Senior Forward Deployed Engineer, GenAI, YouTube

Senior Forward Deployed Engineer, GenAI, YouTube GTM Operations Location: San Bruno, CA; Chicago, IL; Mountain View, CA; New York, NY; Los Angeles, CA. The role may also be located at our Playa Vista, CA campus. Qualifications Bachelor’s degree in Computer Science, Electrical Engineering, Mathematics or a related quantitative field, or equivalent practical experience in software development. 6 years of experience in full‑stack software development and system design. Experience with back‑end languages (e.g., Java, Python, Go or C++) and building applied AI solutions/agentic workflows around pre‑trained models. Experience working with database technologies (e.g., SQL, NoSQL), distributed systems, and designing back‑end data pipelines. Preferred Qualifications 2 years of experience as a Technical Lead or Engineering Manager, including zero‑to‑one delivery and scoping in ambiguous environments. 2 years of experience with Site Reliability Engineering, Information Security, or DevOps practices, with practical enterprise AI experience (LLM evals, observability, safety). Experience building advanced GenAI (multi‑step LLM, multi‑agent systems, or multi‑component pipelines integrated with orchestration frameworks). Experience with AI data infrastructure: vector databases, embedding generation, search architectures, and state‑management challenges. Experience integrating tools with enterprise business systems and CRMs. Knowledge of GTM/sales workflows. Responsibilities Build and iterate on GenAI proof‑of‑concepts (Large Language Models, Retrieval‑Augmented Generation, Agentic Frameworks) to demonstrate feasibility and translate business problems into software. Lead delivery of complex, production‑grade AI solutions (e.g., multi‑agent systems, model context protocol servers) from rapid prototypes to maximize business Return on Investment. Partner with Product Managers and stakeholders to co‑create tool roadmaps that enable YouTube’s business operations. Author technical designs, write clean code, build intuitive frontends, define metrics, and execute deployment. Build high‑performance evaluation pipelines and observability frameworks to ensure agentic systems meet accuracy, safety, and latency requirements. Resolve technical hurdles preventing AI maturity, including data readiness gaps, system integration complexities, edge cases, and state‑management challenges. Compensation US: $155,000 – $225,000 (USD) + 15% bonus target + equity + benefits. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. #J-18808-Ljbffr Google Inc.