обновлено 8 часов назад
AI Lead Software Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Lead Software Engineer (AI and cloud data platforms): Designing and productionizing AI-driven solutions across large-scale cloud data platforms, including LLM workflows, document search, vector search, and semantic retrieval, with an accent on scalable architecture, data governance, and hands-on engineering. Focus on dynamic SQL generation, metadata and data catalog layers, reliable AI data pipelines, and advising engineering leadership on technology direction.
Location: Seattle, Washington; Atlanta, Georgia; San Francisco, California; or Sandy, Utah, United States
Company
develops AI, cloud, and digital software used by global businesses for customer experience, financial crime prevention, and public safety.
What you will do
- Design and implement AI-driven data solutions across Snowflake, Databricks, BigQuery, or equivalent cloud data platforms.
- Prototype and productionize LLM-based systems for dynamic SQL generation, intelligent data access, document search, and semantic retrieval.
- Build and maintain vector search capabilities using OpenSearch or similar technologies.
- Develop metadata and data catalog layers that support LLM reasoning and data discoverability.
- Build reliable, performant, and well-governed data pipelines for AI workloads.
- Advise engineering leadership on technology selection and strategic direction while mentoring engineers and collaborating with global teams.
Requirements
- 8–12 years of experience in software engineering or data engineering, including recent hands-on work with AI systems.
- Expertise with large-scale cloud data platforms such as Snowflake, Databricks, or BigQuery.
- Hands-on experience building LLM-driven workflows for dynamic SQL generation or intelligent data access.
- Proficiency in Python and/or Java for AI pipeline development.
- Experience with vector search, OpenSearch or similar technologies, and document or semantic retrieval.
- Familiarity with data cataloging or metadata systems such as custom YAML schemas, Atlan, or DataHub, plus strong production troubleshooting and debugging skills.
hirify.global-to-have"> to have
- Experience preparing data for AI through a semantic layer.
- Experience advising engineering leadership on technology trade-offs and strategic direction.
- Experience designing enterprise-grade AI and data solutions.
- Ability to drive execution independently across distributed teams.
Culture & Benefits
- Collaborate with global engineering teams across a company operating in more than 30 countries.
- Work in an environment focused on AI, cloud, digital innovation, and high-scale software delivery.
- Operate with high ownership, critical thinking, curiosity, execution, and a collaborative mindset.
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