Generative AI Solutions Architect

Job Title : Agentic AI Engineer

Location : Hyderabad - Onsite

Role Overview :

As an AI Systems Engineer, you will be responsible for designing, developing, and deploying intelligent, agent-driven AI systems within the healthcare sector, with a focus on enterprise-grade applications. Utilizing frameworks such as LangChain and LangGraph, you'll build autonomous agents to enhance decision-making, optimize workflows, and orchestrate intelligent services—all while ensuring compliance in a regulated environment.

Key Responsibilities :

• Architect and build autonomous AI agents using LangChain, LangGraph, or other relevant frameworks.
• Develop multi-agent workflows tailored to enterprise use cases, including data retrieval, task automation, and reasoning.
• Implement Retrieval-Augmented Generation (RAG) pipelines using vector databases (e.G., Pinecone, FAISS) and prompt chaining.
• Integrate Large Language Models (LLMs) for generative tasks, applying fine-tuning, safety guardrails, and memory systems as needed.
• Create Python-based microservices and APIs to facilitate agent interactions, inference, and orchestration.
• Deploy AI solutions using containerization technologies (Docker, Podman) and cloud-native infrastructures.
• Implement telemetry, observability, and governance measures, including model evaluation, bias testing, and safety checks.
• Collaborate closely with Data Science, MLOps, and Product teams to ensure the successful delivery of scalable AI solutions.
• Adhere to enterprise AI governance standards, including data privacy, compliance, and security protocols.

Experience & Qualifications :

Preferred Qualifications :