Senior Technical Solutions Consultant, CCaaS, Applied AI

On-site in London·Added today (last checked 30 Oct)

Google

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Our summary

Work mode: On-site, London
Experience: 5+ years

Skills

Nice to have

Requirements

What we're looking for

Bachelor's 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.

Nice to have

Master's 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).

Pay & benefits

What you'll get

Ireland: €114000 - €116000 (EUR) + 15% bonus target + equity + benefits

The role

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

As an Applied AI Technical Solutions Consultant specializing in Contact Center as a Service (CCaaS), you will drive customer experience transformations across the entire customer life-cycle, 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 feedback loop with Applied AI Product and Engineering teams, turning field challenges into product enhancements, while co-developing solutions with strategic System Integrators (SIs), Independent Software Vendor (ISVs), and partners.

What you'll do

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.
Manage 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 Request for Information (RFIs) and Request for Proposal (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.

How you'll work

Learn more about benefits at Google. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: London, UK; Dublin, Ireland.

Hiring process

4 steps3 interviewsa task to do6–8 weeks in all

Apply online
Assessments
Online test · Not every role
You may be asked to take the Google Hiring Assessment (workstyle skills) and, for some roles, role-related assessments such as a coding exercise.
Recruiter conversations
With a recruiter · Phone call · 1–2 sessions
One or two shorter conversations assessing key skills, sharing information about the organisation and team, and asking about your preferences such as location.
Project work
In your own time · Not every role
For some roles, a small project before interviews: a case study, writing or code samples.
Interviews
With a rotating cast of Googlers
A panel of structured interviews, over video or in person, with a rotating cast of Googlers; open-ended role-related questions scored against the same rubric for every candidate, no brainteasers.
Decision and offer · With a recruiter

Structured interviews: every candidate for a role is scored against the same rubric; no brainteasers.
AI tools are not permitted during interviews.
For some roles, pre-selected interviews happen virtually before final interviews onsite.

About Google

Industry: Technology
Founded: 1998
Employees: 100,000+
Headquarters: Mountain View, USA

In their own words

About the company & team

Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's 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.

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