Senior Technical Solutions Consultant, CCaaS, Applied AI

Senior Technical Solutions Consultant, CCaaS, Applied AI

share

Share Senior Technical Solutions Consultant, CCaaS, Applied AI

• linkCopy link
• emailEmail a friend

corporate_fareGoogleplaceKirkland, WA, USA; Sunnyvale, CA, USA; +2 more; +1 morelaptop_windowsRemote eligible

bar_chartMid

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Apply

share

Share Senior Technical Solutions Consultant, CCaaS, Applied AI

• linkCopy link
• emailEmail a friend

info_outline

XIn accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

• 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

Note: By applying to this position you will have an opportunity to share your preferred working location from the following:

In-office locations: Kirkland, WA, USA; Sunnyvale, CA, USA.

Remote location(s): Tennessee, USA.

Minimum qualifications:

• Bachelors degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.

• 5 years of experience in solution developing and 3 years of experience 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.

Preferred qualifications:

• Masters degree in Engineering, Computer Science, or related technical fields.

• Google Cloud Certified (Professional Cloud Architect or Professional Data/ML Engineer).

• Experience architecting and deploying major enterprise CCaaS platforms (e.g., Google Cloud Customer Engagement Suite, Genesys, Cisco, Avaya, NICE, Five9, or Twilio).

• Experience working with modern LLMs, prompt engineering, and agentic AI architectures applied to customer support or contact center workflows.

• Experience managing technical relationships and delivery across System Integrators (SIs) and telecom carriers.

• Strong network troubleshooting skills (Wireshark/packet capture analysis, QoS, firewall traversal, SIP ladder inspection).

About the job

Cloud Applied AI (AAI) powers business growth with Gemini Enterprise. Our portfolio includes Gemini Enterprise for Customer Experience, along with other vertical and domain packaged solutions. We enable high adoption and speed to value by building solutions that are quickly deployed, delivering new 0-to-1 capabilities with startup agility. Team members operate at the forefront of AI, collaborating directly with model builders with unprecedented speed.

As an Applied AI Technical Solutions Consultant specializing in CCaaS, you will drive customer experience transformations across the entire customer lifecycle-spanning pre-sales architecture, prototyping, post-sales deployment, and ongoing technical support. You will architect, integrate, and deploy next-generation agentic AI and virtual agent solutions powered by Gemini for Customer Experience, with a focus on enterprise telephony and contact center integrations.

In this role, you will be the technical authority for telephony integration (SIP, RTP, carrier connectivity, and CPaaS) across complex CCaaS environments. In pre-sales, you will partner with Sales and Customer Engineering to lead technical discovery, build rapid proof-of-concepts, and design viable architectures. In post-sales, you will own technical delivery, guide carrier and telephony onboarding, lead cutovers to production, and provide escalation support and stabilization. You will also maintain a tight feedback loop with Applied AI Product and Engineering teams, turning field challenges into product enhancements, while co-developing solutions with strategic System Integrators (SIs), ISVs, and partners.

Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $152000 - $221000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

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.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Googles Applicant and Candidate Privacy Policy.

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 Googles EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.