Principal Software Architect: Enterprise AI & Platform Leader

TD; Mount Laurel Township (NJ); On-site; USD 180,000 - 280,000; Full time

Benefits offered by this job

Health And Well-Being Benefits

Savings And Retirement Programs

Paid Time Off

Banking Benefits And Discounts

Career Development

Reward And Recognition

Cash And Equity Incentive Awards

Job summary

TD seeks a senior software engineering leader to shape enterprise-scale strategy, architecture, and delivery. You will design secure, scalable platforms and guide modernization through AI-enabled SDLC transformation.

Ideal candidates bring 15+ years of experience, strong technical leadership, and a track record in complex regulated environments, with a bias for production resilience and risk management.

Qualifications

• 15+ years of relevant software engineering experience with senior technical leadership.
• Experience in complex, regulated environments and measurable enterprise-scale outcomes.
• Hands-on expertise in architecture, cloud-native distributed systems, AI/ML apps, and modern SDLC.

Responsibilities

• Lead enterprise-scale software strategy, architecture, and delivery.
• Set engineering standards and modernize SDLC with AI-enabled transformations.
• Mentor teams and stakeholders across technical and operational domains.
• Manage technical and operational risks while guiding platform engineering programs.

Skills

Software Engineering

Technical Leadership

Software Architecture

Platform Engineering

Artificial Intelligence And Generative

Java

Python

Cloud Platforms

Kubernetes

Microservices

REST APIs

CI/CD

Infrastructure As Code

DevSecOps

Site Reliability Engineering

Incident Management

Education

Bachelor's degree or higher; graduate degree preferred

Tools

Kubernetes

CI/CD

Infrastructure As Code

DevSecOps

Site Reliability Engineering

Job description

TD seeks a senior software engineering leader to shape enterprise-scale strategy, architecture, and delivery. You will design secure, scalable platforms and guide modernization through AI-enabled SDLC transformation.

Ideal candidates bring 15+ years of experience, strong technical leadership, and a track record in complex regulated environments, with a bias for production resilience and risk management.