Senior AI Solutions Engineer – Forward-Deployed Cloud

Google; San Francisco (CA); On-site; USD 233,000 - 324,000; Full time

Benefits offered by this job

Health insurance

Dental & Vision

401(k) with company match

Paid Time Off: 20 days/yr

Sick time 40 hours/yr

Maternity Leave: 28-30 weeks

Holidays: 13 days/yr

Job summary

Google Cloud seeks an AI Outcome Customer Engineer to bridge pre-sales and post-sales, shaping adoption-focused delivery for strategic AI accounts. You will architect integration into customer IT ecosystems and collaborate with FDE to ensure viable, scalable deployments.

You’ll interact with DeepMind and Vertex AI teams, translating technical challenges into business impact while guiding delivery across complex enterprise environments.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 10 years of cloud native architecture in a customer-facing or support role.
• Experience interfacing with product or engineering teams.
• Experience in system design or reading code (Java/C++/Python).
• Experience with enterprise integrations and cloud infrastructure.

Responsibilities

• Partner with Account teams and CE: assess feasibility and shape proposals.
• Lead upfront technical design for enterprise AI solutions and integrations.
• Diagnose and resolve complex customer implementation issues.
• Serve as liaison to Product/Engineering; translate field feedback into requests.
• Steer implementation strategy with architectural foresight and delivery ownership.

Skills

Cloud native architecture

Java/C++/Python

System design

APIs/ECMs/Identity

Enterprise integrations

Interfacing with product/engineering

Education

Bachelor’s degree

Tools

LangGraph

AutoGen

CrewAI

Job description

Google Cloud seeks an AI Outcome Customer Engineer to bridge pre-sales and post-sales, shaping adoption-focused delivery for strategic AI accounts. You will architect integration into customer IT ecosystems and collaborate with FDE to ensure viable, scalable deployments.

You’ll interact with DeepMind and Vertex AI teams, translating technical challenges into business impact while guiding delivery across complex enterprise environments.