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Описание вакансии
Текст:
TL;DR
Senior Solution Engineer (AI): Owning the technical relationship for a strategic global healthcare account and designing Snowflake solutions for clinical, operational, and research data with an accent on healthcare data architecture, interoperability, compliance, and AI/ML use cases. Focus on leading technical evaluations and proof-of-concept engagements, building executive presentations, translating HIPAA/GDPR/HL7/FHIR requirements, and coordinating adoption across internal teams.
Location: London, United Kingdom; hybrid
Company
Snowflake provides a cloud data platform and is expanding AI-native solutions for enterprise customers.
What you will do
- Own the end-to-end technical relationship for one strategic global healthcare account, from discovery and qualification through proof of concept, technical close, and expansion.
- Build and deliver demonstrations, solution architectures, and executive presentations tied to clinical, operational, and research data priorities.
- Design and lead proof-of-concept engagements involving clinical interoperability, population health analytics, claims processing, real-world evidence, and AI/ML for diagnostics and care optimisation.
- Translate healthcare regulatory and technical requirements, including HIPAA, GDPR, and HL7/FHIR, into production-ready Snowflake solutions.
- Partner with the Account Executive and Snowflake leadership while coordinating Product, Professional Services, Support, and Engineering to remove blockers and accelerate adoption.
- Mentor junior Solution Engineers and raise the technical standard of the global accounts practice.
Requirements
- 8+ years of experience in pre-sales solution engineering, technical consulting, or data engineering in enterprise B2B technology.
- Significant experience with healthcare or life sciences customers and healthcare data use cases such as HL7/FHIR interoperability, claims analytics, population health, real-world evidence, and AI/ML for diagnostics or care optimisation.
- Hands-on expertise with cloud data platforms and the ability to architect and demonstrate enterprise-grade solutions live.
- Proficiency in SQL, Python, and healthcare data engineering tools such as dbt, Spark, or equivalent.
- Strong executive communication skills with the ability to engage CDOs, CTOs, CMIOs, and CIOs.
- Experience leading complex technical evaluations, winning competitive proofs of concept, and building strategic enterprise relationships.
Nice to have
- Hands-on experience with Snowflake, Cortex AI, data sharing, Snowpark, and Native Apps.
- Familiarity with HL7, FHIR, OMOP, HIPAA, and GDPR.
- Experience with real-time clinical and operational data pipelines, data governance, de-identification, or privacy-preserving analytics.
- Experience in a dedicated named-account or strategic-account Solution Engineering role.
Culture & Benefits
- AI-native, experimental approach to work and problem-solving.
- High-visibility role with global scope and direct exposure to Snowflake leadership.
- Opportunity to work across clinical, operational, and research functions within a strategic healthcare account.
- Fast-growing environment focused on innovation and challenging conventional thinking.
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