Artificial Intelligence Architect

NetConnectGlobal; Delhi; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

NetConnectGlobal is seeking an experienced AI Architect to design and develop enterprise-scale AI and Generative AI platforms. The ideal candidate will have over 8 years of experience in AI/ML architecture and a proven track record in managing AI solutions with LLMs and RAG systems.

The position involves leading cross-functional teams and ensuring compliance with AI governance standards. Strong stakeholder management and technical leadership skills are essential for this role.

Qualifications

• 8+ years of experience in AI/ML architecture and enterprise solution design.
• Hands-on experience designing and deploying production-grade AI applications.
• Excellent stakeholder management, communication, and leadership skills.

Responsibilities

• Design and architect enterprise-scale AI and Generative AI platforms.
• Lead the development and deployment of production-grade AI solutions using LLMs.
• Build and optimize Retrieval-Augmented Generation pipelines and multi-agent AI systems.
• Develop advanced prompt engineering strategies for AI model performance.
• Establish AI evaluation frameworks for model quality and performance.
• Design scalable MLOps pipelines covering model training and deployment.
• Implement best practices for model serving, observability, and governance.
• Architect cloud-native AI solutions with a focus on scalability and security.

Skills

Large Language Models (LLMs)

Generative AI

Retrieval-Augmented Generation (RAG)

Agentic AI and Multi-Agent Systems

Prompt Engineering

AI Evaluation and Model Validation

MLOps

Model Lifecycle Management

Model Serving

AI Observability

Enterprise AI Platform Architecture

Databricks

MLflow

Vector Databases

AI Governance

Responsible AI

cloud-native AI solutions

stakeholder management

communication

leadership skills

Job description

Job Description

Key Responsibilities

• Design and architect enterprise-scale AI and Generative AI platforms.
• Lead the development and deployment of production-grade AI solutions using Large Language Models (LLMs) and Generative AI frameworks.
• Build and optimize Retrieval-Augmented Generation (RAG) pipelines and multi-agent AI systems.
• Develop advanced prompt engineering strategies to improve AI model performance and business outcomes.
• Establish AI evaluation frameworks for model quality, accuracy, safety, and performance.
• Design scalable MLOps pipelines covering model training, deployment, monitoring, and lifecycle management.
• Implement model serving, observability, monitoring, and governance best practices.
• Architect cloud-native AI solutions with a focus on scalability, reliability, and security.
• Collaborate with cross-functional teams, business stakeholders, and engineering leaders to deliver AI-driven business solutions.
• Ensure compliance with enterprise AI governance, security, and Responsible AI standards.
• Provide technical leadership, architectural guidance, and mentorship to AI engineering teams.

Required Skills

• 8+ years of experience in AI/ML architecture and enterprise solution design.
• Strong expertise in:
• Large Language Models (LLMs)
• Generative AI
• Retrieval-Augmented Generation (RAG)
• Agentic AI and Multi-Agent Systems
• Prompt Engineering
• AI Evaluation and Model Validation
• Hands‑on experience designing and deploying production‑grade AI applications.
• Strong understanding of:
• MLOps
• Model Lifecycle Management
• Model Serving
• AI Observability
• Enterprise AI Platform Architecture
• Experience with Databricks, MLflow, and Vector Databases.
• Knowledge of AI Governance, Responsible AI, and enterprise security practices.
• Experience building cloud-native AI solutions on platforms such as AWS, Azure, or Google Cloud.
• Excellent stakeholder management, communication, and leadership skills.