (e.g., deep learning, NLP, computer vision, or pattern recognition).
- 1 year of experience in statistical programming language (e.g., Python), applied machine learning techniques, and using OSS frameworks (e.g., TensorFlow, PyTorch).
- Experience delivering technical presentations and leading business value sessions.
Preferred qualifications:
- Master’s degree in Computer Science, Engineering, or a related technical field.
- Experience designing and deploying in one or more from the following Machine Learning (ML) frameworks: TensorFlow, PyTorch, JAX, Spark ML, etc.
- Experience training and fine tuning models in large-scale environments (e.g., image, language, recommendation) with accelerators.
- Experience with distributed training and optimizing performance versus costs.
- Experience with CI/CD solutions in the context of MLOps and LLMOps including automation with IaC (e.g., using terraform).
- Experience in systems design with the capability to design and explain data pipelines, ML pipelines, and ML training and serving approaches.
About the job
As a Generative AI Field Solutions Architect, you will play a pivotal role in supporting our Google Cloud sales organization within the Rapid Innovation Team (RIT). You will be responsible to construct rapid prototype Generative AI applications tailored to public sector customers (SLED, Federal) paired with enabling the GPS Customer Engineers (CE) community on best practices and reusable assets (e.g., code, demos).
You will leverage the latest technologies to develop innovative solutions and validate their efficacy. You will be tasked with swiftly showcasing the latest Generative AI capabilities through direct collaboration with customers. You will be instrumental in materializing functional solutions on the Google Cloud platform. You will collaborate with our product team to eliminate obstacles and shape the future business.
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.
The US base salary range for this full-time position is $171,000-$257,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Be a trusted advisor to our customers by understanding the customer’s business process and objectives. Design Generative AI-driven solutions, spanning AI, Data, and Infrastructure, and work with peers to include the full cloud stack into overall architecture.
- Work with customers on application prototypes, demonstrating Generative AI features, prompting and tuning models, optimizing model performance, profiling, and benchmarking. Troubleshoot and find solutions to issues in Generative AI applications.
- Build repeatable technical assets (e.g., scripts, templates, reference architectures, etc.) to enable customers and internal teams.
- Work cross-functionally to influence Google Cloud strategy and product direction at the intersection of infrastructure and AI/ML by advocating for enterprise customer requirements.
- Coordinate regional field enablement with leadership and work closely with product and partner organizations on external enablement. Travel as needed.
