Integration Engineer - AI Agentic Solutions - Remote

NTT DATA is a business and technology services leader, and they are seeking an experienced Integration Engineer to design, implement, and maintain integrations for AI Agentic solutions. The role focuses on connecting AI agents with enterprise applications to deliver end-to-end intelligent automation solutions.

Responsibilities:

• Design, develop, and maintain integrations between AI agents and enterprise systems
• Build secure, scalable APIs and event-driven integrations
• Integrate AI agent workflows with business applications, data platforms, and cloud services
• Collaborate with AI engineers, platform teams, and solution architects
• Ensure high availability, reliability, and performance of integration layers
• Enable communication between autonomous and semi-autonomous AI agents
• Integrate LLM-based agents with tools, APIs, and external services
• Support agent orchestration, human-in-the-loop workflows, and decision pipelines
• Implement observability, logging, and traceability for agent interactions
• Ensure secure data exchange, authentication, and authorization
• Implement best practices for data privacy and access control
• Support auditability and governance requirements for AI-driven workflows

Requirements:

• 5+ years of experience in integration engineering or middleware development
• Experience integrating complex distributed systems
• Strong understanding of system design, APIs, and data formats (JSON, XML)
• Experience working in Agile and DevOps environments
• Strong experience with REST, GraphQL, and event-driven APIs
• Experience with messaging and streaming platforms (Kafka, SNS/SQS, RabbitMQ)
• Familiarity with AI/ML and GenAI systems integration (LLMs, RAG pipelines)
• Experience with cloud platforms (AWS, Azure, or GCP)
• Proficiency in at least one programming language such as Python, Java, or Node.js
• Ensure secure data exchange, authentication, and authorization
• Implement best practices for data privacy and access control
• Support auditability and governance requirements for AI-driven workflows
• Experience with AI agent frameworks or orchestration platforms
• Familiarity with MLOps, CI/CD, and Infrastructure as Code
• Exposure to enterprise integration platforms or iPaaS solutions