Integration Engineer - AI Agentic Solutions - Remote

NTT DATA • Dallas, TX

7d • Remote

About The Position

We are seeking an experienced Integration Engineer to design, implement, and maintain integrations for AI Agentic solutions. The role focuses on connecting AI agents, LLM-based systems, and multi-agent orchestration platforms with enterprise applications, data sources, and external systems to deliver end-to-end intelligent automation solutions.

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.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration abilities.
• Ability to translate business needs into technical integrations.

Nice To Haves

• 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.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees