Senior Data Modeler

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.

• 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.
  

• 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
  

• 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.
  

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.