GenAI Platforms Architect
19 hours ago
Job Title
GenAI Platforms Architect
Location
Bengaluru
Sector
Communication
Experience
6+ Years
Role Overview
We are seeking a highly skilled and innovative
GenAI Platforms Architect
to join our team in the Communication sector. In this role, you will be responsible for architecting, integrating, and implementing next-generation
Generative AI platforms
. You will play a key role in designing agentic workflows, leveraging frameworks like
LangGraph
, and leading
MCP (Multi-Channel Platform) server
deployments to deliver scalable, robust, and secure AI-driven solutions.
Key Responsibilities
- Architect, design, and implement Generative AI platform solutions with a focus on agentic workflows and multi-agent orchestration.
- Lead the deployment, integration, and management of MCP servers across enterprise environments.
- Apply hands-on expertise in LangGraph for building advanced agentic systems.
- Define and drive architecture standards, best practices, and governance models for GenAI implementations.
- Collaborate with cross-functional teams to align GenAI solutions with business and technical requirements.
- Ensure scalability, reliability, and security of AI solutions across enterprise-grade deployments.
- Stay updated with emerging trends in GenAI, LLMs, and AI orchestration frameworks to drive innovation.
Required Skills & Experience
- 6+ years of experience in AI/ML platform architecture, with a focus on Generative AI solutions.
- Strong expertise in designing agentic workflows and multi-agent orchestration.
- Hands-on experience with LangGraph or similar frameworks.
- Proven experience with MCP (Multi-Channel Platform) server deployment and integration.
- Solid background in cloud environments (AWS, Azure, GCP) for scalable AI solution deployment.
- Strong understanding of AI security, governance, and compliance practices.
- Excellent communication, leadership, and stakeholder management skills.
Good to Have
- Experience with LLM fine-tuning, vector databases, and RAG (Retrieval-Augmented Generation).
- Familiarity with enterprise communication solutions and AI-driven customer engagement systems.
- Exposure to DevOps/MLOps practices for continuous deployment of AI solutions.
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