Agentic AI Integration Engineer (Remote)

Blue Acorn iCi•,

1d•$160,000 - $210,000•Remote

About The Position

Blue Acorn iCi is seeking an Agentic AI Integration Engineer to join our AI & Emerging Technology practice. This hands-on engineering role is responsible for designing, building, and deploying production-ready agentic AI systems that automate complex enterprise workflows. Working alongside client stakeholders and cross-functional delivery teams, this individual will identify high-value automation opportunities, rapidly prototype intelligent solutions, and deliver scalable multi-agent systems that integrate seamlessly with enterprise platforms. The initial focus for this role will be marketing operations and work management, leveraging technologies such as Adobe Workfront, AI orchestration frameworks, and enterprise APIs to improve campaign execution, approvals, reporting, and operational efficiency.

Requirements

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.
Must have unrestricted authorization to work in the United States without the need for employer sponsorship now or in the future.

Nice To Haves

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.

Responsibilities

Design, develop, and deploy production-ready AI agents and multi-agent systems that automate enterprise business workflows.
Build reusable agent frameworks, orchestration patterns, and integration components that accelerate future client implementations.
Own the full software development lifecycle from proof of concept through production deployment.
Implement evaluation frameworks, guardrails, observability, and error handling for production AI systems.
Stay current with emerging AI models, orchestration frameworks, and agent technologies, incorporating new capabilities where they provide measurable business value.
Integrate AI agents with enterprise platforms through REST APIs, webhooks, OAuth2, and workflow automation technologies.
Design scalable approval workflows, routing logic, notifications, and intelligent automation supporting enterprise marketing operations.
Assess existing client workflows and identify opportunities to improve efficiency through intelligent automation.
Design secure, scalable integrations capable of supporting enterprise production workloads.
Develop reusable integration patterns that simplify future client implementations.
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.