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Java Lead Engineer / Architect - Agentic AI

Princeton IT ServicesToronto, ON🇺🇸United States

Why this role stands out

This is an exciting opportunity to lead the design and development of cutting-edge distributed platforms leveraging Agentic AI, offering significant impact and career growth. You'll thrive here if you're a seasoned Java Lead Engineer with a passion for architecting scalable, cloud-native solutions and mentoring teams, especially in a hybrid environment that fosters collaboration and innovation.

Quick overview

SeniorityMid Senior
Work modeHybrid
LocationToronto, ON, United States
Edge ComputingGenerative AIAgile

Job description

Job Title: Java Lead Engineer / Architect Agentic AI

Location: Toronto, ON

Employment Type: Full-Time Contract

Job Summary

We are seeking a highly experienced Java Lead Engineer / Architect to design and build next-generation distributed platforms focused on edge computing, backend services, and AI/ML enablement. This is a hands-on technical leadership role where you will define architecture, develop production-grade solutions, and collaborate closely with engineering, data science, and product teams to deliver scalable, high-performance systems.

Key Responsibilities

  • Design and develop scalable distributed systems from concept to production.
  • Build backend services and APIs using Java Spring Boot.
  • Architect event-driven and microservices-based applications.
  • Design edge computing and CDN-based solutions for low-latency signal processing.
  • Develop data ingestion, validation, normalization, and processing pipelines.
  • Build platform capabilities supporting ML inference, feature engineering, and model integration.
  • Define integration patterns for third-party services, identity providers, and secure APIs.
  • Design cloud-native architectures on AWS with a focus on scalability, security, and reliability.
  • Implement observability, monitoring, logging, and governance best practices.
  • Collaborate with cross-functional teams to deliver enterprise-scale solutions.
  • Mentor engineers and drive architectural decisions and technical best practices.

Required Skills

  • 10+ years of experience building enterprise distributed systems.
  • Strong expertise in Java and Spring Boot.
  • Experience designing RESTful APIs, microservices, and event-driven architectures.
  • Strong experience with AWS cloud services.
  • Experience building scalable backend platforms supporting AI/ML workloads.
  • Hands-on experience with AI-assisted development tools such as GitHub Copilot and LLM-based development workflows.
  • Experience designing greenfield applications from concept through production.
  • Strong architecture, system design, and technical leadership skills.
  • Experience working in fast-paced Agile environments with evolving requirements.

Preferred Skills

  • Experience with JavaScript/TypeScript for edge runtimes.
  • Hands-on experience with Edge Computing, CDN platforms, Lambda@Edge, or Edge Workers.
  • Python experience for scripting or data engineering.
  • Experience with Databricks or similar AI/data platforms.
  • Experience building ML inference pipelines, feature stores, or model-serving platforms.
  • Knowledge of JWT, OAuth 2.0, PKI, JWS, identity, and security architectures.
  • Experience with distributed tracing, observability, and monitoring tools.
  • Experience integrating enterprise platforms and third-party services.
  • Open-source contributions or community involvement is a plus.

Technology Stack

  • Backend: Java, Spring Boot
  • Cloud: AWS
  • Languages: Java, JavaScript, TypeScript, Python
  • AI/Data: Databricks, ML Model Registry
  • Edge Technologies: Edge Workers, CDN Compute, Lambda@Edge
  • Dev Tools: GitHub Copilot, AI-assisted development tools
  • Architecture: Microservices, Event-Driven Systems, Distributed Computing

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