7 дней назад
Director, AI Solutions Engineering Lead
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Director, AI Solutions Engineering Lead (AI, Data Engineering): Leading the technical direction of a portfolio of AI-powered products for international commercial teams, from proof of concept through enterprise-grade production, with an accent on architecture, engineering standards, and production reliability. Focus on designing reference implementations, solving complex cross-initiative technical problems, building generative and agentic AI solutions, and guiding blended engineering teams through influence.
Location: Thessaloniki, Chortiatis, Greece; hybrid work arrangement. Flexible working hours are required to collaborate with international stakeholders across Latin America, Europe, and Asia. Occasional travel may be expected.
Company
is a global pharmaceutical company transforming commercial operations through data, AI, and digital solutions to improve patient health outcomes.
What you will do
- Own the technical direction of multiple AI initiatives spanning POC, MVP, and enterprise-grade production stages.
- Make portfolio-level architecture decisions and resolve cross-initiative dependencies, conflicts, and technical debt priorities.
- Shape 12–18-month technical strategy, including build-versus-buy assessments, vendor and platform evaluations, and feasibility input.
- Lead architecture spikes and reference implementations while addressing the most complex technical problems and reviewing pull requests.
- Establish engineering standards, testing discipline, release readiness, production reliability, security, and compliance practices across blended teams.
- Mentor engineers and technical leads, influence senior stakeholders, and manage budgets for contractors, vendors, tooling, and engineering industrialization.
Requirements
- Bachelor’s degree in computer science, data science, computer engineering, information systems, or a related discipline, plus 10+ years of hands-on AI, data, or software solution engineering experience.
- Demonstrated technical leadership across multiple concurrent products, including production systems and blended internal and external teams.
- Deep expertise in at least one core discipline, with broad knowledge of data products, AI products, generative and agentic AI, and full-stack applications.
- Strong hands-on capability with Python, SQL, cloud analytics ecosystems such as AWS and Snowflake, modern AI tooling, CI/CD, and MLOps/LLMOps.
- Ability to lead through influence, make complex technical decisions independently, mentor engineers and technical leads, and communicate with technical and non-technical audiences.
- Strong written and verbal English communication skills required.
Nice to have
- Advanced degree in a relevant discipline.
- Experience building generative and agentic AI solutions and contributing to product strategy or roadmap definition.
- Pharmaceutical or life sciences commercial knowledge, data literacy, and awareness of applicable regulatory and legal considerations.
Culture & Benefits
- Flexible workplace culture supporting work-life harmony.
- Patient-centric environment guided by courage, joy, equity, and excellence.
- Opportunity to contribute to company-wide digital transformation and AI adoption.
- Inclusive workplace with reasonable adjustments available during the application and interview process.
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