AI Integration Engineer: Enterprise Workflows & Automation

Eliassen Group; New York (NY); Hybrid; USD 117,000 - 131,000; Full time

Benefits offered by this job

Medical

Dental

Vision

401k with company matching

Life insurance

Job summary

Eliassen Group is seeking a Senior AI Enablement Engineer to design, build, and operationalize AI-powered workflows across business functions. This hands-on role focuses on turning emerging AI capabilities into practical, production-ready solutions while partnering with non-technical teams to translate needs into working tooling.

The ideal candidate has deep software and integration engineering experience, strong stakeholder management, and a track record of delivering with enterprise platforms.

Qualifications

• 5+ years of software engineering or integration experience.
• 2+ years building integrations between SaaS or enterprise systems.
• Experience with APIs, OAuth, webhooks, and enterprise integration patterns.
• Practical experience building or implementing LLM-based AI tooling and workflows.
• Familiarity with MCP or similar agent-to-tool integration approaches.
• Experience with NetSuite, Workday, Salesforce, Zendesk, Ironclad, or similar systems.
• Strong DevOps fundamentals: CI/CD, IaC, secrets management, version control, monitoring.
• Understanding of data governance and security best practices.
• Excellent communication and stakeholder-management skills.

Responsibilities

• Design, build, and implement AI-enabled workflows and automation across business functions.
• Partner with stakeholders to identify workflows and determine where AI or tooling can improve processes.
• Build and maintain MCP and connector integrations between AI tooling and enterprise platforms.
• Develop integrations using APIs, OAuth, webhooks, and other patterns to connect SaaS and internal systems.
• Evaluate emerging AI tools and agent frameworks and determine appropriate business use cases.
• Prototype AI workflows and build reusable solutions and reference architectures.
• Support evaluation of third-party AI technologies with Security, Privacy, Legal, and others.
• Establish governance, security, monitoring, and operational standards for internal AI tools.
• Partner with cross-functional teams to move solutions from concept to production.
• Operate effectively in a fast-moving environment with evolving priorities.

Skills

Communication

Stakeholder management

Independent work

Problem solving

Tools

APIs

OAuth

Webhooks

CI/CD

Infrastructure as code

Version control

Monitoring & observability

NetSuite

Workday

Salesforce

Zendesk

MCP

Job description

Eliassen Group is seeking a Senior AI Enablement Engineer to design, build, and operationalize AI-powered workflows across business functions. This hands-on role focuses on turning emerging AI capabilities into practical, production-ready solutions while partnering with non-technical teams to translate needs into working tooling.

The ideal candidate has deep software and integration engineering experience, strong stakeholder management, and a track record of delivering with enterprise platforms.