Principal Full-Stack Architect for AI, Data & Cloud

Western Digital Corp.; California (MO); On-site; USD 190,000 - 250,000; Full time

Job summary

Western Digital Corp. seeks a Principal Full Stack Developer and Solutions Architect to design and build AI, data analytics, and cloud solutions for Product Development. This hands‑on principal role owns architecture, writes code, and shapes interfaces used by engineers.

You will partner with product teams, deliver from prototype to production, and define patterns and gates to ensure quality and security across AI, data and cloud layers.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Physics or a related field; advanced degree a plus.
• 8+ years of professional software engineering experience, including production ownership of systems you designed.
• Demonstrated solution architecture experience spanning more than one domain — application, data, cloud, or AI.
• Strong Python and SQL; proficiency in a modern front‑end stack (React/TypeScript) or rapid UI frameworks (Streamlit, Gradio) sufficient to ship a usable internal tool independently.
• Demonstrated experience building LLM‑based applications with orchestration frameworks (LangGraph, Langflow, or equivalent), including tool/function calling and MCP‑based integrations, and practical experience with RAG architectures.
• Hands‑on experience with data engineering and analytics tooling — pipeline orchestration (Airflow, dbt, or equivalent), warehouse or lakehouse platforms, and BI or visualization tools.
• Solid AWS experience, including containerized workloads (Kubernetes/EKS), infrastructure‑as‑code, and cost‑aware architecture.
• Working knowledge of evaluation methodology for non‑deterministic systems, with a track record of measuring quality rather than asserting it.
• Excellent written and verbal communication; able to present technical direction to director and VP audiences.
• Ability to work on‑site in San Jose, CA, with regular embedded time alongside engineering teams.

Responsibilities

• Own end‑to‑end solution architecture for Product Development use cases spanning AI/ML, data analytics, and cloud — from data source through to the engineer’s interface.
• Establish reference architectures, design patterns, and technology standards, and select the tools the organization will standardize on.
• Make build-vs-buy decisions and defend them to IT and business leadership.
• Ensure solutions align with enterprise security and data governance requirements by design.
• Provide design review and technical mentorship to the AI/Data Engineer and Platform/DevOps Engineer on the team.
• Ability and proven track record managing software developers.
• Design agent systems for engineering workflows: tool use, orchestration, multi‑agent boundaries, and human‑in‑the‑loop controls.
• Define evaluation methodology and quality gates — golden sets, regression suites, LLM‑as‑judge — so that no solution reaches an engineer’s desk unvalidated.
• Set model routing and guardrail policy through the enterprise LLM gateway.
• Determine where AI is the right answer and where a deterministic pipeline, analytics solution, or existing automation is the better engineering decision.
• Architect the data and retrieval layer that AI and analytics solutions depend on: ingestion, modeling, semantic layers, and access patterns across engineering and test data.
• Select and integrate data analytics and BI tooling, and enable self‑service analytics for engineering teams rather than one‑off reporting.
• Design pipelines and data products that land on Enterprise Data foundations rather than duplicating them.
• Ensure data quality, lineage, and permission propagation so that downstream AI and analytics outputs are trustworthy.
• Architect solutions for AWS and containerized runtimes, balancing performance, reliability, and cost.
• Define deployment, infrastructure‑as‑code, and CI/CD patterns in partnership with the Platform/DevOps Engineer.
• Engineer for latency, inference cost, and cloud spend as first‑class design constraints.
• Build on Engineering Cloud and AI CoE platform foundations rather than constructing parallel stacks.
• Build applications end‑to‑end: backend services, orchestration logic, APIs, data access, and the user‑facing surface.
• Own the user experience — how work is initiated, how progress is made visible, and how output is reviewed and corrected by the engineer.
• Decide embedded‑versus‑standalone delivery across Slack, Teams, IDE, BI, and web surfaces, and ship working pilot interfaces without waiting on a front‑end team.
• Define the interaction patterns that ITES‑US Engineering & Web Apps productionizes for scaled deployment.
• Partner directly with Product Development engineers to identify, scope, and co‑develop solutions; work on‑site alongside engineering teams on a regular cadence.
• Translate Product Development leadership priorities into a sequenced solution roadmap with measurable outcomes.
• Run skill‑transfer sessions so that PD engineers can extend and maintain what is built.

Skills

Python

SQL

React/TypeScript

Streamlit

Gradio

LLM‑based apps

Airflow

dbt

BI/Visualization tools

AWS

Kubernetes/EKS

IaC

communication

Education

Bachelor’s degree in Computer Science, Engineering, Physics or related field

Advanced degree a plus

Tools

AWS

Kubernetes/EKS

CI/CD

GitHub/Jira/Confluence

Job description

Western Digital Corp. seeks a Principal Full Stack Developer and Solutions Architect to design and build AI, data analytics, and cloud solutions for Product Development. This hands‑on principal role owns architecture, writes code, and shapes interfaces used by engineers.

You will partner with product teams, deliver from prototype to production, and define patterns and gates to ensure quality and security across AI, data and cloud layers.