AI Lead Engineer

10-12 Years

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Job Description

Description

AI & GenAI Strategy :

Define and own Mouri Tech enterprise AI and GenAI architecture
Lead the design of domain-specific LLMs, AI copilots, and agent-based systems
Establish AI standards, reference architectures, and reusable frameworks
Guide teams on model selection (LLMs, SLMs, open-source, proprietary) and hybrid AI strategies

Solution Architecture & Delivery

Architect and review end-to-end AI solutions from data ingestion to model inference and enterprise integration
Lead RAG, knowledge-based AI, and multi-agent orchestration implementations
Ensure scalability, security, compliance, and cost optimization
Provide technical leadership for multi-client AI programs

AI Engineering & Platform Enablement

Define LLMOps / MLOps frameworks for training, fine-tuning, evaluation, deployment, and monitoring
Drive adoption of vector databases, embeddings, and AI pipelines
Ensure production-readiness of AI platforms running on cloud (Azure, AWS, GCP)

Pre-Sales & Client Engagement

Required Skills & Experience

10+ years in AI, ML, or data engineering, with at least 3 - 5 years in GenAI / LLM-based systems
Strong expertise in LLMs, embeddings, RAG, and AI agent architectures
Hands-on experience with LangChain, LangGraph, AutoGen, or similar frameworks
Experience with Azure OpenAI, OpenAI, or open-source LLMs (LLaMA, Mistral, etc.)
Strong knowledge of vector databases, semantic search, and knowledge-based AI
Experience designing LLMOps / MLOps pipelines
Proficiency in Python and cloud-native AI architectures
Ability to work with enterprise stakeholders and delivery teams

Good-to-Have

Experience with domain-specific AI (Manufacturing, BFSI, Retail, Supply Chain, Service Ops)
Knowledge of fine-tuning, LoRA, RLHF, or model optimization
Familiarity with AI governance, compliance, and data privacy
Experience building enterprise AI platforms or copilots

(ref:hirist.tech)