Senior Data Modeler

Role Overview

We are looking for an experienced Data Modeler / AI Architect with strong expertise in AI-native architecture, GenAI, Data Lakes, SQL and Python. The candidate should have hands-on experience with RAG, embeddings, Agentic AI frameworks and cloud-native AI services.

The role involves technical leadership, architecture design, research/POCs, client interaction, mentoring and solving complex technical challenges.

Key Responsibilities

• Design and implement AI-native architectures, including RAG-based solutions, embeddings and Agentic AI frameworks.
• Work extensively with Data Lakes, SQL and Python for data and AI solutions.
• Develop and integrate GenAI solutions using cloud-native AI services such as AWS or Azure.
• Understand and work with LLM fine-tuning, response standardization and memory management.
• Build AI integrations and evaluate emerging AI technologies through POCs and applied research.
• Apply architecture principles across data, applications, infrastructure, security and business solution layers.
• Research requirements, assess technical feasibility, costs, benefits and functional requirements.
• Troubleshoot critical technical issues and perform root-cause analysis.
• Provide technical leadership and guidance to a small team of 2–4 members.
• Mentor team members and help build technical capabilities.
• Collaborate with Team Leaders, Project Leaders, business teams, vendors and clients.
• Manage multiple complex projects/initiatives and ensure timely delivery.
• Identify opportunities for process improvement, cost optimization and revenue enhancement.
• Stay updated with the latest developments and trends in AI, GenAI, data and cloud technologies.

Mandatory Skills

• 10+ years of overall IT experience
• 3+ years of relevant experience in Data Architecture / Data Modeling / AI / GenAI
• Strong experience in AI / GenAI – MUST HAVE
• RAG & Embeddings
• Agentic AI / Agentic Frameworks
• Data Lake
• SQL
• Python
• Experience with LLMs and GenAI integrations
• Understanding of LLM fine-tuning
• Understanding of memory management
• Experience with AWS or Azure cloud-native AI services
• Strong architecture and problem-solving skills
• Strong client-facing and communication skills
• Technical leadership / team mentoring experience

Preferred / Domain Knowledge

• Knowledge of brokerage or financial services processes is preferred.
• Bachelor's degree in Computer Science, Engineering, MIS or related field preferred.
• Strong understanding of project management concepts.
• Experience working in a matrix organization.

Ideal Candidate

The ideal candidate should be a senior technical professional who combines Data Modeling/Architecture expertise with hands-on AI/GenAI experience, along with strong client-facing, leadership and problem-solving capabilities.

Important: AI / GenAI experience is a mandatory requirement for this position.