Senior Technologist, Agentic AI Delivery at Western Digital

San Jose, California, United States -

Full Time

Start Date

Immediate

Expiry Date

17 Aug, 26

Salary

276700.0

Posted On

19 May, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Autonomous AI Agents, LLMs, Generative AI, Vector Databases, Prompt Engineering, Distributed Systems, Microservices, Cloud Infrastructure, MLOps, AI Security, Executive Communication, Stakeholder Management, Strategic Planning, RLHF, LLM Fine-tuning, AI Regulatory Frameworks

Industry

Computer Hardware Manufacturing

Description

Company Description At WD, 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, WD 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®, and WD_BLACK™. 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, WD is fueling a brighter, smarter future. Today’s exceptional challenges require your unique skills. Together, we can build the future of data storage. Job Description Role Overview We are seeking a visionary Engineering Director to lead delivery of next-generation Agentic AI initiatives. You will oversee multiple autonomous AI agent systems that interact with complex enterprise workflows, external APIs, and real-time data. Your role is to translate cutting-edge AI research into reliable, scalable, and secure production systems, while providing strategic clarity to executive leadership. Essential Duties & Responsibilities Strategic Leadership & Execution Define and execute the technical strategy for multi-agent AI systems. Own delivery roadmaps for high-priority agentic AI use cases. Communicate progress, risks, and metrics to the C-suite. Allocate engineering resources across competing projects. Technical Delivery & Architecture Transition agentic prototypes to production with robust guardrails and fail-safes. Establish standards for reliability, observability, and scalability. Optimize AI infrastructure for cost, latency, and performance. Ensure compliance with data privacy and security standards. Team & Culture Build and mentor high-performing teams of engineers and AI researchers. Collaborate with Product, Data Science, and Security teams to define capabilities and constraints. Foster a culture of innovation while maintaining production reliability. Qualifications Required: Technical Expertise Hands-on experience designing and deploying autonomous AI agents. Deep knowledge of LLMs, GenAI, vector databases, embeddings, and prompt engineering. Strong background in distributed systems, microservices, and cloud infrastructure (AWS/GCP/Azure). Experience with MLOps, observability, and AI security mitigation. Leadership & Soft Skills Strong executive communication and stakeholder management. Proven crisis management experience with autonomous systems. Strategic thinking to align technical execution with business goals. Preferred: 0-8+ years in software engineering with 0-4+ years in leadership. Experience launching enterprise or consumer AI products. Background in RLHF or domain-specific LLM fine-tuning. Familiarity with AI regulatory frameworks (e.g., EU AI Act, NIST AI RMF). Success Metrics (KPIs) Timely delivery of agentic AI use cases. Reduced failure rates and hallucinations in production. Measurable business impact from deployed agents. High leadership satisfaction with transparency and predictability. Why Join Us? Lead high-impact AI automation initiatives. Direct C-suite visibility and influence on AI strategy. Access to cutting-edge compute resources and a culture of experimentation. Opportunity to build a world-class team and set industry standards for agentic AI delivery. Salary Ranges: 207,500.00-276,700.00 Additional Information WD 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 pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person’s gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person’s assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the "Know Your Rights: Workplace Discrimination is Illegal” poster. Our pay transparency policy is available here. WD 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. WD 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 [email protected] 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. Based on our experience, we anticipate that the application deadline will be 6/27/26, although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application deadline. #LI-BN1 Compensation & Benefits Details An employee’s pay position within the salary range may be based on several factors including but not limited to (1) relevant education; qualifications; certifications; and experience; (2) skills, ability, knowledge of the job; (3) performance, contribution and results; (4) geographic location; (5) shift; (6) internal and external equity; and (7) business and organizational needs. The salary range is what we believe to be the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range and this range is only applicable for jobs to be performed in California, Colorado, New York or remote jobs that can be performed in California, Colorado and New York. This range may be modified in the future. If your position is non-exempt, you are eligible for overtime pay pursuant to company policy and applicable laws. You may also be eligible for shift differential pay, depending on the shift to which you are assigned. You will be eligible to be considered for bonuses under either WD’s Short Term Incentive Plan (“STI Plan”) or the Sales Incentive Plan (“SIP”) which provides incentive awards based on Company and individual performance, depending on your role and your performance. You may be eligible to participate in our annual Long-Term Incentive (LTI) program, which consists of restricted stock units (RSUs) or cash equivalents, pursuant to the terms of the LTI plan. Please note that not all roles are eligible to participate in the LTI program, and not all roles are eligible for equity under the LTI plan. RSU awards are also available to eligible new hires, subject to WD's Standard Terms and Conditions for Restricted Stock Unit Awards. We offer a comprehensive package of benefits including paid vacation time; paid sick leave; medical/dental/vision insurance; life, accident and disability insurance; tax-advantaged flexible spending and health savings accounts; employee assistance program; other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity; tuition reimbursement; transit; the Applause Program; employee stock purchase plan; and the WD Savings 401(k) Plan. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law. Notice To Candidates: Please be aware that WD 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 WD Ethics Helpline or email [email protected]. Job Type (exemption status): Exempt position - Please see related compensation & benefits details below Salary Range: 207,500.00-276,700.00 Business Function: Applications Engineering Work Location: San Jose Great Oaks Headquarters--LOC_WDT_USCA23

Responsibilities

Lead the delivery of next-generation Agentic AI initiatives by overseeing autonomous AI agent systems and translating research into scalable production systems. Define technical strategies, manage delivery roadmaps, and provide strategic clarity to executive leadership.