Director, Infrastructure Developer - AI Platforms

Prudential Financial • Newark, NJ

19h • Hybrid

About The Position

Are you interested in building capabilities that enable the organization with innovation, speed, agility, scalability and efficiency? The Global Technology team takes great pride in our culture where digital transformation is built into our DNA! When you join our organization at Prudential, you’ll unlock an exciting and impactful career – all while growing your skills and advancing your profession at one of the world’s leading financial services institutions. Your Team & Role As a Director, Infrastructure Developer on the AI Platform Team you will 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. You will partner with product owners, architects, engineering leaders, and delivery professionals to improve AI Platforms, designing and scaling foundational components that enable teams to securely, reliably, and efficiently build, deploy, and operate AI‑driven solutions. In this role, you will combine deep technical expertise with strong leadership to define platform and infrastructure architecture, establish engineering standards, and deliver high‑impact capabilities. You will bring excellent problem‑solving, communication, and collaboration skills, along with agile ways of working, strong business insight, an inclusive leadership mindset, and a continuous learning focus. This role is based in our office in Newark, NJ. Our organization follows a hybrid work structure where employees can work remotely and from the office, as needed, based on demands of specific tasks or personal work preferences. This position is hybrid and requires your on-site presence on a reoccurring weekly basis at least 3 days per week. Here is What You Can Expect on a Typical Day Define and shape the overall technical architecture for the enterprise infrastructure and AI Platform, ensuring alignment with security, performance, reliability, and operational efficiency standards Translate strategic objectives into scalable, achievable engineering plans and architectural frameworks Establish, govern, and evolve technical standards, design patterns, and best practices for building infrastructure and AI Platform capabilities Drive the design and delivery of core platform and infrastructure services that support AI agent development, orchestration, governance, and operational management Create, code, and support solutions to automate the creation, management, and lifecycle of infrastructure and platform services; remove complex technical impediments Build reusable frameworks, APIs, patterns, and tooling that accelerate internal adoption and improve developer experience through self‑service capabilities Apply best practices for infrastructure and platform consumption, providing easily consumable services to engineering teams Collaborate with product owners to understand needs and define feature stories, and with tech leads and engineers to define technical designs and deliver robust end‑to‑end solutions Ensure platform and infrastructure services are scalable, secure, compliant, and aligned with enterprise‑wide architectural principles Drive platform reliability, operational maturity, cost efficiency, and resiliency through strong engineering and architectural practices Embed observability, diagnostics, performance monitoring, and automation throughout the platform ecosystem Engage in hands‑on design and engineering where needed to guide teams, shape technical direction, and unblock delivery Lead design reviews, architecture walkthroughs, and technical assessments to ensure high‑quality outcomes Mentor and develop engineers and technical leaders, fostering a culture of technical excellence, collaboration, and continuous learning Work on significant and complex problems where analysis of situations or data may impact future platform capabilities, products, or technologies Apply infrastructure and platform fundamentals across cloud environments, Linux/Unix operating systems, networking, APIs, and distributed systems

Requirements

• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
• Significant years of software engineering experience, including 5+ years in a technical leadership role
• Expertise in distributed systems, infrastructure platforms, and large‑scale technical architecture
• Exceptional programming experience using Python and/or nodeJS, Shell/Power scripting, or modern programming languages
• Expertise and hands‑on expertise with cloud platforms such as AWS, Azure, or GCP. AWS Agent Core Preferred
• Strong understanding of infrastructure automation, DevOps, DevSecOps, and operational best practices
• Strong experience with containerization and orchestration technologies including Docker and Kubernetes
• 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.
• Proficiency with Infrastructure as Code tools such as Terraform, CloudFormation, Pulumi, ARM, and Helm
• Experience building and supporting CI/CD pipelines, automation frameworks, and observability tooling
• Experience establishing technical standards, architectural patterns, and governance models
• Strong communication, collaboration, and leadership skills with the ability to influence technical and non‑technical stakeholders
• Experience working in enterprise, cloud‑native, and/or regulated environments is a plus
• Ability to lead independently with minimal guidance while effectively leveraging diverse perspectives

Responsibilities

• Define and shape the overall technical architecture for the enterprise infrastructure and AI Platform, ensuring alignment with security, performance, reliability, and operational efficiency standards
• Translate strategic objectives into scalable, achievable engineering plans and architectural frameworks
• Establish, govern, and evolve technical standards, design patterns, and best practices for building infrastructure and AI Platform capabilities
• Drive the design and delivery of core platform and infrastructure services that support AI agent development, orchestration, governance, and operational management
• Create, code, and support solutions to automate the creation, management, and lifecycle of infrastructure and platform services; remove complex technical impediments
• Build reusable frameworks, APIs, patterns, and tooling that accelerate internal adoption and improve developer experience through self‑service capabilities
• Apply best practices for infrastructure and platform consumption, providing easily consumable services to engineering teams
• Collaborate with product owners to understand needs and define feature stories, and with tech leads and engineers to define technical designs and deliver robust end‑to‑end solutions
• Ensure platform and infrastructure services are scalable, secure, compliant, and aligned with enterprise‑wide architectural principles
• Drive platform reliability, operational maturity, cost efficiency, and resiliency through strong engineering and architectural practices
• Embed observability, diagnostics, performance monitoring, and automation throughout the platform ecosystem
• Engage in hands‑on design and engineering where needed to guide teams, shape technical direction, and unblock delivery
• Lead design reviews, architecture walkthroughs, and technical assessments to ensure high‑quality outcomes
• Mentor and develop engineers and technical leaders, fostering a culture of technical excellence, collaboration, and continuous learning
• Work on significant and complex problems where analysis of situations or data may impact future platform capabilities, products, or technologies
• Apply infrastructure and platform fundamentals across cloud environments, Linux/Unix operating systems, networking, APIs, and distributed systems

Benefits

• Market competitive base salaries, with a yearly bonus potential at every level.
• Medical, dental, vision, life insurance, disability insurance, Paid Time Off (PTO), and leave of absences, such as parental and military leave.
• 401(k) plan with company match (up to 4%).
• Company-funded pension plan.
• Wellness Programs including up to $1,600 a year for reimbursement of items purchased to support personal wellbeing needs.
• Work/Life Resources to help support topics such as parenting, housing, senior care, finances, pets, legal matters, education, emotional and mental health, and career development.
• Education Benefit to help finance traditional college enrollment toward obtaining an approved degree and many accredited certificate programs.
• Employee Stock Purchase Plan: Shares can be purchased at 85% of the lower of two prices (Beginning or End of the purchase period), after one year of service.

What This Job Offers

• Job Type: Full-time
• Career Level: Director