17 Aug
|
Induansh Private
|
India
17 Aug
Induansh Private
India
AI Engineering Lead / AI Architect
Job Type: Contract / C2C
Experience: 8+ Years
Location: Pune
Job Description
We are looking for an experienced AI Engineering Lead / AI Architect to lead enterprise AI initiatives and design scalable, cloud-native AI solutions. The ideal candidate should have robust expertise in Generative AI, Large Language Models (LLMs), AI Solution Architecture, and Engineering Leadership.
This role requires hands-on experience building AI-powered applications, leading technical teams, collaborating with clients, and delivering enterprise-grade AI solutions.
Key Responsibilities
Lead the design and implementation of enterprise AI solutions.
Architect scalable cloud-native applications using AWS, Azure, or GCP.
Develop AI applications using Generative AI, LLMs, RAG, AI Chatbots, and NLU.
Design document processing solutions using embeddings, vector search, chunking, indexing, and summarization.
Work closely with clients and stakeholders to gather requirements and provide technical leadership.
Lead engineering teams and ensure successful project delivery.
Define AI architecture, model evaluation strategies, technical governance, and deployment best practices.
Drive code quality, performance optimization, CI/CD adoption, and cloud-native development.
Required Skills
12+ years of Software Engineering experience.
Hands-on development experience with Java, Python, or .NET.
Experience building cloud-native applications on AWS, Azure, or GCP.
Robust expertise in:
Generative AI
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
AI Chatbots
Natural Language Understanding (NLU)
Experience with:
Document Summarization
Vector Search
Embeddings
Chunking
Indexing
Hands-on experience with LangChain and/or LangGraph.
Experience with OpenAI or Azure OpenAI.
Solid understanding of AI solution architecture, model evaluation, drift detection, and technical debt management.
Experience leadi
📌 Ai Engineering Lead Pune (India)
🏢 Induansh Private
📍 India