IndiaNIC Infotech - AI Systems Architect - GRC Platform

Description :

AI Systems Architect - Multi-Agent & RAG Platforms

Role Overview :

We are seeking an experienced AI Systems Architect to design and build an advanced, scalable AI platform leveraging customized Retrieval-Augmented Generation (RAG) and multi-agent (agentic swarm) architectures. The ideal candidate will lead the development of intelligent, modular AI agents capable of collaborative problem-solving across Governance, Risk, and Compliance (GRC) domains, with seamless integration into compliance platforms such as EasyCompliance.

Key Responsibilities :

- 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 :

- Strong 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).

Preferred Qualifications :

- Experience with GRC platforms, compliance automation, or audit systems.

- Understanding of knowledge graphs and structured reasoning systems.

- Experience building tool-using agents (function calling, plugins, external integrations).

- Familiarity with vector databases (FAISS, Pinecone, Weaviate) and alternatives.

- Background in system architecture for enterprise-grade AI platforms.

- Exposure to security, risk, and compliance frameworks (ISO, SOC2, NIST).

Key Deliverables :

- Fully functional multi-agent AI system with expandable roles and capabilities.

- Production-ready RAG pipeline integrated with GRC workflows.

- Memory-enabled agent ecosystem with shared and persistent context.

- AI-powered compliance evidence generation integrated into EasyCompliance.

- Scalable deployment architecture supporting multiple AI models.

Nice-to-Have Traits :

- Strong problem-solving mindset with a systems-thinking approach.

- Ability to work in fast-evolving AI environments and evaluate new tools quickly.

- Experience in building extensible AI platforms rather than single-use solutions.