Lead Consultant - AI Engineering
First seen by Alion on Oct 14, 2026.
About Netscribes :
Netscribes is a global leader in data, insights, and digital solutions, helping the world's largest organizations accelerate growth and innovation. As a growth catalyst, we empower sales, marketing, product development, and strategy through a unique blend of domain expertise and technological capabilities. Our end-to-end solutions span data engineering, advanced analytics, AI, and intelligent automation - built to scale and adapt to dynamic business environments.
Role Overview :
We are looking for a Lead Consultant to own end-to-end AI and GenAI engineering initiatives. You will work across the full stack of ML/AI, from classical ML and MLOps to Agentic AI and RAG architectures.
Mandatory Skills :
- Python : Production-grade, clean, modular code.
- Classical ML & MLOps : End-to-end ownership (feature engineering, training, deployment, monitoring, CI/CD).
- Agentic AI Engineering : Multi-agent systems, tool use, orchestration (LangGraph, AutoGen, CrewAI).
- Execution Platforms : Hands-on experience with Databricks, AWS (Bedrock, SageMaker), or Azure (AI Foundry, Azure OpenAI).
- Foundation Model Engineering : Fine-tuning (LoRA, QLoRA), prompt engineering, drift management.
- RAG Architecture : Document ingestion, chunking, vector store integration, re-ranking.
- Vector Databases : Pinecone, Weaviate, Qdrant, or Milvus.
- LLM Evaluation : RAGAS, TruLens, DeepEval, golden set benchmarking.
- AI Governance : Model observability, audit trails, bias risk management.
Key Responsibilities :
- Own end-to-end ML pipeline design and MLOps standards.
- Architect and build multi-agent systems for complex business workflows.
- Select and fine-tune foundation models; manage prompt-to-model drift.
- Design retrieval systems (naive RAG, hybrid, Graph RAG) and manage vector database performance.
- Define evaluation frameworks for LLM/Agentic solutions.
- Provide technical leadership : mentor engineers, set engineering standards, and represent the team in client conversations.
Education :
- Graduates only.
Skills
Artificial Intelligence, Python, Machine Learning, MLOps, Agentic AI, Generative AI, RAG, AWS, Azure, Data Science