AI Infrastructure Architect

2 weeks ago


Mumbai, Maharashtra, India Jio Full time
body{font-family:Arial,sans-serif;font-size:14px;}h1{font-family:Arial,sans-serif;font-size:24px;font-weight:normal;}h2{font-family:Arial,sans-serif;font-size:18px;font-weight:normal;}h3{font-family:Arial,sans-serif;font-size:14px;font-weight:normal;}ol{list-style-type:decimal;}ul{list-style-type:square;}li{font-family:Arial,sans-serif;font-size:14px;}AI Infrastructure Architect Job Description

Jio is looking for an experienced AI Infrastructure Architect to join our team.

Job Summary:

We are seeking a highly skilled AI Infrastructure Architect to design and implement scalable, available, fault-tolerant, and reliable AI infrastructure solutions for our organization.

Key Responsibilities:
  1. Design and implement AI infrastructure solutions using private, public, and hybrid cloud platforms.
  2. Collaborate with cross-functional teams to identify and prioritize business requirements and develop solutions to meet those needs.
  3. Develop and maintain technical documentation, including architecture diagrams, system design documents, and implementation guides.
  4. Participate in solution strategy discussions, requirement understanding, and providing relevant technical input.
  5. Conduct proof-of-concepts, requirement documentation, and sign-off.
  6. Plan and design scalable, available, fault-tolerant, and reliable AI infrastructure solutions.
  7. Develop and implement cost-control strategies.
Requirements:
  • 10-15 years of experience in DC Infrastructure engineering.
  • At least 2-4 years of experience designing and deploying GPU-based AI farm infrastructure.
  • B.E/B.Tech from a reputable institute.
  • NVIDIA certifications on GPU farm design.
  • CCIE (R&S/DC).
  • Arista Certifications.
  • Load balancers like Radware, F5, Citrix NetScaler.
  • Firewalls like Cisco FTD, Palo Alto, FortiGate.
  • Microsoft Azure Architect Design AZ301.
Competencies:
  • Ability to lead.
  • Good communication skills.
  • Self-driven.
  • Prior experience handling large engagements.
  • Excellent cross-functional management skills.


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