Ai System Architect (Sarkhej)

Ai System Architect (Sarkhej)

06 Sep
|
IndiaNIC Infotech
|
Sarkhej

06 Sep

IndiaNIC Infotech

Sarkhej

Role Overview:
Key Responsibilities:
- Design and implement a scalable multi-agent (agentic swarm) architecture where agents specialize in distinct roles and collaborate dynamically.
- Develop and optimize customized RAG pipelines tailored for enterprise GRC use cases.
- Build modular agent frameworks allowing dynamic addition of new skills, roles, and tools.
- Architect memory-driven agent systems, including shared memory, long-term context retention, and vectorless or hybrid memory approaches.
- Enable interoperability with multiple AI models (open-source and proprietary). ensuring flexibility in model selection and deployment.
- Deploy and manage AI models across local, cloud, or hybrid environments with performance and cost optimization.
- Integrate AI-generated outputs into compliance systems (e.g., EasyCompliance), including automated evidence generation and embedding.
- Design orchestration layers for agent coordination, task routing, and workflow execution.
- Ensure security, data governance, and auditability in AI workflows, especially for GRC-related outputs.




- Collaborate with stakeholders to translate compliance requirements into AI-driven solutions.

Required Skills & Qualifications:
- Solid experience with LLMs, RAG architectures, and prompt engineering.
- Hands-on experience building or working with multi-agent systems (e.g., LangGraph, CrewAI, AutoGen, Semantic Kernel, or custom frameworks).
- Deep understanding of memory architectures in AI systems (vector databases, vectorless approaches, knowledge graphs, or hybrid memory systems).
- Experience deploying and managing open-source and commercial models (e.g., LLaMA, Mistral, GPT, Claude).
- Proficiency in Python and AI/ML frameworks (LangChain, Haystack, or similar).
- Experience with orchestration, distributed systems, and API design.
- Familiarity with embedding pipelines, retrieval systems, and document processing.
- Knowledge of containerization and deployment tools (Docker, Kubernetes).

Prefe

📌 Ai System Architect (Sarkhej)
🏢 IndiaNIC Infotech
📍 Sarkhej

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