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Senior, Full Stack AI Engineer

Job in Irvine, Orange County, California, 92713, USA
Listing for: WD
Full Time position
Listed on 2026-03-01
Job specializations:
  • Software Development
    AI Engineer, Cloud Engineer - Software, Software Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Senior AI Engineer

At Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible.

At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we’ve been doing just that—our technology helped people put a man on the moon and capture the first‑ever picture of a black hole.

We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital®, WD®, ™. We are a key partner to some of the largest and highest‑growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world’s biggest companies and hyperscale cloud providers, to meeting the massive and ever‑growing data storage needs of the AI era, Western Digital is fueling a brighter, smarter future.

Today’s exceptional challenges require your unique skills. Together, we can build the future of data storage.

Role Overview

The Senior AI Engineer will be responsible for designing and deploying comprehensive AI workflows to transform sales, marketing, and e-commerce processes. This position demands advanced expertise in Python‑driven AI orchestration, as well as robust frontend and backend development skills using frameworks like CrewAI, Lang Chain, Lang Graph, React

JS, and Go or Rust. Experience with REST API development for system integration is required. Familiarity with Amazon Bedrock for prompt engineering and AI decision‑making is essential.

Responsibilities
  • AI Workflow Orchestration: Proficiency with Lang Graph, Lang Chain, or AWS Bedrock Agent Core for building complex, multi‑step AI agents capable of automating tasks such as lead scoring, customer segmentation, and personalized e‑commerce experiences.
  • Prompt Engineering & MLOps: Managing the prompt lifecycle using tools such as Prompt Layer and Lang Smith, with the ability to design rigorous evaluation frameworks for assessing model performance and safety.
  • High‑Performance Engineering: Develop internal tools and client‑facing applications utilizing frameworks like React

    JS, Go, or Rust to deliver high‑performance frontend and backend solutions.
  • System Integration: Implement reliable API integrations among Salesforce (CRM), Marketo (Marketing), and data warehouses including Azure and Oracle Exadata.
  • Marketing/Sales Automation: Comprehensive knowledge of Salesforce and Marketo API ecosystems to enable automation of personalized leads and e‑commerce conversion activities.
  • Data Pipeline Development: Construct scalable data pipelines for ingesting, processing, and delivering real‑time insights from Oracle Exadata into AI models.
  • Application Development: Build robust, high‑availability applications that enhance both internal sales operations and external customer engagement.
Qualifications
  • Software Engineering:
    Progressive experience in software engineering with an emphasis on full‑stack development and AI systems integration.
  • Python Expertise:
    Extensive proficiency in Python for end‑to‑end AI solution development, including LLM orchestration via Lang Chain and Lang Graph.
  • API Development:
    Skilled in developing APIs using Python or other industry‑standard frameworks.
  • Frontend/Backend Development:
    Strong background in React

    JS, with advanced expertise in either Go or Rust for developing low‑latency components.
  • Platform Knowledge:
    Hands‑on experience working with Salesforce and Marketo.
  • Data Management:
    Solid foundation in SQL and data management within Oracle Exadata and Azure environments.
Skills
  • Experience with agent development tools such as Agentforce or Copilot Studio.
  • Familiarity with e‑commerce platforms and automated campaign management systems.
  • AWS Certified Machine Learning – Specialty.
Additional Information

Western Digital is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including…

Position Requirements
10+ Years work experience
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