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Prudential plc · 1 day ago

Director, Tech Lead - AI Engineer

Newark, NJ

Full-time

Onsite

Mid, Senior Level

$172K/yr - $257K/yr

5+ years exp

Prudential is seeking a Senior Level candidate to lead the adoption and enablement of Claude Code and AI-powered development tools. This role involves managing a team of engineers to leverage AI technology, enhance developer productivity, and drive organizational change through innovative tooling and best practices.

Asset ManagementConsultingFinancial ServicesHealth CareInsurance

Responsibilities

Demonstrate leadership experience managing teams focused on developer tooling, automation, and AI-powered development platforms

Effectively lead a team responsible for architecting, building, maintaining, and supporting Claude Code plugins, skills, sub-agents, and custom commands

Manage a highly technical Agile Delivery Team focused on AI tooling and developer experience

Strong experience with AI development tools, prompt engineering, and LLM integration patterns

Deliver end-to-end solutions using innovative approaches to integrate AI capabilities into the SDLC

Design and implement custom Claude Code extensions including:

MCP (Model Context Protocol) servers and integrations

Custom skills for specialized workflows

Sub-agents for autonomous task completion

Slash commands for streamlined developer workflows

Work with internal and external stakeholders to continuously improve upon AI tooling capabilities and develop technology roadmaps

Create and deliver compelling presentations to leadership and stakeholders on Claude Code adoption metrics, ROI, and strategic initiatives

Run regular office hours to support developers and answer questions about Claude Code capabilities

Develop comprehensive training materials including documentation, tutorials, video content, and hands-on workshops

Evangelize AI best practices and trends in the SDLC space including AI-assisted development, prompt engineering, autonomous agents, and workflow automation

Build a community of practice around AI-powered development tools within Prudential

Stay current with the latest AI trends, tools, and best practices in software development

Evaluate emerging AI technologies and their potential application to Prudential's development workflows

Assess and evaluate MCP servers and integrations for security, reliability, and enterprise fit

Identify opportunities to leverage AI for improving code quality, security, testing, and deployment processes

Drive continuous innovation in how development teams leverage AI capabilities

Establish security and compliance guidelines for AI tool usage

Define standards for prompt engineering, agent development, and integration patterns

Implement metrics and monitoring to track adoption, usage patterns, and productivity gains

Work with InfoSec and compliance teams to ensure AI tool usage meets enterprise requirements

Qualification

AI development toolsClaude CodeProgramming languagesAgile Delivery methodologiesTechnical training contentMCP serversDevOpsCI/CDLearning agilityProblem-solving skillsCommunication skillsPresentation skillsTeam leadership

Required

At least 5 - 8 years of experience working in technology and 2 - 4 years of technical leadership experience

Extensive development/automation experience in an enterprise environment, either through 1st person implementation or driving a team that achieved such outcomes

Demonstrated experience with AI/LLM tools and platforms (Claude, ChatGPT, Copilot, or similar)

Strong programming background in multiple languages (Python, JavaScript/TypeScript, Java, etc.)

Fluency with Agile Delivery methodologies

Proven ability to create technical training content and deliver presentations to diverse audiences

Experience running office hours, workshops, or technical enablement sessions

Strong written and verbal communication skills with ability to influence at all organizational levels

Hands-on experience with Claude Code or similar AI development tools

Strong technical troubleshooting and problem-solving skills

Knowledge of the Model Context Protocol (MCP) and building MCP servers

Experience evaluating and integrating MCP servers from various sources

Familiarity with AI agent frameworks and autonomous agent development

Understanding of prompt engineering principles and best practices

Experience with DevOps, CI/CD pipelines, and development automation

Knowledge of VS Code extensions, IDE integrations, or developer tooling

Ability to process new concepts and technologies quickly; has an appetite for learning in the fast-moving AI space

Ability to communicate complex technical concepts clearly to non-technical audiences

A problem-solving mindset with skills and attributes to find the most appropriate solutions that bring desired change/outcomes

Exceptional presentation and communication skills; comfortable presenting to executive leadership

Patient and empathetic when teaching and enabling others

A passion to provide world-class developer experience and customer service

Self-directed with ability to work independently while also being a strong collaborator

Bachelor's or Master's degree in Computer Science/Information Systems or related technical field

Preferred

Previous experience as a software engineer or developer advocate

Experience building developer tools, IDE extensions, or CLI applications

Background in machine learning, NLP, or AI/ML engineering

Knowledge of Site Reliability Engineering (SRE) capabilities like observability, monitoring, and error budgeting

Experience with enterprise-scale tool adoption and change management initiatives

Contributions to open-source AI or developer tooling projects

Speaking experience at technical conferences or meetups

Experience creating video tutorials or technical content for developer audiences

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.