Forward Deployed Engineer II, GenAI, Google Cloud

SupportFinity™; San Francisco (CA); On-site; USD 153,000 - 222,000; Full time

Benefits offered by this job

Health, dental, vision, life, disability insurance

401(k) with company match

20 days of vacation per year

40 hours paid sick time per year

Maternity Leave (28-30 weeks)

13 holidays paid per year

Job summary

SupportFinity™ is seeking a GenAI Forward Deployed Engineer to bridge frontier AI products and production-grade solutions for customers. You will lead the development of AI applications and architect connective layers between Google’s products and client infrastructures.

The ideal candidate will have a Bachelor's degree in a relevant field and 6 years of experience building AI solutions. Key benefits include health insurance, a 401(k) match, and generous paid time off.

Qualifications

• 6 years of experience in building production-grade AI solutions.
• Experience in leading technical discovery sessions.
• Knowledge of scalable AI systems on cloud platforms.

Responsibilities

• Lead development of AI applications to drive measurable ROI.
• Architect and code layers between AI products and customer infrastructure.
• Build performance evaluation pipelines for agentic systems.

Skills

Python

Typescript

Engineering

AI-driven solutions

Education

Bachelor’s degree in Engineering, Computer Science, or related field

Master’s degree or PhD in AI, Computer Science, or related field

Job description

Job Summary

A GenAI Forward Deployed Engineer at Google Cloud bridging frontier AI products and production-grade solutions for customers.

Job Information

Full-time
Posted March 15

Base salary range: $153,000-$222,000 + bonus + equity + benefits. Salary determined by role, level, location, skills, experience, and education.

Preferred work locations: San Francisco, CA; Boulder, CO; Cambridge, MA; Mountain View, CA; New York, NY; Reston, VA; Seattle, WA; Sunnyvale, CA; Los Angeles, CA; Washington DC; Austin, TX; Chicago, IL; San Diego, CA.

Responsibilities

• Lead development of AI applications, transitioning from prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable ROI.
• Architect and code connective layers between Google’s AI products and customers’ live infrastructure, including APIs, legacy data silos and security perimeters.
• Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet rigorous accuracy, safety and latency requirements.
• Identify repeatable field patterns and technical friction points in Google’s AI stack, converting them into reusable modules or product feature requests for engineering teams.
• Drive engineering excellence by mentoring talent, co‑building with customer teams and influencing cross‑functional strategies to elevate organizational technical capabilities.

Minimum Qualifications

• Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
• 6 years of experience building and shipping production-grade AI-driven solutions to external or internal customers using Python, Typescript or comparable languages.
• Experience leading technical discovery sessions with business stakeholders and engineering teams to define AI and hardware infrastructure requirements.
• Experience architecting scalable AI systems on cloud platforms such as Google Cloud Platform (GCP).
• Experience building pipelines for structured and unstructured data, incorporating vector databases and retrieval-augmented generation architectures to power enterprise-grade AI solutions.

Preferred Qualifications

• Master’s degree or PhD in AI, Computer Science or a related technical field.
• Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI or Google’s ADK) and patterns like ReAct, self-reflection and hierarchical delegation.
• Knowledge of LLM-native metrics (tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.

Benefits

• Health, dental, vision, life, disability insurance.
• 401(k) with company match.
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment.
• Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary).
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks.
• Baby Bonding Leave: 18 weeks.
• Holidays: 13 paid days per year.

EEO Statement

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. For accommodations, please complete the Accommodations for Applicants form.