AI Implementation Specialist
At a glance
Mid-level Solutions & Sales Engineering role at Scale Army. Remote, Egypt · contract.
Pay not stated
growthroles summary, based on the employer's posting.
What you'll do
- Connect AI platforms with the ERP, SQL database, and reporting systems
- Build workflows that replace manual data handling and speed up internal reporting
- Find repetitive reporting processes and turn them into practical system automations
- Assess AI tools against the existing stack and business objectives
- Work with IT and process stakeholders to prioritize integrations and future agentic workflows
What you bring
- Mid-level experience backed by a solid software engineering or technical foundation
- Hands-on delivery of integrations spanning ERP systems, databases, and reporting tools
- Practical experience using AI platforms and linking multiple systems through automation
- Working familiarity with SQL plus business intelligence and reporting tools
- A record of applied implementation work rather than purely theoretical AI knowledge
Who this fits
You’ll suit this role if you build practical integrations and automations instead of developing AI models from scratch. The contract position is remote and open to candidates in LATAM, Africa, and Eastern Europe, with Cairo listed as the location. You must work during U.S. business hours matching the client’s time zone and complete an application form plus a skills-focused video.
From the employer
This role is open to candidates based in LATAM, Africa, and Eastern Europe. Please note that as this role supports U.S.-based clients, candidates must be available to work during U.S. business hours aligned with the client’s time zone.
The AI Implementation Specialist will help automate manual data processes and accelerate reporting across the business.
This role will focus on connecting existing systems and building practical automation workflows rather than building new AI models from scratch. The AI Implementation Specialist will connect the company’s ERP, database, and reporting tools with modern AI capabilities to reduce manual work and speed up access to data across departments.
The immediate priority is improving reporting efficiency and integrating core systems, with more advanced agentic AI workflows as a secondary, longer-term goal.
Key Responsibilities
Systems Integration & Automation
Connect AI tools and platforms to existing business systems, including the ERP, database, and reporting tools.
Build automated workflows that reduce manual data handling and reporting work.
Identify manual and repetitive data processes and design practical automation solutions.
Build integrations and automations that connect multiple systems.
Reporting Efficiency
Improve the speed and reliability of internal reporting to better serve departments across the business.
Build workflows that reduce the volume of reporting requests handled manually by IT.
Improve access to data for departments across the business.
AI Tools & Implementation
Evaluate and recommend AI tools and platforms suited to the business’s technology stack and goals.
Apply AI tools and platforms to practical system integration and automation needs.
Lay the groundwork for more advanced agentic AI workflows over time.
Collaboration
Work closely with IT and business process stakeholders to prioritize and implement integrations.
Qualifications
Experience
Mid-level experience with a strong underlying technical/software engineering background.
Proven experience integrating systems such as ERP platforms, databases, and reporting tools.
Practical, hands-on experience with AI tools and platforms.
Experience building automation workflows that connect multiple systems.
Experience with ERP platforms and SQL-based databases is a plus.
Experience with business intelligence and reporting tools is a plus.
Experience supporting IT and business process teams in a collaborative capacity is a plus.
Applied experience connecting systems and building automation rather than purely theoretical AI knowledge.
Skills
Ability to connect AI tools and platforms with ERP, database, and reporting systems.
Ability to identify manual and repetitive data processes and develop automation solutions.
Ability to evaluate and recommend AI tools and platforms based on the existing technology stack and business goals.
Familiarity with SQL as a database technology.
Familiarity with business intelligence and reporting tools.
Ability to work with IT and business process stakeholders.
Technical Environment
ERP system used as the core business system for operations data.
SQL as the primary database technology.
Business intelligence and reporting tools used for internal reporting and dashboards.
AI platforms are tool-agnostic, with the priority placed on selecting appropriate AI solutions for integration and automation across the existing stack.
What Success Looks Like
Within the first 30 and 90 days, the goal is to reduce manual reporting and data work by connecting AI to existing systems and automating key workflows.
The intended workflow is:
Manual Reporting Request → System Integration → Automated Workflow → Faster Data Access → Reduced IT Bottleneck
Success means:
Measurably improving reporting speed.
Reducing manual workload.
Reducing the burden created by high volumes of manual reporting requests handled by IT.
Speeding up data access for departments.
Establishing integrations and automations across existing systems.
Laying a strong foundation for more advanced AI automation.
Application Process:
To be considered for this role these steps need to be followed:
Fill in the application form
Record a video showcasing your skill sets
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