Technical Lead (GenAI)

TechDigital Group; Raritan (NJ); On-site; USD 180,000 - 230,000; Full time

Job summary

TechDigital Group is seeking an AI Architect to lead GenAI initiatives and shape scalable ML platforms. You will architect end-to-end GenAI solutions, oversee model deployment, and guide engineers across data pipelines and cloud-native infra.

You will stay hands-on in coding and design, driving technical decisions, best practices, and high-quality delivery in a fast-paced environment.

Qualifications

• 8+ years in software engineering with at least 3 years in a leadership role.
• Hands-on experience in GenAI, ML, and cloud infrastructure.
• Proficiency in Python, JavaScript, Java and API development.

Responsibilities

• Architect and lead GenAI applications and machine learning models.
• Design data pipelines and cloud-native infrastructure for scalable systems.
• Code, design, and solve complex problems with cross-functional teams.

Skills

GenAI leadership

Cloud architecture

ML pipelines

API design

Team leadership

Hands-on coding

Tools

TensorFlow

PyTorch

scikit-learn

spaCy

REST/GraphQL APIs

GCP

Job description

8+ years of hands-on technical experience in software engineering, with at least 3+ years in a leadership role managing cross-functional teams, including GenAI, machine learning, and cloud infrastructure.

Hands-on Experience in designing and developing large-scale systems, including GenAI, API architectures, data systems, ML pipelines, and cloud-native applications.

Programming Languages: Proficiency in Python, JavaScript, Java, or other backend languages. Experience with API development (RESTful APIs, GraphQL).

Machine Learning & AI: Extensive experience in building and deploying ML models using TensorFlow, PyTorch, scikit-learn, and spaCy, with hands-on experience in integrating them into GenAI applications.

Hands on experience in GCP/Data Engineering/DevOps

The AI architect will play a pivotal role in architecting, leading, and actively contributing to the development of GenAI applications, machine learning models, data engineering pipelines, and cloud-native infrastructure.

Be responsible for architecting complex systems, making critical decisions, and leading teams to deliver high-quality, scalable solutions while remaining directly involved in coding, technical design, and problem-solving