Agentic AI Integration Engineer (Remote)

• Partner directly with client stakeholders to understand business processes and operational challenges.
• Identify and prioritize high-value automation opportunities that reduce manual effort and improve business outcomes.
• Rapidly prototype AI solutions, gather client feedback, and iterate toward production-ready implementations.
• Present technical recommendations and solution approaches to both technical and business audiences.
• Deliver measurable business outcomes throughout client engagements.

• Collaborate with architects, engineers, delivery managers, and consultants to deliver enterprise AI solutions.
• Participate in solution architecture discussions, technical discovery sessions, and implementation planning.
• Perform peer code reviews and promote engineering best practices across project teams.
• Mentor fellow engineers on emerging AI technologies and integration patterns.
• Support sales and solution teams by providing technical expertise during client pursuits, demonstrations, and solution estimation.

• Bachelor's degree in Computer Science, Software Engineering, Information Systems, or equivalent practical experience.
• 5+ years of professional software engineering experience developing enterprise applications.
• 1+ years of hands-on experience designing, building, and deploying agentic AI systems.
• Experience working with multi-agent orchestration frameworks such as LangGraph, CrewAI, AutoGen, or similar technologies.
• Experience integrating commercial Large Language Models (LLMs) through model APIs.
• Strong experience with enterprise integration technologies including REST APIs, OAuth2, webhooks, workflow automation platforms, and iPaaS solutions.
• Experience designing scalable, secure production software solutions.
• Ability to quickly understand complex business processes and translate them into technical solutions.
• Excellent communication, consulting, and stakeholder management skills.
• Comfortable working independently while collaborating across cross-functional delivery teams.

• Hands-on experience with Adobe Workfront, including Workfront Fusion, Workfront APIs, and Custom Forms.
• Experience within marketing operations or content supply chain environments.
• Familiarity with Model Context Protocol (MCP) and AI tool integration standards.
• Experience with Adobe Experience Cloud technologies, including Adobe Experience Manager (AEM), Adobe Experience Platform (AEP), Adobe Journey Optimizer (AJO), or Adobe Analytics.
• Experience deploying AI solutions on Azure, AWS, or Google Cloud.
• Previous consulting or professional services experience delivering enterprise technology solutions.

The base salary range for this position is $160,000 – $210,000 annually .

Actual compensation may vary depending on experience, qualifications, geographic location, and other job-related factors.