
GENAI-Architect
Job Description
Key Responsibilities
hashtag#AIArchitecture & Solution Design
Architect enterprise-scale hashtag#AgenticAI and hashtag#GenerativeAI systems, including:
Multi-agent orchestration frameworks
Retrieval-Augmented Generation (hashtag#RAG) pipelines
Autonomous task execution patterns
Tool-use integration frameworks
Establish reference architectures for an AI-first PDLC covering:
Design
Development
Testing & evaluation
Deployment
Monitoring & observability
Risk controls & governance
Design and implement model lifecycle pipelines including:
Training & fine-tuning workflows
Evaluation harnesses
Model registry & versioning
Continuous improvement loops
Embed AI capabilities into client-facing platforms, internal tooling, and operational workflows.
Required Qualifications :
2+ years architecting Generative AI, Agentic AI, or ML systems at enterprise scale.
6+ years of experience in cloud-native architecture (hashtag#AWS preferred), including:
Microservices
Kubernetes
Event-driven systems
5+ years of hands-on experience with:
LLMs
Vector databases
Embeddings
Evaluation frameworks
Guardrails
Fine-tuning
Orchestration frameworks
8+ years of experience in hashtag#Python.
Proficiency in C#, Java, or TypeScript is a plus.
6+ years of experience in ML Ops, including:
CI/CD for ML
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