Senior Data & AI Engineer at Quadrant Technologies Senior Data & AI Engineer at Quadrant Technologies in Redmond, Washington Posted in 1 day ago.

Type:

full-time Job Description

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Senior Data & AI Engineer Duration:

Long term contract

Location:

1 Resource

•Dallas, TX | 1 Resource

•Redmond, WA (Onsite)

Note:

Visa independent candidates only . Position Overview We are looking for two experienced Data & AI Engineers with strong expertise in data engineering, AI/ML, GCP Cloud, and retail . The ideal candidates will have hands-on experience designing and implementing data and AI solutions in retail environments, with the ability to work closely with business and technical teams to deliver solutions within a short-term engagement. Key Responsibilities Design and develop data and AI solutions leveraging Google Cloud Platform (GCP) . Build and optimize scalable data pipelines, data platforms, and analytics solutions . Develop and integrate AI/ML and GenAI solutions into business and retail use cases. Work with large-scale retail datasets to identify insights and support business decision-making. Collaborate with data scientists, engineers, architects, and business stakeholders to translate requirements into technical solutions. Develop solutions using cloud-native GCP services and modern data engineering technologies. Ensure data quality, security, governance, scalability, and performance across data and AI workloads. Contribute to architecture, technical design, development, testing, and deployment. Understand retail business processes, customer behavior, merchandising, inventory, supply chain, or related retail data domains. Required Skills Strong Data Engineering and AI/ML experience Hands-on experience with Google Cloud Platform (GCP) Strong knowledge of data pipelines, ETL/ELT, data warehousing, and data modeling Experience with AI/ML and/or Generative AI solutions Strong Python and SQL skills Experience with GCP data services such as BigQuery, Dataflow, Dataproc, Cloud Storage, Pub/Sub, Vertex AI , or similar Experience working with large-scale datasets Strong understanding of cloud architecture and distributed data systems Retail domain experience is highly preferred Excellent communication and stakeholder management skills Preferred Qualifications Experience with Vertex AI, LLMs, RAG, or GenAI applications Experience with modern data platforms and lakehouse architectures Knowledge of data governance, security, and privacy Experience with retail domains such as merchandising, inventory, supply chain, e-commerce, pricing, customer analytics, or demand forecasting Experience working in fast-paced consulting or enterprise environments