AI Architect Job at Noblesoft Technologies, Raritan, NJ

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  • Noblesoft Technologies
  • Raritan, NJ

Job Description

Position Details

Job Location

Raritan, NJ

Remote ok (Yes / No)

No (Day-1 onsite)

Project Duration

6+ months

Job Title/Role

AI Architect

Mandatory Skills

Mandatory

  • 12+ years of hands-on technical experience in software engineering, with at least 5+ 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.


Preferred:
Hands on experience in GCP/Data Engineering/DevOps

Detailed JD (Pl share the Detailed Description, 1 liner JD will not work)

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 . This hands-on leadership position requires extensive technical expertise and experience in managing a diverse, cross-functional team of engineers spanning GenAI App Development, Data Science , Machine Learning , Full Stack , DevOps , Cloud Infrastructure , and API development .


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 .


Skill Matrix:
Skill Required Proficiency - On a scale of 1-5 (5 being the highest)
AI Architect Design and implement scalable architectures for Generative AI-based applications addressing challenges such as latency, fine-tuning, model monitoring, and cost optimization 5
Strong background in data science, machine learning, and software engineering 5
Job Location Hands-on expertise in managing LLMs (e.g., OpenAI, Hugging Face, or custom models). 4
Solid understanding of cloud platforms (e.g., AWS, Azure, GCP) and MLOps best practices. 4
Agentic AI implementation 3.5
Raritan, NJ 4
API framework ( eg.FastAPI ) 3

Job Tags

Contract work, Remote job,

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