Principal Engineer, Data Analytics Engineering
4 weeks ago
Company Description The future It s on you You Western Digital We ve been storing the world s data for more than 50 years Once it was the most important thing we could do for data Now we re helping the world capture preserve access and transform data in a way only we can The most game-changing companies consumers professionals and governments come to us for the technologies and solutions they need to capture preserve access and transform their data But we can t do it alone Today s exceptional data challenges require your exceptional skills It s You Us Together we re the next big thing in data Western Digital data-centric solutions are found under the G-Technology TM HGST SanDisk Tegile TM Upthere TM and WD brands Position Principal AI Engineer Data Engineering GenAI We are seeking a Principal AI Engineer with deep expertise in data engineering Generative AI GenAI and AWS cloud platforms to architect and lead scalable AI-driven solutions that address complex business and technology challenges Key Responsibilities AI Platform Architecture Design and implement scalable AI ML and GenAI solutions on AWS using modern data engineering frameworks and best practices Data Engineering Leadership Drive the development of robust data pipelines ETL ELT frameworks and data models that support AI ML and analytics use cases at scale Generative AI Solutions Lead the exploration prototyping and deployment of GenAI applications LLM-based copilots RAG pipelines autonomous agents across enterprise scenarios Technology Strategy Evaluate and adopt emerging technologies to strengthen AI and data engineering efficiency and capabilities Cloud Infrastructure Define and implement cloud-native architectures using AWS services S3 Glue Redshift EMR Lambda SageMaker Bedrock EKS Collaboration Influence Partner with data scientists product managers and business stakeholders to translate business needs into scalable technical solutions Best Practices Governance Establish coding standards DevOps MLOps practices and enforce data governance and security controls for AI workloads Mentorship Leadership Guide and mentor engineers and data professionals fostering innovation technical excellence and best practices Qualifications Basic Qualifications Bachelor s or Master s degree in Computer Science Data Engineering AI ML or related field 9 years of experience in data engineering AI ML systems and cloud computing Proven expertise with AWS cloud ecosystem S3 Glue Redshift EMR Lambda SageMaker Bedrock and Databricks Hands-on experience with Generative AI models LLMs diffusion models frameworks LangChain Hugging Face OpenAI Anthropic APIs and RAG implementations Strong programming skills in Python SQL and at least one compiled language Java Scala or Go Experience with modern data engineering tools and pipelines Airflow Spark Kafka dbt Snowflake Excellent problem-solving skills with experience in architecture design and stakeholder communication Preferred Qualifications Experience with vector and graph databases e g Pinecone Weaviate pgvector Neo4j Working knowledge of MCP Model Context Protocol for orchestrating and managing AI agent workflows Familiarity with containerization and orchestration Docker Kubernetes EKS Knowledge of MLOps LLMOps practices and CI CD pipelines for AI workloads e g MLflow Kubeflow LangSmith Strong understanding of data security compliance and governance in cloud and AI systems Additional Information Because Western Digital thrives on the power of diversity and is committed to an inclusive environment where every individual can thrive through a sense of belonging respect and contribution we are committed to giving every qualified applicant and employee an equal opportunity Western Digital does not discriminate against any applicant or employee based on their protected class status and complies with all federal and state laws against discrimination harassment and retaliation as well as the laws and regulations set forth in the Equal Employment Opportunity is the Law poster Western Digital thrives on the power and potential of diversity As a global company we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within We believe the fusion of various perspectives results in the best outcomes for our employees our company our customers and the world around us We are committed to an inclusive environment where every individual can thrive through a sense of belonging respect and contribution Western Digital is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process Please contact us at to advise us of your accommodation request In your email please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying Notice To Candidates Please be aware that Western Digital and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment Should you encounter any such requests please report it immediately to or email
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