Principal Engineer, Data Analytics Engineering

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

• Bachelors or Masters 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 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.

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