Role & responsibilities

Role Summary:

The role will own the AI and GenAI architecture, including LLM lifecycle management, agentic orchestration, prompt engineering, model optimization, inference engineering, guardrails and evaluation frameworks.

The individual will lead the implementation of enterprise-grade AI-assisted rule transformation and governance capabilities.

Should be able to lead a team of engineers, excellent skill in hands on coding and extremely proficient in doing effective code review for production grade code.

Key Responsibilities:

AI Platform Architecture
Design agentic orchestration frameworks
Implement AI-assisted rule transformation pipelines
Drive LLM integration and optimization strategy

LLM Engineering
Build enterprise-ready LLM libraries
Fine-tune and optimize foundation models
Design configuration-based choices to use either proprietary LLM models or local hosted models from LLM libraries
Design prompt engineering and orchestration frameworks
Implement inference optimization strategies

NLP & Rule Intelligence
Implement sentence extraction and semantic parsing pipelines
Support AST normalization and canonical transformation
Build semantic comparison and amendment intelligence
Support RAG and vector retrieval frameworks

Governance & AI Safety




Implement AI guardrails and safety controls
Define evaluation and benchmarking frameworks
Support explainability and AI observability
Implement policy-aware execution boundaries

Runtime & Optimization
Implement scalable inference architecture
Optimize latency, throughput and deployment efficiency
Support GPU orchestration and inference engineering
Drive model lifecycle governance

Required Skills

AI & LLM Skills
LLM fine-tuning, pretraining and model optimization
Agentic architecture and orchestration
Advanced prompt engineering
NLP and semantic extraction
Evaluation and benchmarking frameworks

AI Platform Skills
RAG and vector database architecture
Inference engineering (vLLM, SGLang etc.)
Guardrails and AI governance
GPU deployment and model serving
AI observability and telemetry

Engineering Skills
Python ecosystem
LangChain/LangGraph/CrewAI ecosystems
Cloud-native AI deployment
Distributed inference systems
AI workflow orchestration

Preferred Experience
5+ to 12+ years in AI/ML engineering
Hands-on GenAI platform engineering experience
Experience with enterprise AI governance
Exposure to regulated industry AI deployment

Location: Bangalore, Chennai

📌 Gen Ai Engineer/lead/architect Tamil Nadu
🏢 Momento Cybertech Solutions
📍 Tamil Nadu