Description

Define and build the core architecture for AI-centric data and analytics platforms, integrating LLMs, agent frameworks, and orchestration layers.

This role is on-site.

Responsibilities

• Architect multi-agent systems for automation, predictive analytics, and decision intelligence.
• Develop and optimize platform services for Databricks, Power BI, Tableau, SQL Server, and Collibra.
• Design and implement data pipelines for structured and unstructured sources, applying ETL/ELT best practices.
• Implement infrastructure-as-code for provisioning, scaling, and monitoring AI-enabled platform components.

Required Skills

• 8+ years in data architecture, platform engineering, or data engineering.
• Expertise in cloud-native platforms, specifically Azure and AWS.
• Strong proficiency with Databricks, Spark, SQL, and Python.
• Experience with AI/ML frameworks and designing scalable, cost-efficient AI platforms.
• Proven ability to manage stakeholder expectations and communicate technical designs clearly.
• Familiarity with agent orchestration tools and multi-agent architectures.
• Experience with SQL Server.

Preferred Skills

• Experience with LLM-based agents and orchestration frameworks.
• Knowledge of Medallion architecture and agentic design patterns.

Key Skills

Education

Any Gradute