Consulting

Responsibilities

• Solution Development

Design and develop AI/GenAI-based solutions for AMS use cases such as ticket analytics, incident summarization, root cause insights, and knowledge automation.

• PoC & MVP Development

Build Proof of Concepts (PoCs) and Minimum Viable Products (MVPs) to validate AI-driven transformation opportunities.

• GenAI Implementation

Develop applications using LLMs, RAG architectures, vector databases, and prompt engineering techniques.

• Integration

Integrate AI solutions with ITSM platforms, enterprise applications, and automation tools.

• Optimization

Improve model performance using prompt tuning, evaluation frameworks, and feedback loops.

• Documentation

Maintain technical documentation, solution architecture, and implementation guidelines.

• Collaboration

Work closely with lead consultants, architects, and development teams to deliver scalable AI solutions.

Technical and Professional Requirements

• Strong programming experience in Python and SQL
• Experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn)
• Hands-on experience with Generative AI and Large Language Models (LLMs)
• Familiarity with LLM frameworks such as LangChain or LlamaIndex
• Understanding of RAG architectures, vector databases, embeddings, and prompt engineering
• Experience building AI-powered solutions such as chatbots, knowledge assistants, ticket analytics, and summarization tools
• Understanding of ITSM platforms (ServiceNow, BMC Remedy, etc.)
• Experience integrating AI solutions with automation platforms and APIs
• Understanding of data preprocessing, feature engineering, and model evaluation
• Familiarity with MLOps concepts and model deployment

Preferred Skills

• Python
• LLMOps
• Azure ExpressRoute
• model framework (langchain)

Educational Requirements

Bachelor Of Comp. Applications,Bachelor Of Computer Science,Bachelor Of Science,Bachelor of Engineering,Bachelor Of Technology