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Position Summary
The Senior Engineer Consultant – AI Science serves as a technical leader and subject matter expert in artificial intelligence, machine learning, and advanced analytics. In this hybrid consulting and engineering role, you will bridge the gap between complex business challenges and cutting-edge AI technologies. You will architect, build, and deploy production-grade AI solutions—including Generative AI, Retrieval-Augmented Generation (RAG),



and autonomous Agentic AI systems—to drive measurable business impact and transformation.
Key Responsibilities
1. Solution Architecture & Technical Strategy
• Design scalable, enterprise-grade architecture for AI/ML systems, Generative AI models, and autonomous multi-agent frameworks (e.g., LangGraph, CrewAI, AutoGen).
• Define standards for Model Context Protocol (MCP), RAG architectures, prompt engineering, and LLM fine-tuning/evaluation.
• Assess technical feasibility, select model architectures, and define data pipelines for complex, structured, and unstructured datasets.

2. Hands-on AI Engineering & Implementation
• Programmatically integrate state-of-the-art LLM APIs (e.g., OpenAI, Anthropic Claude, Google Gemini) into enterprise workflows.
• Develop, train, and validate statistical models, optimization algorithms, and machine learning pipelines using Python, R, or C++.
• Implement MLOp

📌 Senior Engineering Consultant-AI Science (Hyderabad)
🏢 Verizon
📍 Hyderabad