Data Architect

Blufeather Solutions; Bengaluru; Remote; INR 3,000,000 - 5,400,000; Full time

Job summary

Blufeather Solutions is seeking an accomplished Data Architect with deep expertise in Agentic AI, MCP, and enterprise integration. You will design scalable AI-enabled architectures spanning data, applications, and knowledge tools.

The role emphasizes governance, observability, and secure API-first integration, across CRM/ERP and knowledge management, with strong collaboration with stakeholders to translate business needs into robust architectures.

Qualifications

• Proven experience in data/enterprise architecture with AI-driven system design.
• Hands-on with LLMs and multi-agent orchestration.
• Strong knowledge of API architectures and security best practices.

Responsibilities

• Design and implement enterprise-grade Agentic AI architectures leveraging LLMs and autonomous agents.
• Define patterns for Agent-to-Agent communication and collaboration across distributed AI ecosystems.
• Architect multi-agent workflows involving planning, reasoning, decision-making, and task execution.
• Establish governance, observability, and lifecycle management standards for AI systems.
• Design API-first integration architectures connecting AI agents with enterprise applications and data platforms.
• Develop strategies for integrating AI agents with CRM, ERP, Service Management, and Knowledge Management systems.
• Define event-driven, REST, GraphQL, and messaging-based integration patterns.
• Architect secure integration approaches using API gateways, authentication, and data protection standards.
• Design MCP-based architectures for seamless AI access to enterprise tools and data repositories.
• Develop MCP servers and client integration frameworks.
• Establish standards for tool discovery, context sharing, prompt orchestration, and capability exposure using MCP.
• Enable AI agents to interact with enterprise applications through MCP and API-based interfaces.

Skills

Data Architect

Agentic AI

LLMs

API architecture

Governance

Stakeholder management

Security best practices

Education

Bachelor's/Master's in CS/IT

Tools

LangChain

AutoGen

Semantic Kernel

Kafka

RabbitMQ

REST

GraphQL

API gateways

Job description

Role & responsibilities

Job Title: Data Architect

Location: Bangalore (Preferred) | Chennai, Gurgaon, Mumbai, Pune also considered

Experience: 8-14 Years

Employment Type: Full-Time but Remote

About the Role

We are looking for an experienced Data Architect with strong expertise in Agentic AI, enterprise integration, and Model Context Protocol (MCP) to design and drive next-generation AI-enabled architectures across the organization. The ideal candidate will bridge data architecture, AI agent orchestration, and enterprise systems integration to build scalable, secure, and intelligent solutions.

Key Responsibilities

AI & Agentic Architecture

• Design and implement enterprise-grade Agentic AI architectures leveraging LLMs, autonomous agents, orchestration frameworks, and AI copilots.
• Define patterns for Agent-to-Agent (A2A) communication and collaboration across distributed AI ecosystems.
• Architect multi-agent workflows involving planning, reasoning, decision-making, and task execution.
• Establish framework standards for AI agent governance, observability, and lifecycle management.

Integration Architecture

• Design API-first integration architectures connecting AI agents with enterprise applications and data platforms.
• Develop strategies for integrating AI agents with CRM, ERP, Service Management, Commerce, Supply Chain, and Knowledge Management systems.
• Define event-driven, REST, GraphQL, and messaging-based integration patterns.
• Architect secure integration approaches utilizing API gateways, authentication, authorization, and data protection standards.

MCP (Model Context Protocol) Enablement

• Design and implement MCP-based architectures for seamless AI access to enterprise tools, systems, and knowledge repositories.
• Develop MCP servers and client integration frameworks.
• Establish standards for tool discovery, context sharing, prompt orchestration, and capability exposure using MCP.
• Enable AI agents to interact with enterprise applications through MCP and API-based interfaces.

Required Skills & Experience

• Proven experience as a Data/Solution/Enterprise Architect with exposure to AI-driven system design.
• Hands-on understanding of LLMs, agentic frameworks (e.g., LangChain, AutoGen, Semantic Kernel, or similar), and multi-agent orchestration.
• Strong knowledge of API architecture REST, GraphQL, event-driven and messaging systems (Kafka, RabbitMQ, etc.).
• Experience integrating with enterprise platforms such as CRM, ERP, Service Management, Commerce, or Supply Chain systems.
• Practical exposure to Model Context Protocol (MCP) or similar tool-context integration standards.
• Solid grasp of API security authentication, authorization, API gateways, and data protection best practices.
• Experience defining governance, observability, and lifecycle management standards for AI systems.
• Strong stakeholder management and ability to translate business needs into scalable technical architecture.

Good to Have

• Prior experience with cloud platforms (AWS/Azure/GCP) for AI/data workloads.
• Familiarity with enterprise knowledge management and RAG-based systems.
• Certifications in cloud architecture or AI/ML specializations.

Qualifications

• Bachelor's/Master's degree in Computer Science, IT, or a related field.