GenAI Cloud Manager

Visioncraft; Delhi; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Visioncraft is seeking experienced AI, GenAI, Agentic AI, and Cloud leaders at Manager/Director levels to steer enterprise AI strategy, architecture, and delivery. You will apply expertise in AI/ML, LLMs, RAG, and Python to design scalable solutions and lead client engagements.

The role demands strong technical leadership, governance knowledge, and hands-on delivery excellence across architecture and solution delivery in enterprise environments.

Qualifications

• 9+ years of technology experience with AI/ML and modern platforms.
• Strong expertise in AI/ML and Generative AI solutions and enterprise implementations.
• Strong experience in Enterprise LLM Architecture and production-grade AI solutions.
• Strong understanding and experience with Agentic AI Architecture.
• Expertise in RAG and Enterprise Knowledge Architecture.
• Strong experience in Cloud Architecture, preferably Google Cloud Platform (GCP).
• Strong software engineering background with hands-on understanding of Python.
• Strong understanding of AI Governance and Responsible AI principles.
• Proven experience in Solution Architecture, Technical Leadership, and Delivery Management.
• Strong client-facing experience, stakeholder management, and communication skills.

Skills

AI/ML expertise

Generative AI

LLM architecture

Agentic AI

RAG knowledge

GCP cloud

Python

Responsible AI

Solution architecture

Technical leadership

Delivery management

Client-facing

Tools

Vertex AI

Gemini

BigQuery

GKE/Kubernetes

Terraform

OpenAI Agents SDK

LangGraph

Job description

Job Summary : We are looking for experienced AI, GenAI, Agentic AI & Cloud leaders at Manager and Director levels to drive enterprise AI strategy, architecture, innovation, and delivery. The role requires strong expertise in AI/ML, Generative AI, LLMs, Agentic AI, RAG, Cloud Architecture, and Python, combined with proven technical leadership and client-facing experience.

Must-Have Skills :

• 9+ years of overall technology experience with strong exposure to AI/ML and modern technology platforms.
• Strong expertise in AI/ML and Generative AI solutions and enterprise implementations.
• Strong experience in Enterprise LLM Architecture and production-grade AI solutions.
• Strong understanding and experience with Agentic AI Architecture.
• Expertise in RAG and Enterprise Knowledge Architecture.
• Strong experience in Cloud Architecture, preferably Google Cloud Platform (GCP).
• Strong software engineering background with hands-on understanding of Python.
• Strong understanding of AI Governance and Responsible AI principles.
• Proven experience in Solution Architecture, Technical Leadership, and Delivery Management.
• Strong client-facing experience, stakeholder management, and communication skills.

Good-to-Have Skills :

• Hands-on experience with Vertex AI.
• Experience with Gemini and other foundation models.
• Strong knowledge of BigQuery.
• Experience with GKE / Kubernetes.
• Hands-on experience with Terraform and infrastructure automation.
• Experience with LangGraph, Google ADK, or OpenAI Agents SDK.
• Knowledge of MCP / A2A protocols and agentic architectures.
• Experience with MLOps / LLMOps and AI deployment lifecycle management.
• Strong understanding of AI Security and enterprise AI risk management.
• Experience implementing AI Observability and monitoring frameworks.
• Experience building and deploying Enterprise Copilots.
• Knowledge of Knowledge Graphs and enterprise knowledge systems.
• Experience with Multimodal AI solutions.
• Understanding of Intelligent Process Automation and AI-driven business process transformation. .