Practice Customer Engineer, Applied AI, Google Public Sector

About the role

When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.

Responsibilities

• Accelerate Google Cloud’s success by providing technical expertise in Conversational Artificial Intelligence and customer experience.
• Bridge the gap between business issues and highly technical Generative AI solutions.
• Partner with Sales teams on high-stakes engagements as a subject matter expert to differentiate Google Cloud, and lead the design of advanced Conversational AI frameworks to design resilient and scalable AI solutions.
• Help customers design innovative architectures and solve customer experience issues using first-party Generative AI solutions.
• Blend sales expertise, market knowledge, and technical engagement to prove the value of the Google Cloud portfolio.

Requirements

• Bachelor's degree or equivalent practical experience.
• 10 years of experience with designing cloud-native enterprise-grade technical architecture in customer-facing or support roles.
• Experience with Conversational AI technologies, including designing conversational flows/agents and operating Speech-to-Text, Text-to-Speech (STT/TTS).
• Experience building or leveraging AI solutions, ML APIs, prompting, agent tooling, eval frameworks, and modern AI frameworks, and embedding into demos.
• Ability to obtain a Secret security clearance.

Qualifications

• Experience with building conversational applications and integrating it with third-party tooling (e.g., CRM, ticketing, telephony platforms).
• Familiarity with large language models (LLMs), retrieval-augmented generation (RAG), machine learning templates, and document/image AI.
• Understanding of modern development methodologies and application performance tuning.

Skills

• Excellent organizational, communication, and presentation skills.
• Engaging with customers to understand their business and technical requirements.
• Persuasively present practical and useful solutions on Google Cloud.

Benefits

• Health, dental, vision, life, disability insurance.
• Retirement Benefits: 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 (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance.
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks.
• Baby Bonding Leave: 18 weeks.
• Holidays: 13 paid days per year.

Pay

$152,000 - $222,000 (USD) + 42.86% bonus target + equity + benefits

Schedule

Full-time