Job Openings at Promasidor

Introduction & Context

• Promasidor produces, distributes and markets a quality range of products in over 30 countries across the continent, reaching millions of consumers (more information available on our corporate web site here).
• Promasidor's IT Department (called PICT) is structured in 6 units with team members based across our main offices in Algeria, Angola, DRC, Nigeria, Ghana and South Africa:
• ERP: is responsible for everything related to our group ERP (Microsoft Dynamics Business Central) such as deployment, support & maintenance as well as functionality enhancements.
• GTM (Go-To-Market): is responsible for our Sales Force Automation (mobile) solution (internally built), used by over 2,000 users in 18 African countries.
• IS (Information Systems): is responsible for all business systems other than ERP and GTM (e.g.
• Business Process Management System for HR and other processes, Helpdesk ticketing solution, OEE for production efficiency, Quality Management System etc).
• BID (Business Intelligence Design): is responsible for the creation and maintenance of our reporting and analytics, mainly using Microsoft Power BI across all our business systems.
• OPS (Operations): is responsible for the infrastructure foundation for all the other units (physical and cloud, networking & connectivity, computers and other hardware devices) as well as productivity and collaboration tools (Emails, Microsoft Office & Teams, AI etc).
• Overview of the PICT organisation & reporting structure:

Job Purpose & Objectives

• Promasidor is accelerating responsible and practical AI adoption across its operations and seeks to create an AI unit comprising of AI Engineers and Analysts.
• The AI Engineer role is responsible for building, deploying, and maintaining AI solutions that integrate seamlessly with core Business Systems such as ERP (Business Central), GTM, IS, BI and internal applications.
• This role works closely with ERP, GTM, IS, BI, AI and Infrastructure teams to ensure AI capabilities are secure, scalable, reusable, and production ready.
• The role of AI Engineer can be performed: at four levels of seniority - Junior, Associate, Senior, and Lead - based on competencies, experience and performance. While each level has variations in the job description, all share the same overall characteristics described in this document.

Key Responsibilities & Activities

AI Engineering & Development

• Design and develop AI/ML models, LLM-based solutions, and RAG pipelines
• Build reusable AI services and APIs for integration into ERP, GTM, BI, and IS systems
• Deploy and manage AI workloads across cloud platforms (Azure, AWS, GCP as standardised)
• Implement prompt engineering, model tuning, and inference optimisation

Data & Platform Engineering

• Design and maintain data pipelines supporting AI use cases
• Work with BI, ERP, and GTM teams to integrate AI with enterprise data sources
• Ensure data security, access control, and compliance with AI usage policies

Collaboration & Integration

• Partner with ERP, GTM, IS, and BI engineers to embed AI into business workflows
• Support domain teams in consuming AI services correctly and safely
• Participate in architectural decisions to avoid duplicated AI stacks

Operations & Governance

• Monitor and optimise AI performance, cost, and reliability
• Maintain model lifecycle management (versioning, retraining, retirement)
• Enforce responsible AI, security, and privacy standards
• Implement MLOps practices to automate the deployment, monitoring, and retraining of models to ensure production stability

Testing & Fixing

• Perform unit testing, troubleshoot, and debug your own code during the development phase.
• Resolve software issues promptly during system tests and user acceptance testing (UAT) phases.
• Address software issues in production/live environments based on prioritized importance and urgency, aligned with your line manager.
• Technical Enablement & Knowledge Transfer
• Partner with the AI Analyst to create technical documentation that explains model logic, limitations, and data origins to build user trust in AI outputs.
• Provide technical support for domain teams (ERP, GTM, IS, BI) to ensure they can consume and integrate AI services correctly and safely.
• Ensure that AI interfaces (APIs or embedded UI elements) are designed with a focus on ease of use and production readiness to minimize technical barriers to adoption.
• Maintain the model lifecycle to ensure that as business needs evolve, the solutions remain relevant, accurate, and reliable for the end-user.

Personal Development

• Continuously stay updated and enhance your knowledge about the tools and technologies used within your unit.
• Stay informed about the evolution of emerging technologies and industry trends.

Key Competencies Requirements

Should Have

• Strong software engineering skills (Python preferred)
• Experience with Prompt Engineering
• Experience with cloud platforms (Azure, AWS, or GCP)
• Experience building APIs and integrating services
• Familiarity with ML/LLM concepts and data pipelines
• Experience with OpenAI, Azure ML, Gemini, or similar platforms
• Experience with RAG (Retrieval-Augmented Generation) architectures
• Experience with Vector Database Management (e.g., Pinecone, Weaviate) to support RAG pipelines
• Experience deploying AI models into production
• Knowledge of data security and governance principles
• Experience with FMCG, manufacturing, or supply chain systems

Job Requirements: Personal Attributes

• Attention to detail and commitment to quality.
• Strong work ethic and reliability.
• Adaptability and continuous learning.
• Initiative and proactivity.
• Resilience under pressure and ability to meet deadlines.
• Effective communication and teamwork.

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Introduction & Context

• Promasidor produces, distributes and markets a quality range of products in over 30 countries across the continent, reaching millions of consumers (more information available on our corporate web site here).
• Promasidor's IT Department (called PICT) is structured in 6 units with team members based across our main offices in Algeria, Angola, DRC, Nigeria, Ghana and South Africa:
• ERP: is responsible for everything related to our group ERP (Microsoft Dynamics Business Central) such as deployment, support & maintenance as well as functionality enhancements.
• GTM (Go-To-Market): is responsible for our Sales Force Automation (mobile) solution (internally built), used by over 2,000 users in 18 African countries.
• IS (Information Systems): is responsible for all business systems other than ERP and GTM (e.g. Business Process Management System for HR and other processes, Helpdesk ticketing solution, OEE for production efficiency, Quality Management System etc).
• BID (Business Intelligence Design): is responsible for the creation and maintenance of our reporting and analytics, mainly using Microsoft Power BI across all our business systems.
• OPS (Operations): is responsible for the infrastructure foundation for all the other units (physical and cloud, networking & connectivity, computers and other hardware devices) as well as productivity and collaboration tools (Emails, Microsoft Office & Teams, AI etc).
• Overview of the PICT organisation & reporting structure:

Job Purpose & Objectives

• Promasidor is accelerating responsible and practical AI adoption across its operations and seeks to create an AI unit comprising of AI Engineers and Analysts.
• The AI Analyst role is responsible for bridging business needs and AI capabilities. This role ensures that AI solutions address real operational problems, are built on fit-for-purpose data, and deliver measurable business value across functions such as Supply Chain, Finance, HR, Sales, and Operations.
• This role works closely with business stakeholders and technical teams (ERP, GTM, BI, IS, AI) to translate requirements into actionable AI use cases.
• The role of AI Analyst can be performed:
• at four levels of seniority - Junior, Associate, Senior, and Lead - based on competencies, experience and performance. While each level has variations in the job description, all share the same overall characteristics described in this document.

Key Responsibilities & Activities

Business & Use Case Analysis

• Engage stakeholders to identify and prioritise AI opportunities
• Define AI use cases aligned to business outcomes (cost, efficiency, growth)
• Translate business questions into data and model requirements

Data Readiness

• Assess data availability, quality, and gaps for AI initiatives
• Work with Business System owners to define data preparation needs

Insight & Value Realisation

• Interpret AI model outputs into actionable insights
• Support decision-makers in using AI-driven recommendations
• Track benefits and performance of AI solutions post-deployment
• Define and measure Key Performance Indicators (KPIs) and ROI for each AI initiative to demonstrate business impact to the Steering Committee

Collaboration & Enablement

• Act as the primary interface between AI Engineers and business teams
• Support ERP, GTM, IS teams in embedding AI insights into workflows
• Drive adoption and value realisation from AI solutions
• Testing, Validation & Continuous Improvement
• Validate AI outputs against business logic and expectations
• Coordinate and lead UAT phases, translating technical issues into actionable feedback for the AI Engineering team.
• Promptly identify and document "hallucinations" or inaccuracies in AI responses during system tests to ensure reliability before production.
• Monitor live AI performance to identify drift or declining accuracy, prioritizing fixes based on business impact and urgency in coordination with line management.
• Work with business users to troubleshoot unexpected AI behavior in production and define the functional requirements for necessary adjustments.
• User Training & Solution Enablement
• Develop user guides, training materials, and documentation to simplify complex AI outputs for nontechnical stakeholders.
• Conduct workshops and hands-on training sessions to ensure business users can confidently navigate and utilize AI-driven recommendations in their daily workflows.
• Identify and nurture "AI Champions" within departments to drive grassroots adoption and gather feedback for iterative improvement.
• Monitor user engagement post-deployment to identify friction points and provide targeted support to underperforming teams.
• Gather and synthesize user feedback to inform the AI product roadmap, ensuring continuous alignment with evolving business needs

Personal Development

• Continuously stay updated and enhance your knowledge about the tools and technologies used within your unit.
• Stay informed about the evolution of emerging technologies and industry trends.

Key Competencies Requirements

Must Have

• Strong analytical and problem-solving skills
• Ability to translate business needs into data-driven solutions
• Experience working with data, dashboards, or analytics tools
• Familiarity with AI/ML concepts and limitations

Nice to Have

• Experience with FMCG, manufacturing, or supply chain systems
• Attention to detail and commitment to quality.
• Strong work ethic and reliability.
• Adaptability and continuous learning.
• Initiative and proactivity.
• Resilience under pressure and ability to meet deadlines.