AI Architect

Skill- AI Architect

Exp- 8+years

Location- Hyderabad

JD

Architecture & Design

• Architect end-to-end AI solutions using Gen AI, Agentic AI, LLMs, and multi-modal AI.
• Design intelligent agent systems using LangChain, LangGraph, Model Context Protocol (MCP), and Agent to Agent Protocols.
• Establish scalable and modular AI architectures that support RAG pipelines, Vector DBs, and Embeddings.
• Define and enforce AI governance frameworks, including Responsible AI, GuardRails, and compliance with AI Ethics & Regulations.

Assessment & Optimization

• Conduct technical assessments of existing AI/ML systems, models, and data pipelines.
• Identify gaps, risks, and opportunities for modernization or enhancement.
• Recommend architectural improvements and integration strategies for legacy systems.

Deployment & Integration

• Lead deployment of AI models using Docker, Kubernetes, and MLOps best practices.
• Integrate AI solutions with enterprise platforms and cloud-native services (Azure, AWS, GCP).
• Ensure performance, scalability, and security of deployed AI systems.

Leadership & Collaboration

• Collaborate with product owners, data scientists, engineers, and business stakeholders.
• Mentor engineering teams and contribute to talent development in AI and ML domains.
• Represent AI architecture in enterprise governance forums and technical councils.

Desired Candidate Profile