Interesting Job Opportunity: AI Architect - LLM/Neural Networks

Targeticon Digital Services Private Limited; Maharashtra; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Targeticon Digital Services Private Limited is seeking an AI/ML systems architect to build scalable, cost-aware data pipelines, GPU utilization, and model deployment across hybrid or cloud environments.

You will lead technology and model selection between RAG and fine-tuning, ensure seamless integration with existing IT infrastructure, and establish automated guardrails through MLOps, while collaborating with executives, data scientists, and engineers to align roadmaps with ROI.

Qualifications

• Deep understanding of LLMs, neural networks, and orchestration frameworks.
• Expertise in vector databases, data readiness, and processing large datasets.
• Familiarity with major cloud providers (AWS, Azure, GCP) and containerization/orchestration tools (Docker, Kubernetes).
• Strong communication and analytical skills to bridge the gap between technical teams and business stakeholders.

Responsibilities

• Architect scalable, cost-aware AI systems across hybrid or cloud environments.
• Choose between RAG or fine-tuning, and select the best tools for specific use cases.
• Guarantee AI solutions integrate seamlessly with existing IT infrastructure and maintain security standards.
• Implement MLOps (ModelOps), monitor latency and hallucinations, and establish automated guardrails.
• Collaborate with executives, data scientists, and engineers to align technology roadmaps with business ROI.

Skills

LLMs

Neural networks

Orchestration frameworks

Leadership & strategy

Tools

LangGraph

TensorFlow

PyTorch

Job description

• Architectural Design : Build scalable, cost-aware systems handling data pipelines, GPU utilization, and model deployment across hybrid or cloud environments.
• Technology & Model Selection : Choose between RAG (Retrieval-Augmented Generation) or fine-tuning, and select the best tools (e.g., LangGraph, TensorFlow, PyTorch) for specific use cases.
• System Integration : Guarantee AI solutions integrate seamlessly with existing IT infrastructure and maintain security standards.
• Governance & Lifecycle Management : Implement MLOps (ModelOps), monitor for latency and hallucinations, and establish automated guardrails.
• Stakeholder Management : Collaborate with executives, data scientists, and engineers to align technology roadmaps with business ROI.

Preference : Immediate Joiners

Core Responsibilities

• Architectural Design : Build scalable, cost-aware systems handling data pipelines, GPU utilization, and model deployment across hybrid or cloud environments.
• Technology & Model Selection : Choose between RAG (Retrieval-Augmented Generation) or fine-tuning, and select the best tools (e.g., LangGraph, TensorFlow, PyTorch) for specific use cases.
• System Integration : Guarantee AI solutions integrate seamlessly with existing IT infrastructure and maintain security standards.
• Governance & Lifecycle Management : Implement MLOps (ModelOps), monitor for latency and hallucinations, and establish automated guardrails.
• Stakeholder Management : Collaborate with executives, data scientists, and engineers to align technology roadmaps with business ROI.

Key Skills & Requirements

• Technical Proficiency : Deep understanding of Large Language Models (LLMs), neural networks, and orchestration frameworks.
• Data Management : Expertise in vector databases, data readiness, and processing large datasets.
• Cloud & Infrastructure : Familiarity with major cloud providers (AWS, Azure, GCP) and containerization/orchestration tools (Docker, Kubernetes).
• Leadership & Strategy : Exceptional communication and analytical skills to bridge the gap between technical teams and business stakeholders. (ref:hirist.tech)