7 дней назад
Sr Manager, AI Solutions Tech Lead (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Sr Manager, AI Solutions Tech Lead (AI): Building and scaling AI-powered data products, generative and agentic AI solutions, and full-stack applications for international commercial teams with an accent on technical leadership, engineering standards, and quality across the POC-to-enterprise lifecycle. Focus on orchestrating blended teams, analyzing complex integrations and dependencies, and designing reliable systems with Python, SQL, cloud platforms, testing, and MLOps/LLMOps practices.
Location: Greece, Thessaloniki Chortiatis; hybrid work assignment. Flexible working hours are required to collaborate with 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 designed to improve patient health outcomes.
What you will do
- Lead the delivery of AI products across blended teams of 10+ internal engineers and external contractors while contributing through pull request reviews and feature development.
- Set, document, and enforce engineering standards, development practices, testing discipline, and release readiness.
- Drive technical decisions through trade-off analysis, proposals, and recommendations for engineering teams, product owners, and leadership.
- Analyze integrations, system dependencies, technical debt, and cross-solution designs, prioritizing improvements through resolution.
- Guide implementation across data products, AI data products, generative and agentic AI solutions, and full-stack applications from POC to MVP and enterprise production.
- Coordinate vendor and contractor delivery while collaborating with product, data science, engineering, security, and digital teams.
Requirements
- Bachelor’s degree in computer science, data science, computer engineering, information systems, or a related discipline, plus 7+ years of hands-on AI, data, or software engineering experience.
- Technical leadership experience coordinating teams of 10+ members, including internal and contractor contributors.
- Deep expertise in at least one of data engineering, data science and ML engineering, AI engineering, or backend/full-stack development, with working knowledge of the others.
- Fluency in Python, proficiency in SQL, and experience building, deploying, and testing complex software systems.
- Experience with cloud analytics ecosystems such as AWS or Snowflake, modern data tooling such as Airflow and dbt, cloud infrastructure, backend engineering, CI/CD, and testing.
- Strong English communication skills, written and verbal, are required. Agile experience and the ability to influence contributors outside direct reporting lines are also required.
Nice to have
- Advanced degree in a relevant discipline.
- Experience building generative and agentic AI solutions and using MLOps/LLMOps practices and tooling.
- Front-end development experience, with emphasis remaining on backend engineering.
- Pharmaceutical or life science commercial knowledge, data literacy, and awareness of applicable regulatory and legal considerations.
Culture & Benefits
- Work in a patient-centric organization guided by courage, joy, equity, and excellence.
- Flexible workplace culture supporting work-life harmony.
- Hybrid work arrangement in Thessaloniki, Greece.
- Opportunity to contribute to company-wide digital transformation using data, modeling, automation, and AI.
- Commitment to diversity, inclusion, equal employment opportunity, and reasonable disability accommodations.
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