20 часов назад
Lead Data Engineer (GCP AI Architect)
144 890 - 190 117$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead Data Engineer (GCP AI Architect) (GCP/AI/ML): Designing enterprise-scale AI, Generative AI, machine learning, and data analytics solutions on Google Cloud Platform with an accent on RAG, LLM applications, MLOps, and modern data architecture. Focus on building secure and scalable Vertex AI platforms, automated model lifecycle pipelines, responsible AI governance, and multi-region cloud architectures.
Location: Hybrid role based in Chicago, Illinois, United States
Salary: $144,890–$190,117 base compensation annually
Company
is a global business and technology transformation partner delivering strategy, design, engineering, AI, cloud, data, and sustainability solutions.
What you will do
- Design end-to-end AI, Generative AI, machine learning, and data analytics architectures on Google Cloud Platform.
- Architect RAG, Agentic AI, LLM-based applications, prompt engineering, fine-tuning, grounding, and vector search solutions.
- Design scalable cloud-native architectures using Vertex AI, BigQuery, Cloud Storage, Cloud Run, GKE, Dataflow, Pub/Sub, and Cloud Functions.
- Establish enterprise MLOps and LLMOps frameworks, including model deployment, monitoring, governance, CI/CD, and lifecycle management.
- Develop modern data architectures with data lakes, lakehouses, feature engineering, data quality, governance, lineage, and metadata management.
- Define security, compliance, and responsible AI frameworks covering fairness, transparency, explainability, bias detection, and risk mitigation.
Requirements
- 8+ years of experience in cloud architecture, software engineering, or data platforms.
- 3+ years of experience designing AI/ML solutions on GCP.
- Experience leading enterprise-scale cloud transformation programs.
- Experience architecting Generative AI and LLM-based applications.
- Knowledge of machine learning lifecycle management, NLP, computer vision, Generative AI, LLMs, Vertex AI Model Garden, prompt engineering, foundation model fine-tuning, vector databases, embeddings, RAG, AI agents, and multi-agent systems.
- Preferred certifications include Google Cloud Professional Cloud Architect, Professional Machine Learning Engineer, and Professional Data Engineer.
Culture & Benefits
- Full-time employees receive a comprehensive benefits package.
- Paid time off includes vacation, company holidays, personal days, and sick leave.
- Medical, dental, and vision coverage is available in the United States.
- Benefits include retirement savings plans such as 401(k), life and disability insurance, and employee assistance programs.
- promotes an inclusive and collaborative workplace.
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