Artificial Intelligence Consultant

Tata Consultancy Services

Kochi, Kerala, India6d agovia LinkedIn

Key Responsibilities

  • Design and implement solutions leveraging GenAI & AI Large Language Models (LLMs), Agentic AI Frameworks, and Multi-Agent Systems.
  • Apply Prompt Engineering techniques and utilize AI Orchestration Frameworks.
  • Develop and integrate Vision AI / Multimodal AI capabilities.
  • Implement AI Evaluation and Guardrails, including RAG & Knowledge Systems, Retrieval-Augmented Generation (RAG), Vector Databases, Semantic Search, Knowledge Graphs, and Kernel Memory or equivalent frameworks.
  • Build Enterprise Search Solutions.
  • Perform Software Engineering tasks using TypeScript, Node.js, and Python.
  • Develop REST APIs.
  • Engage in VS Code Extension Development.
  • Utilize GitHub / GitHub Copilot and manage CI/CD Pipelines.
  • Conduct Data & Database tasks, including SQL Server Database Investigation & Query Optimization, Data Modeling, and Secure Database Connectivity.
  • Work with Cloud & DevOps tools such as Azure and Azure DevOps.
  • Implement API Integrations.
  • Focus on Security, including Application Security, Data Protection, Encryption Standards (AES-256 or equivalent), and Secure AI Architecture.

Requirements & Tech Stack

  • GenAI & AI Large Language Models (LLMs)
  • Agentic AI Frameworks
  • Multi-Agent Systems
  • Prompt Engineering
  • AI Orchestration Frameworks
  • Vision AI / Multimodal AI
  • AI Evaluation and Guardrails
  • RAG & Knowledge Systems
  • Retrieval-Augmented Generation (RAG)
  • Vector Databases
  • Semantic Search
  • Knowledge Graphs
  • Kernel Memory or equivalent frameworks
  • Enterprise Search Solutions
  • Software Engineering
  • TypeScript
  • Node.js
  • Python
  • REST APIs
  • VS Code Extension Development
  • GitHub / GitHub Copilot
  • CI/CD Pipelines
  • Data & Database
  • SQL Server Database Investigation & Query Optimization
  • Data Modeling
  • Secure Database Connectivity
  • Cloud & DevOps
  • Azure
  • Azure DevOps
  • GitHub Enterprise
  • API Integrations
  • Security
  • Application Security
  • Data Protection
  • Encryption Standards (AES-256 or equivalent)
  • Secure AI Architecture

Domain Experience (Preferred)

  • Property & Casualty Insurance Claims
  • Policy Administration
  • Underwriting Systems

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