Field Solutions Developer III, Generative AI, Google Cloud
Location: Schiller Park
Posted on: June 23, 2025
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Job Description:
Minimum qualifications: Bachelors 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). 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: Masters degree in
Computer Science, Engineering, or a related technical field.
Experience designing and deploying with one or more from the
following 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 ability to
design and explain data pipelines, ML pipelines, and ML training
and serving approaches. About the job As a Generative AI Field
Solutions Developer, you will play a pivotal role in supporting our
Google Cloud business organization. Your primary responsibility
will be to construct rapid prototype Generative AI applications
tailored to Google Cloud customers, catering to a diverse clientele
ranging from early stage startups to prominent Fortune 500
companies. You will leverage the Generative AI 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 have close collaboration with our product
team to eliminate obstacles and shape the future trajectory of our
offerings. Google Cloud accelerates organizations’ ability to
digitally transform their business with the best infrastructure,
platform, industry solutions and expertise. We deliver
enterprise-grade solutions that leverage Google’s cutting-edge
technology – all on the cleanest cloud in the industry. 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. 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. Responsibilities Be a trusted advisor
to our customers by understanding the customer’s business process
and objectives. Design AI-drive, spanning Data, AI, and
Infrastructure, and work with peers to include the full cloud stack
into overall architecture. Demonstrate how Google Cloud is
differentiated by working with customers on POCs, demonstrating
features, tuning models, optimizing model performance, profiling,
and benchmarking. Troubleshoot and find solutions to issues
training/serving models in a large-scale environment. Build
repeatable technical assets such as scripts, templates, reference
architectures, etc. to enable other 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
activities. Travel as needed.
Keywords: , Buffalo Grove , Field Solutions Developer III, Generative AI, Google Cloud, IT / Software / Systems , Schiller Park, Illinois
