Senior CCaaS Applied AI Solutions Consultant

Google LLC

Kirkland, Sunnyvale (WA, CA)

Hybrid

USD 152,000 - 221,000

Full time

3 days ago

Be an early applicant

Get a reply from this employer

Your resume and cover letter, tailored to exactly what they’re hiring for.

Get past ATS filters

Benefits offered by this job

Health, dental, vision, life, and long

Retirement: 401(k) with company match

Paid time off: 20 days/year

Job summary

Google Cloud is seeking a Senior Technical Solutions Consultant, CCaaS, Applied AI, to drive customer experience transformations across the lifecycle—from pre-sales architecture to post-sales integration. You will architect, integrate, and deploy agentic AI and virtual agents within CCaaS environments, focusing on enterprise telephony and CPaaS integrations.

You will lead technical discovery, build rapid prototypes, and guide carrier onboarding and production cutovers, partnering with Sales,

Qualifications

Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
5 years of solution developing experience and 3 years in stakeholder management, professional services, or technical consulting.
Experience with IP telephony, VoIP protocols (SIP, RTP, WebRTC), PSTN, Session Border Controllers (SBCs), and CPaaS platforms.
Experience designing, building, and deploying conversational voice and chat solutions (voicebots, IVR, virtual agents).
Experience writing code in Python for prototyping, API integration, and automation.

Responsibilities

Lead pre-sales technical engagements, architectural discovery, solution design, and technical feasibility evaluations for enterprise CCaaS and telephony integrations.
Build rapid prototypes and proof-of-concepts (POCs) to pilot private preview agentic AI and voice capabilities with strategic customers and early-access partners.
Own post-sales technical deployment and integration, including SIP trunking, SBC configuration, carrier onboarding, and end-to-end telephony routing.
Deliver technical presentations, whiteboard sessions, solution demonstrations, and technical responses for RFIs and RFPs highlighting Google Cloud Applied AI and CCaaS value propositions.
Collaborate closely with Product Management and Engineering to identify telephony and platform gaps, advocate for feature improvements, and co-design fixes based on field learnings.