onsite
Field Solutions Architect III, Generative AI - Google
AI Engineer
Senior solutions architect specializing in generative AI, designing and deploying scalable, secure AI/ML solutions on Google Cloud for public‑sector customers.
About the role
Key Responsibilities
- Lead the technical design and implementation of generative AI solutions for federal, state, and local government clients.
- Architect end‑to‑end cloud environments on Google Cloud Platform, ensuring compliance with security and classification requirements.
- Collaborate with product, engineering, and policy teams to translate customer needs into scalable AI/ML services.
- Provide hands‑on guidance, code reviews, and best‑practice workshops in Python, TensorFlow/PyTorch, and data pipelines.
- Develop proof‑of‑concepts, demos, and technical documentation to accelerate adoption of generative AI technologies.
Requirements
- US citizenship with ability to obtain and maintain access to classified information.
- 10+ years of experience in solution architecture, cloud infrastructure, and AI/ML deployments.
- Deep expertise in Generative AI models, large‑scale data processing, and Google Cloud services (Vertex AI, GKE, BigQuery, IAM).
- Proficiency in Python and modern ML frameworks; strong scripting and automation skills.
- Excellent communication and stakeholder‑management abilities, with a track record of delivering complex technical solutions in the public sector.
Skills
generative aimachine learningpython