Data Architect

Position Title: Senior AI/ML Data Architect Location: Baskin Ridge, NJ. Work Arrangement: Onsite This is a Principal/Enterprise Architect level role requiring a rare combination of Telecom + Data Architecture + GenAI/LLM/AI Architecture + Hands-on Engineering experience.

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.

• LLM & AI Agent Architecture Design and implement LLM-enabled architectures, including RAG (Retrieval-Augmented Generation) solutions using structured and unstructured telecom data.
• Architect and govern AI agents and multi-agent 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.
• Large-Scale Data Architecture Lead the design of large-scale, cloud-native data platforms capable of processing high-volume, high-velocity telecom data.
• Architect low-latency and batch data ecosystems handling CDRs, network telemetry, logs, KPIs, customer interactions, and documents.
• Select and implement appropriate data architecture patterns such as Lakehouse, Streaming-first, and Data Mesh.
• Data Pipelines & Engineering Design and oversee end-to-end data pipelines covering ingestion, transformation, enrichment, feature creation, and serving layers.
• Build AI-ready pipelines optimized for LLM training, inference, agent context retrieval, and model lifecycle management.
• Ensure real-time and batch pipeline reliability using observability, data quality checks, and automated monitoring.
• Implement CI/CD-driven 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 & root-cause 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 accesscontrol 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.

• 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

For applications and inquiries, contact:View email address on us.fitly.work