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Senior AI/ML Data Architect || Basking Ridge, NJ (Onsite- Locals only) || Must have Linkedin and 20+ years of IT exp. ||

Nestortechnologies IncBernards, NJ🇺🇸United StatesPosted 8 Sept 2026

Why This Role Stands Out

This Senior AI/ML Data Architect role offers a significant opportunity to shape cutting-edge AI initiatives within a reputable company. You'll thrive here if you possess extensive IT experience and a passion for driving innovation in data architecture. Apply now to leverage your expertise and contribute to impactful projects in Basking Ridge.

Quick Overview

Seniority
Mid Senior
Work mode
On Site
Location
Bernards, NJ, United States
Posted
3 days ago
SQL5GData PipelineJavaLLMPython

Job Description

Senior AI/ML Data Architect

Basking Ridge, NJ(Onsite - Locals only)
Must have Linkedin and 20+ years of IT exp.
 
Job Description:
We are seeking a Senior AI/ML Data Architect with strong expertise in Large Language
Models (LLMs), AI agents, large-scale data systems, and end-to-end data pipeline creation,
specifically within the Telecom domain. This role is responsible for architecting AI-ready
data platforms that power intelligent automation, advanced analytics, and agent-based
decision systems across OSS/BSS, network operations, and customer engagement.
The ideal candidate will bridge data architecture, AI/ML enablement, and telecom domain
intelligence, enabling scalable, governed, and high-performance AI solutions.
Required Skills & Experience Experience
Overall 20+ years of IT experience
12+ years in data engineering, data architecture, or analytics platforms
5+ years working in the Telecom domain (Network, OSS/BSS, 4G/5G)
Proven experience delivering LLM-based and AI-driven data platforms
Technical Skills
Strong expertise in LLMs, RAG architectures, and enterprise AI integration
Hands-on experience designing AI agents and agent orchestration frameworks
Hands on experience in developing, testing and deployment solution
Fully hands on coding experience in Python or Java
Deep knowledge of large-scale data systems (batch & streaming)
Expertise in creating robust, scalable data pipelines Strong understanding of ML pipelines, feature engineering, and AI lifecycle needs
Advanced SQL and data modeling skills
Cloud experience with enterprise-scale AI and data workloads
Domain & Soft Skills
Strong telecom data and operations knowledge
Ability to translate complex technical designs into business value
Excellent communication, stakeholder engagement, and leadership skills.
 
Thanks,
KK

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