Java Senior Lead/Associate Architect Java MCP

Tavant; Dadri; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Tavant is seeking an experienced professional to contribute to MCP servers and agentic AI architectures. The role emphasizes secure, compliant handling of LLM queries, multi-agent interoperability, and governance within FinTech/PropTech GIS contexts.

You will work on building and securing MCP layers, token authentication, and zero-trust boundaries for external code, ensuring data privacy and telemetry-driven oversight.

Qualifications

• Proven experience building or contributing to MCP servers and agentic AI architectures.
• Hands-on experience with multi-agent systems using open-source protocols (A2A, ACP, MCP).
• Ensure LLM queries routed through MCP layer meet data privacy rules with telemetry.
• Implement granular token authentication and zero-trust boundaries for external code.
• Industry domain exposure in FinTech, PropTech, GIS, or mortgage/real estate modeling.

Skills

MCP & Agentic AI Expertise

Agentic Interoperability

Data Security & Governance

Security & Compliance Mindset

FinTech/PropTech GIS exposure

Tools

Java

Spring

Spring Boot

Angular

XSLT

MongoDB

PostgreSQL

GraphQL

ApigeeX

Job description

Java, Spring, Spring Boot, Angular, XSLT, MongoDB, PostgreSQL, GraphQL and ApigeeX

MCP & Agentic AI Expertise:

• Proven experience building, deploying, or contributing to custom Model Context Protocol (MCP) servers and agentic AI architectures.
• Agentic Interoperability: Demonstrated hands-on experience building multi-agent systems, particularly using open-source agent protocols (A2A, ACP, or MCP).
• Data Security & Governance: Ensure all LLM queries routed through the MCP layer comply with strict enterprise data privacy rules, utilizing built-in telemetry to track usage and prevent data leaks.
• Security & Compliance Mindset: Expertise in implementing granular token authentication and designing secure "zero-trust" boundaries for external code executions.
• Industry Domain (Preferred): Background in FinTech, PropTech, GIS (Geospatial Information Systems), or quantitative mortgage/real estate modeling.