Field Solution Architect II, AI Infrastructure
Description For Field Solution Architect II, AI Infrastructure
Google Cloud is seeking a Field Solution Architect II specializing in AI Infrastructure to join their team. This role sits at the intersection of cloud infrastructure and artificial intelligence, working with Google Cloud's industry-leading AI/ML accelerators (TPU/GPU).
The position involves supporting sales teams and working directly with customers ranging from AI innovators and large enterprises to early-stage AI startups. You'll be responsible for helping organizations implement and optimize their AI infrastructure on Google Cloud, focusing on performance optimization, cost efficiency, and architectural design of large-scale AI compute clusters.
Key responsibilities include designing and implementing large-scale training and inferencing platforms, conducting proof of concepts, optimizing model performance, and influencing Google Cloud's strategy through customer feedback. You'll work with cutting-edge technology, including the latest AI accelerators, and help customers leverage these tools within their overall cloud strategy.
The ideal candidate should have strong experience in cloud infrastructure, distributed training, and machine learning operations. Technical expertise in Python, frameworks like TensorFlow and PyTorch, and orchestration tools like Kubernetes is essential. Experience with large model training, containerization, and performance profiling would be particularly valuable.
This role offers competitive compensation including a base salary range of $142,000-$211,000, plus bonus, equity, and comprehensive benefits. It provides an excellent opportunity to work at the forefront of AI infrastructure, helping shape the future of cloud computing while working with diverse customers across multiple industries.
The position offers flexibility in location, with multiple office options across the United States, and involves some travel to customer sites and events. You'll be part of Google Cloud's mission to accelerate digital transformation across industries while working with cutting-edge AI technology and infrastructure.
Responsibilities For Field Solution Architect II, AI Infrastructure
- Become trusted advisors to customers, helping them understand and incorporate AI accelerators into their cloud strategy
- Design large-scale training and inferencing platforms
- Demonstrate Google Cloud differentiation through POCs, feature demonstrations, and performance optimization
- Build repeatable assets to enable other customers and internal teams
- Influence Google Cloud strategy at the intersection of infrastructure and AI/ML
- Travel to customer sites and events as needed
Requirements For Field Solution Architect II, AI Infrastructure
- Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience
- 5 years of experience with cloud infrastructure
- Experience with distributed training and optimizing performance versus costs
- Experience coding in Python, bash scripting, and using OSS frameworks such as TensorFlow, PyTorch, Jax
- Experience with orchestrators such as Slurm or Kubernetes
- Experience building and operationalizing machine learning models
Benefits For Field Solution Architect II, AI Infrastructure
- bonus
- equity
- benefits
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