Posted 27 May, 2026
AI Architect
NR Consulting
Bengaluru,560048
Full Time
Reference: 365_463738_26-04032
Profile: AI Architect
Experience: 10+ Years
Location: Remote
Job Description:
Build end-to-end AI/ML/Agentic-AI solution - from ideation, research, and experimentation to deployment and monitoring in production.
Manage project timelines, deliverables, and cross-team dependencies in coordination with product and engineering leads.
Translate business and technical requirements into ML roadmap, architecture, and actionable workstreams.
Drive adoption of MLOps best practices and champion operational excellence for ML infrastructure.
Build and deploy models for cloud workload prediction, resource optimization, and intelligent automation.
Integrate GenAI, LLM-based and Agentic AI solutions into customer-facing products and internal systems.
Communicate ML strategy, progress, and insights effectively to both technical and non-technical stakeholders.
Requirements:
BTech/BE, Masters or Ph.D. in Computer Science, Machine Learning, AI, or a related field.
10+ years of experience in ML/AI/DE
Proven track record of delivering ML projects into production at scale, preferably in a SaaS/cloud infrastructure setting.
Strong hands-on experience with ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch) and Python.
Hands-on experience with GenAI, LLMs and Agentic AI frameworks (e.g., OpenAI, Hugging Face, LangChain), including practical implementation in production.
Experience: 10+ Years
Location: Remote
Job Description:
Build end-to-end AI/ML/Agentic-AI solution - from ideation, research, and experimentation to deployment and monitoring in production.
Manage project timelines, deliverables, and cross-team dependencies in coordination with product and engineering leads.
Translate business and technical requirements into ML roadmap, architecture, and actionable workstreams.
Drive adoption of MLOps best practices and champion operational excellence for ML infrastructure.
Build and deploy models for cloud workload prediction, resource optimization, and intelligent automation.
Integrate GenAI, LLM-based and Agentic AI solutions into customer-facing products and internal systems.
Communicate ML strategy, progress, and insights effectively to both technical and non-technical stakeholders.
Requirements:
BTech/BE, Masters or Ph.D. in Computer Science, Machine Learning, AI, or a related field.
10+ years of experience in ML/AI/DE
Proven track record of delivering ML projects into production at scale, preferably in a SaaS/cloud infrastructure setting.
Strong hands-on experience with ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch) and Python.
Hands-on experience with GenAI, LLMs and Agentic AI frameworks (e.g., OpenAI, Hugging Face, LangChain), including practical implementation in production.
