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AI Integration Engineer

Summary

POSITION SUMMARY:

The AI Integration Engineer is a hands on technical role responsible for building, configuring, and deploying the AI solutions and integrations that power an enterprise technology capability. This role is focused on the engineering work itself: designing agents, building integrations, evaluating platforms, and shipping working solutions that embed organizational standards, content, and expertise into learning platforms, EHS software, compliance tools, and AI enabled applications.

Rather than scoping recommendations for others to build, the AI Integration Engineer sits embedded with the technical team, writing prompts, configuring agents, building integrations, and iterating quickly based on real feedback from how the solutions perform in production.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

Duties include but are not limited to:

Design, configure, and deploy AI agents and workflows across enterprise platforms, including Microsoft Copilot (M365/Teams), Salesforce Einstein or Agentforce, ChatGPT and/or Claude, hands on

Build and maintain integrations that embed organizational standards, content, and expertise into partner platforms such as learning management systems, EHS software, compliance tools, and enterprise dashboards

Write, test, and refine prompts and agent configurations, evaluate output quality, and assess the appropriate use case and platform for each application

Pilot, evaluate, and productionize new AI tools and automation opportunities, iterating quickly based on field feedback from internal teams

Establish and maintain technical governance, risk management, and operational readiness practices for AI solutions and enterprise integrations

Develop technical documentation, playbooks, and training resources that support internal AI fluency and repeatable implementation

Monitor emerging technologies and platform capabilities to identify new opportunities for integration and adoption

Troubleshoot and maintain deployed integrations, ensuring reliability, data integrity, and performance across connected systems

REQUIRED KNOWLEDGE/SKILLS/ABILITIES:

Hands on, working proficiency configuring enterprise AI agent platforms, specifically Microsoft Copilot (M365/Teams), Salesforce Einstein or Agentforce, ChatGPT and/or Claude, including agent configuration, prompt design, and output evaluation

Practical knowledge of AI concepts and applications, including retrieval, content intelligence, prompt orchestration, knowledge systems, and responsible AI use in mission driven environments

Strong understanding of how technology platforms, SaaS ecosystems, APIs, and content systems support enterprise level product and service delivery

Demonstrated ability to build working integrations end to end, from requirements through deployment and maintenance

Ability to evaluate integration models, vendor/platform fit, and technical feasibility

Strong project management and process design skills, with the ability to manage multiple builds concurrently

Data driven mindset with the ability to define KPIs, assess pilots, and recommend scalable solutions based on evidence

Proactive, adaptable, and comfortable working in ambiguity while helping define a new organizational capability

Remote position with the ability to work M through F during normal business hours; must be able to travel onsite 3 to 4 times per quarter, and may occasionally be expected to work outside normal business hours

REQUIRED EDUCATION AND EXPERIENCE:

Bachelor's degree in information technology, computer science, engineering, data/analytics, or a related field required. Master's degree preferred

2+ years of progressively responsible experience in hands on AI/technical implementation, such as forward deployed engineering, solutions engineering, integration engineering, or enterprise systems development

Demonstrated hands on experience deploying AI tools or automation in an organizational setting, including configuring agents or workflows and integrating them into business processes

Experience building and maintaining integrations across multiple platforms and systems

Experience working across both business and technical teams to deliver cross functional initiatives

Experience in a professional association, nonprofit, standards based, education, or mission driven organization preferred

KEY DETAILS:

POSITION TITLE: AI Integration Engineer

PAY RATE: $45 to $55 per hour

WORK ARRANGEMENT: Remote, with periodic travel to the Park Ridge, IL office 3 to 4 times per quarter

BENEFITS: LaSalle Network consultants are eligible to enroll in benefits. For details, visit ;/div>

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LNTS

LaSalle Network is an Equal Opportunity Employer m/f/d/v.

LaSalle Network is the leading provider of direct hire and temporary staffing services. For over two decades, LaSalle has helped organizations hire faster and connect top talent with opportunities, from entry-level positions to the C-suite. With units specializing in Accounting and Finance, Administrative, Engineering, Marketing, Technology, Supply Chain, Revenue Cycle, Call Center, Human Resources and Executive Search. LaSalle offers staffing and recruiting solutions to companies of all sizes and across all industries.

LaSalle Network is the premier staffing and recruiting firm, earning over 100 culture, revenue and industry-based awards from major publications and having its company experts regularly contribute insights on retention strategies, hiring trends and hiring challenges, and more to national news outlets. LaSalle Network offers temporary Field Employees benefit plans including medical, dental and vision coverage. Family Medical Leave, Worker's compensation, Paid Leave and Sick Leave are also provided.

View a full list of our benefits here:

All assignments are at-will and their duration is subject to change.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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AI Integration Engineer

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