Nordic AI Customer Engineer – Cloud AI Strategy

Google

Stockholms kommun

On-site

SEK 1,260,000 - 1,300,000

Full time

14 days+

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Benefits offered by this job

Equity grants

Job summary

Google Cloud seeks an AI/ML Customer Engineer Specialist in Sweden to lead strategic AI deployments for Nordic enterprises. You will engage CXOs, design advanced AI architectures, and deliver production-ready proofs-of-concept with robust handovers to FDEs.

You will collaborate with sales to discover high-impact workloads, build state-of-the-art AI solutions, and drive measurable business outcomes while maintaining executive-level communication and technical excellence.

Qualifications

Bachelor's degree or equivalent practical experience.
10 years of experience with cloud native architecture in a customer-facing or support role.
Experience in architecting solutions that integrate AI models using agents with enterprise data sources using patterns like Retrieval-Augmented Generation (RAG), Text-to-SQL, and semantic search.
Experience with search systems including retrieval, ranking, and search quality tuning.
Experience coding in Python, JavaScript or TypeScript, Go, or Java to demo, prototype, or workshop integration patterns with customers.
Experience presenting to technical stakeholders and executive leaders.

Responsibilities

Initiate strategic conversations with customer CXOs, VPs, and technical decision-makers to identify complex AI workloads. Deliver workshops and rapid-prototyping sessions that influence leaders to change their technology roadmaps in favor of Google Cloud AI.
Design, document, and execute an AI strategic technical plan for your focus accounts, guiding them through advanced AI maturity stages and successfully moving net-new use cases toward production.
Build, code, and deploy functional, customer-tailored proofs-of-concept (POCs) and minimum viable products (MVPs). Maintain a Level 400 technical capability in agentic frameworks, enterprise architectures, and developer tools.
Act as the technical bridge between the customer and Google's engineering resources. Refine initial requirements, prepare technical environments, and execute high-fidelity, documented handovers to Forward-Deployed Engineers (FDEs) for production deployment.
Serve as "Customer Zero" by adopting newly released AI technology early (EAP, Public Previews). Identify, prioritize, and document customer feature requests, blockages, and platform gaps, maintaining a tight feedback loop with Google AI Product Management and Engineering to help shape the global AI roadmap.