Technical Lead with AI
Princeton IT Services, Inc8 months ago
Princeton, NJ, United States
Hybrid
Full-time
Junior Level (1-3 years)
Job Description
Princeton IT Services, Inc
is seeking a forward-thinking Technical Lead to drive end-to-end delivery of enterprise solutions across multiple domains. This role requires strong hands-on technical expertise and cross-functional leadership, focusing on delivering AI-driven solutions including Copilot and enterprise AI implementations.
Responsibilities
- Lead architecture design and technical decision-making
- Drive end-to-end delivery: requirements, design, development, testing, deployment, and support
- Implement AI-powered solutions using Microsoft Azure, Microsoft Copilot, and OpenAI services
- Develop integrations using LLMs, APIs, and automation tools
- Lead cloud-native architecture (microservices, APIs, CI/CD, containerization)
- Mentor teams and collaborate with Product, QA, DevOps, Security, and Business stakeholders
- Ensure secure, scalable, and high-performing implementations
Skills
- 8+ years of IT experience, with 3+ years in a Technical Lead/Architect role
- Strong cloud expertise (Azure preferred)
- Experience delivering AI/ML and Copilot-based solutions
- Hands-on development experience (.NET / Python / JavaScript or similar)
- Experience with DevOps and CI/CD pipelines
- Strong stakeholder communication skills
- Experience with AI governance and responsible AI practices
- Exposure to Power Platform or low-code automation
- Cloud or AI certifications
- Experience in large-scale digital transformation programs
Company Overview
• Princeton IT Services, Inc. It was founded in 2008, and is headquartered in Princeton, New Jersey, USA, with a workforce of 11-50 employees. Its website is https://princetonits.com/.
Company H1B Sponsorship
• Princeton IT Services, Inc has a track record of offering H1B sponsorships, with 10 in 2025, 7 in 2024, 2 in 2023, 4 in 2022, 7 in 2021, 5 in 2020. Please note that this does not guarantee sponsorship for this specific role.
Required Skills
Automation tools
Microservices
Microsoft Copilot
Python
Microsoft Azure
DevOps
CI/CD pipelines
Power Platform
Low-code automation
OpenAI services
LLMs integration
AI governance
Responsible AI practices
Stakeholder communication
Technical decision-making
Containerization
CI/CD
APIs
.NET
Cloud-native architecture
Architecture design
JavaScript
AI-powered solutions