Data Architect

Xoriant

10 - 15 years

12 - 17 Lacs

Mumbai Hyderabad Pune

Posted:5 hours ago| Platform:

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Skills Required

Engineering services Computer science Backend orchestration Data modeling Master data management Artificial Intelligence HIPAA Stakeholder management Recruitment

Work Mode

Work from Office

Job Type

Full Time

Job Description

Design and implement enterprise-grade data architectures.
Lead data modeling, governance, metadata management, data lineage, and master data management initiatives.
Define scalable data solutions to support real-time inference, and autonomous agent systems.
Architect and deploy end-to-end pipelines that support AI/ML workloads, including data ingestion, feature engineering, and model lifecycle management.
Collaborate with AI research and product teams to operationalize GenAI models (e.g., LLMs, SLM and knowledge graphs) and integrate them into business workflows.
Implement and scale retrieval-augmented generation (RAG) and fine-tuning frameworks in production environments, as well as knowledge graphs.
Multi-Agent Agentic AI Systems
Design data platforms that support multi-agent systems, ensuring seamless orchestration, communication, and memory management among agents.
Architect data flow and backend systems to support agentic workflows such as task decomposition, context switching, and reinforcement feedback loops along with knowledge graphs.
Leverage frameworks like LangChain, Langgraph, AutoGen, CrewAI, or similar to build and manage autonomous and collaborative agents.
Must have exposure to feedback loop design and development for Multiagent or agentic frameworks.

Key skills you will require:

Primary Skills

Bachelor’s or master’s degree in computer science, Data Science, Engineering, or related field.
Strong hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn).
Proven track record of working with Generative AI models , LLMs (e.g., GPT, Claude, LLaMA), and orchestration frameworks (LangChain, LlamaIndex, Langgraph).
Knowledge and exposure to multi-agent frameworks (e.g., CrewAI, AutoGen, ReAct, CAMEL) and agentic AI design principles .
Solid understanding of data governance , security, and compliance frameworks (GDPR, HIPAA, etc.).
Excellent communication, leadership, and stakeholder management skills.

Preferred Qualifications:

Experience building production-grade agentic systems with adaptive learning and decision-making capabilities .
Familiarity with knowledge graphs, semantic search , and advanced RAG pipelines.
Certifications in cloud platforms or AI/ML specializations (e.g., AWS Certified Data Analytics, Google ML Engineer).

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