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Role - Senior AI/ML Data Architect
Location – Baskin Ridge ,NJ
Work Mode – Client Hybrid (3 days week)
Job Description ,
We are seeking a Senior AI/ML Data Architect with strong expertise in Large Language Models (LLMs), AI agents, largescale data systems, and endtoend data pipeline creation, specifically within the Telecom domain. This role is responsible for architecting AIready data platforms that power intelligent automation, advanced analytics, and agentbased 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 highperformance AI solutions.
Key Responsibilities,
LLM & AI Agent Architecture
Design and implement LLMenabled architectures, including RAG (RetrievalAugmented Generation) solutions using structured and unstructured telecom data.
Architect and govern AI agents and multiagent systems for automation, diagnostics, decision support, and workflow orchestration.
Enable secure integration of LLMs and agents with enterprise data platforms, APIs, and business systems.
Define best practices for prompt engineering, model orchestration, evaluation, and feedback loops.
LargeScale Data Architecture
Lead the design of largescale, cloudnative data platforms capable of processing highvolume, highvelocity telecom data.
Architect lowlatency and batch data ecosystems handling CDRs, network telemetry, logs, KPIs, customer interactions, and documents.
Select and implement appropriate data architecture patterns such as Lakehouse, Streamingfirst, and Data Mesh.
Data Pipelines & Engineering
Design and oversee endtoend data pipelines covering ingestion, transformation, enrichment, feature creation, and serving layers.
Build AIready pipelines optimized for LLM training, inference, agent context retrieval, and model lifecycle management.
Ensure realtime and batch pipeline reliability using observability, data quality checks, and automated monitoring.
Implement CI/CDdriven pipeline deployments and versioning.
Telecom Domain Enablement
Partner with OSS, BSS, Network Engineering, IT, and Business teams to translate telecom use cases into scalable AI data solutions.
Apply deep understanding of telecom KPIs, network layers, subscriber data, and operational workflows.
Enable AI use cases including:
Network anomaly detection & rootcause analysis
Intelligent NOC and assurance automation
Customer experience analytics & churn prediction
Fraud detection and revenue assurance
Governance, Security & Compliance
Define and enforce data governance, lineage, metadata management, and access control for large data and AI systems.
Ensure compliance with data privacy regulations and secure AI usage across platforms.
Establish responsible AI and LLM governance frameworks.
Technical Leadership
Act as a domain expert and solution authority for AI/ML data architecture.
Define architectural standards, reference models, and reusable frameworks.
Mentor engineers, architects, and data teams.
Contribute to enterprise AI and data transformation roadmaps.
Required Skills & Experience
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 LLMbased and AIdriven data platforms
Technical Skills
Strong expertise in LLMs, RAG architectures, and enterprise AI integration
Handson experience designing AI agents and agent orchestration frameworks
Deep knowledge of largescale 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 enterprisescale 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
Shekar
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Apex-2000 Inc
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