Description

Job Description
Core Skills
•    Orchestration architecture and framework selection (Microsoft Agent Framework, LangGraph); 
•    MCP-based integration across 10 to 15 source systems; 
•    model-right strategy (frontier vs. smaller models by use case); 
•    owns the retrieval evaluation framework for accuracy on fault codes and parts data

Key Responsibilities:
•    Design and lead orchestration architecture for enterprise-scale agentic AI solutions.
•    Evaluate and implement orchestration frameworks such as Microsoft Agent Framework and LangGraph.
•    Architect and manage MCP-based integrations across 10-15 enterprise source systems.
•    Define and execute a model-right strategy, selecting frontier and smaller models based on specific use cases.
•    Own and govern the retrieval evaluation framework to ensure accuracy and reliability of fault codes, parts data, and knowledge retrieval systems.

This is a strategic leadership role focused on shaping next-generation AI solutions and driving enterprise-scale adoption of age

Required Skills
AI models
AZURE
Amazon Web Services
Application Deployment
Authentication - Authorization
CI CD Pipeline
Containerization
Data protection principles
Database Integration
Deep Learning Frameworks
Digital Optimization
Docker
Encryption Technique
GenAI - Data Science
GitHub
GitHub Actions
Google Cloud Platform
Graphic Tools
Jenkins
Model pruning - distillation
Model quantizationAccelerators
Networking principles
ONNX
TPUs
Travis CI

Key Skills

Education

Any Graduate