AI Architect / AI Lead (9+ Years) Role Overview

We are seeking an experienced AI Architect / AI Lead to define enterprise AI strategy, architect scalable AI ecosystems, and lead organization-wide AI transformation initiatives across AI/ML, Gen AI, and Agentic AI domains.

Key Responsibilities
Define and drive enterprise AI architecture and platform strategy.
Architect scalable AI/ML, Gen AI, and Agentic AI platforms.
Design enterprise multi-agent ecosystems and AI orchestration frameworks.
Establish AI engineering standards, governance, observability, and security practices.
Lead implementation of enterprise-grade AI platforms, copilots, and autonomous systems.
Define AI platform scalability, resiliency, and deployment standards.
Evaluate emerging AI technologies, frameworks, and infrastructure solutions.
Mentor AI engineers and provide technical leadership across programs.
Collaborate with leadership, business stakeholders, and enterprise architects.

Required Skills
9+ years of experience in AI/ML engineering, platform engineering, or enterprise architecture.
Robust expertise in enterprise AI architecture and distributed systems design.
Proven experience building scalable Gen AI and Agentic AI platforms.




Deep understanding of LLM ecosystems, RAG architectures, vector databases, and orchestration systems.
Strong understanding of MCP, multi-agent architectures, and enterprise AI interoperability patterns.
Experience with LLMOps, AI observability, tracing, monitoring, evaluation frameworks, and governance.
Expertise with frameworks such as LangChain, LangGraph, CrewAI, or AutoGen.
Experience designing scalable APIs and enterprise AI platforms using FastAPI and/or Flask.
Robust expertise in cloud-native architecture across Azure, AWS, or GCP.
Experience with Kubernetes, container platforms, DevOps, and enterprise-scale deployments.
Robust stakeholder management, technical leadership, and solutioning capabilities.

Preferred Skills
Experience establishing AI CoE (Center of Excellence) practices.
Exposure to AI governance and compliance frameworks.
Experience with hybrid cloud and enterprise AI modernization initiatives.
Knowledge of multi-modal AI systems and advanced reasoning architectures.

Education
Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field.

📌 Ai Architect / Ai Lead Bengaluru
🏢 TRIGENT SOFTWARE PRIVATE
📍 Bengaluru