Customer Engineer, Applied AI
Technology, Data & Digital · Data, AI & Analytics · Artificial Intelligence · Data Engineering · Software Engineering
In short
As a Customer Engineer, Applied AI on Google Cloud, you will be the technical authority for enterprise customers, designing and scaling next-generation AI agents. You will translate AI capabilities into high-ROI business solutions, lead technical strategy, architect robust blueprints, and build prototypes, working with C-level stakeholders to accelerate customer journeys.
Responsibilities
- Design end-to-end architectures for enterprise workloads spanning front-office customer journeys, 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.
- Integrate 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.
Requirements
- 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 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 engaging with, presenting architectures to, and leading technical discussions with enterprise technical stakeholders (e.g., Enterprise Architects, Engineering Leads).
Desired 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.
- Deep 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.
- Skilled in building agentic shopping workflows integrated with product catalogs, dynamic pricing, and order management backends.
Benefits
- 20% bonus target
- Equity
- Benefits
Skills
PythonREST APIsOpenAPIGenerative AIConversational AIEnterprise SearchVertex AIRAGIAMVPCCMEKTerraform
#AI#Customer Engineer#Applied AI#Google Cloud#Generative AI#Conversational AI#Enterprise Search#Cloud Native#Solutions Architecture#Technical Consulting
About Google
Innovative Full-Stack Developer | Building Scalable Solutions with Node.js & React
At Google, our mission is to organize the world's information and make it universally accessible and useful. From Search to AI, we develop products and services that improve the lives of billions, empowering individuals and businesses globally. We're driven by a passion for innovation, a commitment to solving complex problems, and a belief in the transformative power of technology. Since our founding in 1998, we've remained dedicated to creating a more helpful and connected world.
Company
GoogleJob Posted
10 hours ago
Employment Type
Full Time
Work mode
Hybrid
Salary
SEK 1,360,000–1,390,000 / year
Experience Level
Senior
Locations
London, United Kingdom
Stockholm, Sweden
Qualification
Bachelor
Applicants
Be an early applicant
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