Назад
2 дня назад

Senior Solution Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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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