AI/ML Data Architect

Radiant Digital Solutions LLC; New Jersey; On-site; USD 180,000 - 280,000; Full time

Job summary

Radiant Digital Solutions LLC seeks a seasoned Enterprise Architect to design scalable AI-ready data platforms for telecom, including LLMs, RAG, and agent orchestration. You will align data architectures with business goals and guide cross-functional teams.

The role demands deep telecom data expertise, strong governance, and hands-on Python/Java, large-scale batch/streaming pipelines, and cloud-native workloads.

Qualifications

• 20+ years in IT
• 12+ years in data engineering/architecture
• 5+ years in Telecom domain
• Proven experience with LLM-based/AI-driven data platforms
• Strong governance and security focus
• Excellent communication and leadership abilities

Responsibilities

• Architect AI-ready data platforms for Telecom (OSS/BSS, NOC, customer analytics)
• Lead LLM and AI agent solution architecture and governance
• Oversee large-scale cloud-native data systems (batch/streaming)
• Ensure data quality, lineage, and access control across platforms
• Collaborate with telecom business/engineering teams to translate use cases into scalable data solutions
• Mentor teams and contribute to enterprise AI/data roadmaps

Skills

Data architecture

AI/ML data pipelines

LLMs

RAG

Python/Java coding

Cloud-native data platforms

Data governance

Stakeholder leadership

Tools

CI/CD

Job description

• Architect AI-Ready Data Platforms: Design and implement robust, scalable data architectures powering AI automation, advanced analytics, and agent-based decision systems, specifically for the Telecom sector (OSS/BSS, network operations, customer engagement).
• LLM & AI Agent Solutions: Lead architecture and governance of Large Language Model (LLM) and AI agent solutions, including Retrieval-Augmented Generation (RAG), for automation, diagnostics, and workflow orchestration.
• Large-Scale Data Systems: Design and build high-volume, cloud-native data platforms capable of processing diverse telecom data (CDRs, telemetry, logs, KPIs, etc.), utilizing patterns like Lakehouse, Data Mesh, and Streaming-first.
• End-to-End Data Pipelines: Oversee the creation and operation of end-to-end data pipelines (ingestion through serving), ensuring AI-readiness for LLM training/inference and agent context, with reliability and CI/CD deployment.
• Telecom Domain Enablement: Collaborate with telecom business and engineering teams to translate domain-specific use cases into scalable AI/ML data solutions (e.g., network anomaly detection, NOC automation, customer analytics, fraud detection).
• Governance, Security & Compliance: Define and enforce data governance, lineage, metadata management, and access control, ensuring secure and compliant use of AI and data according to regulations.
• Technical Leadership: Serve as a domain expert and solution authority, defining architectural standards and reference models, mentoring teams, and contributing to enterprise AI/data roadmaps.
• Required Experience: 20+ years in IT, 12+ years in data engineering/architecture, 5+ years in Telecom domain, and proven experience with LLM-based/AI-driven data platforms.
• Technical Proficiency: Deep hands-on skills with LLMs, RAG, AI agent orchestration, Python/Java coding, large-scale batch/streaming data systems, ML/feature engineering pipelines, advanced SQL/data modeling, and cloud-based AI/data workloads.
• Domain & Soft Skills: Strong understanding of telecom operations/data, ability to bridge business and technical needs, and excellent communication, stakeholder management, and leadership abilities.