Director, Infrastructure Developer - Ai Platforms

Prudential

Newark, NJ, United States
Base: $171,500.00 - $257,300.00; bonus/equity: yea...
Hybrid
Ai platform architecture
Infrastructure automation
Devops and devsecops practices
Drive the architectural direction, technical strategy, and delivery of enterprise-grade infrastructure and platform capabilities that support the next generation of intelligent, autonomous AI systems

Job Summary

  • Drive the architectural direction, technical strategy, and delivery of enterprise-grade infrastructure and platform capabilities that support the next generation of intelligent, autonomous AI systems.
  • Define and shape the overall technical architecture for the enterprise infrastructure and AI Platform, ensuring alignment with security, performance, reliability, and operational efficiency standards.
  • The salary range for this role is from $171,500.00 to $257,300.00, with market competitive base salaries, yearly bonus potential, and a comprehensive benefits package.

Matching Summary

Drive the architectural direction, technical strategy, and delivery of enterprise-grade infrastructure and platform capabilities that support the next generation of intelligent, autonomous AI systems.

Salary

Base: $171,500.00 - $257,300.00; Bonus/Equity: yearly bonus potential; Benefits: Medical, dental, vision, life insurance, disability insurance, PTO, 401(k) plan with company match, pension plan, wellness programs, work/life resources, education benefit, Employee Stock Purchase Plan

Skills & Requirements

Must-have

  • AI Platform architecture
  • Infrastructure automation
  • DevOps and DevSecOps practices
  • Containerization and orchestration
  • Cloud platforms (AWS, Azure, GCP)
  • Python and/or NodeJS programming
  • Infrastructure as Code tools

Nice-to-have

  • Agile ways of working
  • Inclusive leadership mindset
  • Continuous learning focus
  • Enterprise, cloud-native environments
  • Regulated environments

Key Requirements

  • Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
  • Significant years of software engineering experience
  • 5+ years in a technical leadership role
  • Expertise in distributed systems, infrastructure platforms, and large-scale technical architecture
  • Familiarity with AI/ML platforms, agentic frameworks, or LLM-based systems
  • Experience with AI/ML infrastructure, GPU environments, inference-grade cloud services, or data-intensive platforms

Work Rights

Not specified

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