Agentic AI Architect

Visionet Systems Inc.; Bengaluru; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Visionet Systems Inc. is seeking a Senior Agentic AI Architect based in Bengaluru, Karnataka, to lead the design of an enterprise Agentic AI platform. This role involves defining the architecture, developing reusable frameworks, and establishing orchestration patterns for complex systems. Ideal candidates will have strong expertise in Generative AI, hands-on experience with various agent frameworks, and proficiency in Python or TypeScript. Responsibilities include building governance frameworks and evaluating AI platforms to enable reliable and explainable AI solutions.

Qualifications

• Proven track record in developing enterprise AI solutions.
• Strong hands-on expertise in Generative AI technologies.
• Experience designing frameworks for AI governance.

Responsibilities

• Define end-to-end architecture for multi-agent systems.
• Design reusable agent frameworks and SDKs.
• Establish orchestration patterns for multi-agent coordination.
• Build frameworks for agent governance and policy enforcement.
• Evaluate and leverage platforms for AI development.

Skills

Strong expertise in Generative AI

Experience with agent frameworks

Deep understanding of multi-agent architectures

Proficiency in Python or TypeScript

Experience with cloud platforms

Knowledge of RAG and vector databases

Experience designing scalable architectures

Understanding of AI governance

Model evaluation and performance optimization

Job description

Role Summary

We are looking for a Senior Agentic AI Architect to design and build a next-generation enterprise Agentic AI platform and solutions powering hundreds of users and complex multi-agent workflows. This role goes beyond LLM integration—you will define agentic architecture, orchestration patterns, governance frameworks, and enterprise-scale deployment strategies to enable autonomous, reliable, and explainable AI systems. You will work closely with product, engineering, and business stakeholders to transform AI from experimentation to production-grade, business-critical systems.

Responsibilities

• Define end-to-end architecture for multi-agent systems (hierarchical, collaborative, autonomous agents)
• Design reusable agent frameworks, templates, and SDKs
• Establish agent orchestration patterns (planner-executor, tool-using agents, multi-agent coordination)
• Design agent control planes (task routing, agent selection, execution flows)
• Define patterns for: Human-in-the-loop, Agent supervision & escalation, Multi-agent negotiation & collaboration
• Build and deploy frameworks for Agent governance & policy enforcement
• Define metrics for: Agent accuracy, latency, cost, and success rate
• Design Context window optimization strategies, Dynamic context injection, Memory pruning & summarization
• Define agent interaction paradigms: Conversational UX, Task-driven workflows
• Evaluate and leverage platforms like Azure AI Foundry / AWS Bedrock / Google Vertex AI / Langgraph

Skills & Qualifications

• Strong expertise in Generative AI, LLMs, and Agentic AI systems
• Hands-on experience with agent frameworks (Microsoft Foundry agent, CrewAI, Google ADK, Langgraph)
• Deep understanding of multi-agent architectures and orchestration patterns
• Proficiency in Python and/or TypeScript for AI system development
• Experience with cloud platforms (Azure, AWS, or Google Cloud) and AI services
• Knowledge of RAG, vector databases, and context engineering techniques
• Experience designing scalable, distributed, and microservices-based architectures
• Strong understanding of AI governance, guardrails, and responsible AI practices
• Experience with model evaluation, performance optimization, and monitoring
• Ability to translate business requirements into enterprise-grade AI solutions