Senior Business System Architect, AI and ML at NVIDIA
Santa Clara, CA 95050, USA -
Full Time


Start Date

Immediate

Expiry Date

08 Aug, 25

Salary

0.0

Posted On

12 May, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

We are looking for a highly motivated Engineering AI/ML Business Systems Architect, to join the BSA Team within IT, where you will work closely with the internal Business Systems Architects, Business and IT teams on Engineering & Manufacturing projects.

WHAT WE NEED TO SEE:

  • Bachelor’s Degree in Information Technology, Computer Science, new technologies, or equivalent experience
  • Proven 8+ years of experience as a motivator in building and improving enterprise-class systems through the entire Software Development Lifecycle (SDLC)
  • Minimum 5+ years of experience delivering AI/ML frameworks
  • Experience with some or all of the following technologies to build analysis and drive insights from data (MS SQL, Python, R, Tableau, Excel, Azure AWS)
  • Agile software development experience tools such as Jira, Confluence
  • Logical problem solver, results-oriented, and with excellent project management, communication, and analytical skills.
  • Independent and motivated individual who requires little supervision and demonstrates good judgment and decision-making skills.
  • Strong written and verbal communication and conscientious listening skills and ability to lead teams and influence others
  • Continuous Capability improvement implementations experience
Responsibilities
  • Collaborate with Business users to transform the business requirements into system-based solutions passionate about the Enterprise Engineering platforms
  • Identifies challenges, opportunities, and gaps in the business processes and helps build technology strategy and roadmap to address them
  • Design, develop, deploy, and maintain AI and ML algorithm pipelines and workflows for our Manufacturing systems.
  • Analyze, improve, and maintain Client-Server architecture, SAAS solutions, etc.
  • Collaborate with developers, quality assurance, operations, and business teams in multi-functional projects from requirements definition and testing to project planning and implementation.
  • Work cross-department, cross-project, and across the globe to collect requirements, build project plans, get approval, and complete delivery of Engineering solutions using good communication and partnership techniques.
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