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Sr. Delivery Consultant, Smart Manufacturing , Advisory

Job in Palo Alto, Santa Clara County, California, 94306, USA
Listing for: Amazon Web Services (AWS)
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    Systems Engineer, Data Engineer, AI Engineer, Cloud Computing
Salary/Wage Range or Industry Benchmark: 150000 - 200000 USD Yearly USD 150000.00 200000.00 YEAR
Job Description & How to Apply Below

Sr. Delivery Consultant, Smart Manufacturing , Advisory

The Amazon Web Services Professional Services (Pro Serve) team is seeking an experienced Advisory Cloud Architect to drive transformation initiatives in semiconductor manufacturing and foundry operations. This role will focus on designing and implementing advanced cloud solutions incorporating industrial data fabric, smart manufacturing, generative AI, and computer vision technologies. You’ll work closely with stakeholders as trusted advisors providing guidance on industry trends, enterprise cloud transformation, and innovative cloud solutions.

You will be responsible sales support, ensuring alignment to customer business outcomes and value realization.

Key job responsibilities
  • Design and architect comprehensive cloud solutions that integrate edge-to-cloud data fabric for semiconductor manufacturing environments
  • Lead technical pre-sales engagements and solution development for digital twin implementations, industrial edge solutions, and manufacturing data insights platforms
  • Develop reference architectures for AI/ML workflows in manufacturing, particularly focusing on computer vision for defect detection and classification
  • Create technical solutions that integrate operational technology (OT) and information technology (IT) systems across fab environments
  • Guide customers in implementing smart manufacturing solutions leveraging AWS services for predictive maintenance, yield optimization, and quality control
  • Design solutions for real-time data processing and analytics at the edge using AWS Outpost and related services
Basic Qualifications
  • 5+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience
  • Experience leading large enterprise transformations with AWS/cloud services
  • 7+ years of experience in cloud architecture with demonstrated focus on manufacturing or industrial environments
  • Extensive experience designing and implementing industrial data fabric solutions for operational technology (OT) and information technology (IT) integration
  • Proven experience with digital twin technologies and their practical application in production environments
  • Expert-level knowledge of AWS services including IoT Core, Green grass, Sage Maker, and related edge computing platforms
  • Experience architecting solutions that process and analyze real-time data from industrial systems
Preferred Qualifications
  • Background in semiconductor fabrication operations, including familiarity with fab equipment, clean room protocols, and manufacturing execution systems
  • 3+ years working with industrial automation systems such as PLCs, SCADA, or DCS platforms
  • Experience integrating Manufacturing Execution Systems (MES) with Enterprise Resource Planning (ERP) platforms
  • Knowledge of CHIPS Act requirements and compliance frameworks for semiconductor manufacturing
  • Familiarity with Industry 4.0 concepts including predictive maintenance, yield optimization, and quality control systems

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants:
Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position.

These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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