Customer Engineer, Applied AI

AI Chopping Block, Inc.; Greater London; Hybrid; GBP 110,000 - 140,000; Full time

Job summary

Google Cloud is seeking a Customer Engineer, Applied AI, to be the technical authority helping our enterprise customers design, validate, and scale AI agents on Google Cloud. You will lead technical strategy across Applied AI agents, architect solution blueprints, and partner with C-level stakeholders to accelerate the customer journey from discovery to production-ready deployment.

Joining Google Cloud means working with frontier Gemini models and the Vertex AI platform, leveraging deep Google

Qualifications

• 10+ years in a customer-facing technical role or software engineering with cloud-native architectures
• Experience building and deploying Generative AI or Enterprise Search solutions
• Proven ability to present architectures to enterprise stakeholders and lead technical discussions

Responsibilities

• Design end-to-end architectures for enterprise workloads on Google Cloud
• Guide customers in defining reasoning loops, tool/API execution, and retrieval
• Architect compliant solutions with security, data residency, and AI safety boundaries
• Define blueprints and accelerators for broader adoption and handoff to partner teams

Skills

Customer-facing tech experience

Architectural design

Technical leadership

REST APIs

Python or backend language

Education

Bachelor's degree in Computer Science or related field

Tools

Google Cloud

OpenAPI

Terraform

Distributed tracing

Job description

As a Customer Engineer, Applied AI, you are the technical authority and trusted advisor helping our most strategic enterprise customers design, validate, and scale next-generation AI agents on Google Cloud. You sit at the intersection of deep engineering and go-to-market strategy—translating transformative AI capabilities (such as multimodal foundation models, multi-agent reasoning, and advanced retrieval) into concrete, high-ROI business solutions.

In this role, you will lead technical strategy across Applied AI agents, such as customer-facing experiences (including Google Enterprise Customer Experience/GECX, agentic shopping and product discovery, intelligent conversational agents, and omnichannel journeys). You will architect solution blueprints, build high-impact reference prototypes, manage enterprise security and latency requirements, and partner with C-level stakeholders (CTOs, CISOs, CAIOs) to accelerate the customer journey from initial discovery to production-ready enterprise deployment.

It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

Spain: €124000 - €127000 (EUR) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

• Design end-to-end architectures for enterprise workloads—spanning front-office customer journeys (GECX, omnichannel voice/chat), agentic commerce/shopping, back-office automation, multi-agent systems, and intelligent enterprise/product search.
• Guide customers in defining reasoning loops, tool/API execution, dynamic SOP retrieval, and advanced RAG; build functional prototypes validating critical Customer User Journeys (CUJs), search/discovery flows, and multimodal extraction.
• Architect compliant solutions adhering to VPC-SC, IAM, CMEK, data residency, and AI safety boundaries, integrating Google Cloud AI with existing CRMs, CCaaS/telephony platforms, e-commerce backends, and ERPs.
• Define technical blueprints ensuring seamless transitions to FDE, PSO, and partner teams; relay field feedback to Product Engineering and create reusable solution accelerators, whitepapers, and playbooks.

Minimum qualifications:

• Bachelor's degree in Computer Science, Mathematics, related technical field, or equivalent practical experience.
• 10 years of experience in a customer-facing technical role (e.g., Customer Engineering, Solutions Architecture, Technical Consulting) or software engineering role working with cloud-native architectures.
• 2 years of experience building, prototyping, or deploying Generative AI, Conversational AI, or Enterprise Search/Information Retrieval solutions using modern AI APIs, models, or developer frameworks.
• Experience writing and debugging code in Python or a modern backend language, including experience working with REST APIs, asynchronous operations, and OpenAPI specifications.
• Experience presenting architectures to, and managing technical discussions with enterprise technical stakeholders (e.g., Enterprise Architects, Engineering Leads).

Preferred qualifications:

• Experience developing autonomous agents using frameworks like Google ADK, LangGraph, and Semantic Kernel.
• Expertise in enterprise RAG optimization, hybrid vector retrieval, semantic search, ranking engines, and Vertex AI Search.
• Skilled in building agentic shopping workflows integrated with product catalogs, dynamic pricing, and order management backends.
• Knowledge of tool execution patterns, MCP, OpenAPI schemas, and connecting agents to CRMs, ERPs, and e-commerce APIs.
• Versed in cloud security perimeters (IAM, VPC, CMEK), Terraform infrastructure, distributed tracing, and hallucination evaluation.