Google · 10 hours ago
Customer Engineer, Cloud AI, Financial Services
Chicago, IL, USA
Full-time
Onsite
Mid Level
$102K/yr - $146K/yr
4+ years expGoogle is a leading technology company that specializes in cloud computing. They are seeking a Customer Engineer specializing in Cloud AI for Financial Services to facilitate customer adoption of Google Cloud products, solve AI-centered issues, and collaborate with technical sales teams.
AppsArtificial Intelligence (AI)Cloud StorageSearch EngineSEO
Responsibilities
Drive the technical win for workloads within Cloud AI to ensure rapid and successful adoption, primarily supporting the sales cycle from technical evaluation through customer ramp
Combine sales strategies and development and prototyping to provide functional, customer-tailored solutions that secure buy-in from customer domain experts
Provide technical consultation to customers, acting as a technical advisor and building lasting customer relationships
Leverage learnings from customer engagements to contribute to reusable solutions and assets with the Go-To-Market team
Work within Product and Engineering management systems to document, prioritize and drive resolution of customer feature requests and issues
Qualification
Required
Bachelor's degree or equivalent practical experience
4 years of experience with cloud native architecture in industry or a customer-facing or support role
Experience engaging with, and presenting to, technical stakeholders and executive leaders
Experience with machine learning, model development and deployment
Experience with AI agent orchestration frameworks (e.g., LangGraph, CrewAI, AutoGen), agentic design patterns (e.g., tool-use, multi-agent collaboration), and integrating models into autonomous workflows via advanced API prompting and RAG
Experience leveraging programming or technical proficiencies to demo, prototype, or workshop with customers
Preferred
Master's degree in Computer Science, Engineering, Mathematics, a related technical field, or equivalent practical experience
Experience in building machine learning solutions and leveraging specific machine learning architectures (e.g., deep learning, long short-term memory (LSTM), convolutional networks)
Experience in architecting and developing software or infrastructure for scalable, distributed systems
Experience with frameworks for deep learning (e.g., PyTorch, Tensorflow etc.), AI accelerators (e.g., TPUs), model architectures (e.g., encoders, decoders), or using machine learning APIs
Experience working within financial services industry
Ability to learn quickly, understand, and work with new emerging technologies, methodologies, and solutions in the cloud/IT technology space
Benefits
Bonus
Equity
Benefits
Company
Google specializes in internet-related services and products, including search, advertising, and software. It is a sub-organization of Alphabet.
10001+ employees
H1B Sponsorship
Google has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (8763)
2024 (8872)
2023 (9682)
2022 (11626)
2021 (9109)
2020 (9785)
Funding
Current Stage
Public CompanyTotal Funding
$26.1MKey Investors
Kleiner Perkins,Sequoia CapitalAndy Bechtolsheim
2004-08-19IPO
1999-06-07Series Unknown· $25M
1998-11-01Angel· $1M
Leadership Team
Sundar Pichai
CEO
Thomas Kurian
CEO - Google Cloud
Recent News
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