Agentic AI Solution Architecture

Job description:

Agentic AI Solution Architecture

Job Description: Agentic AI QE Architect

Experience: 12 to 15 Years

Location: Hyderabad

Role Type: Individual Contributor / Solution Architect

We are seeking a GenAI Architect with hands-on experience in designing and implementing custom GraphRAG solutions. The candidate will play a key role in architecting GenAI-driven solutions and applying them to Quality Engineering (QE) and testing-related use cases.

QE domain experience is desirable but not mandatory. We are primarily looking for a strong GenAI practitioner with the right attitude, problem-solving mindset, and a solid understanding of RAG/GraphRAG architectures.

Key Responsibilities:

Design and develop enterprise-scale GenAI solutions.

Architect and implement custom GraphRAG frameworks for complex business problems.

Build and optimize knowledge graphs, retrieval pipelines, and LLM-powered applications.

Define end-to-end GenAI architecture including data ingestion, indexing, retrieval, orchestration, and observability.

Collaborate with QE teams to apply GenAI capabilities to testing and quality engineering scenarios.

Evaluate and recommend appropriate GenAI technologies, frameworks, and tools.

Required Skills :

Strong understanding of LLMs, RAG, and GenAI architectures.

Hands-on experience implementing custom GraphRAG solutions.

Experience with knowledge graphs and graph databases (e.g., Neo4j or equivalent).

Experience with vector databases and retrieval systems.

Ability to design scalable AI solution architectures.

Strong problem-solving and communication skills.