AI Expert - Advans Ghana Savings and Loans

Are you passionate about turning innovative AI ideas into intelligent, practical solutions? Do you thrive on designing smart automation systems, building AI agents, and exploring the possibilities of machine Learning? If you’re driven to improve operational efficiency, enhance customer experiences, and shape smarter business decisions through Secure, reliable, and responsible AI, we’d love to meet you!

Join us as an AI Expert and drive innovation through intelligent automation, secure AI solutions, and machine learning to enhance efficiency, elevate customer experiences, and shape smarter business decisions.

What will your role be?

The AI Expert will design, develop, secure, and manage AI agents, bots, and automation systems to improve operational efficiency, customer experience, and decision-making while ensuring compliance, reliability, and safety. The AI Expert will also manage AI risks, resolve incidents, monitor system performance, and train staff on the effective use of AI solutions.

MAJOR TASKS AND RESPONSIBILITIES

AI Solution Development and Deployment

• Identify, design, and implement AI models (e.g., predictive analytics, natural language processing, chatbots) to support key business areas.

• Develop AI solutions to enhance HR operations, Risk Monitoring, Fraud Detection, and other Strategic and Operational functions.

Data Strategy and Model Management

• Collaborate on data collection, cleaning, and preparation to support AI models.

• Continuously monitor, evaluate, and improve AI models for accuracy and relevance.

Business Impact and Innovation

• Provide insights on how AI can drive customer satisfaction, operational efficiency, and business growth.

• Explore and pilot innovative AI technologies suited for microfinance and savings & loans operations.

Governance and Compliance

• Ensure AI solutions comply with data privacy, security, and regulatory requirements.

• Document AI models and processes for transparency and audit purposes.

Knowledge Sharing and Capacity Building

• Train and coach staff and departments on the practical, responsible and safe use of AI tools and solutions, and contribute to the organisation’s AI adoption and enablement programme so colleagues can apply AI confidently and effectively in their work.

• Document AI solutions, runbooks and key decisions clearly so that any trained colleague can operate, support and audit them, while supporting the AI Expert in coaching junior colleagues and reviewing AI solutions proposed by other teams.

• Design, build and deploy secure agents and bots end to end, including tool permissions, retrieval, workflow orchestration, human-approval steps, testing, monitoring, audit trails and controlled release from pilot through production.

• Own production reliability, AI risk and incident response by applying approved governance controls, maintaining human oversight for high-impact decisions, testing security safeguards, containing incidents, preserving evidence and implementing lessons learned.

CHALLENGES

• Production reliability: Making agents work safely beyond demos.

• Control at pace: Keeping automation supervised and auditable.

• Data and systems: Managing poor data and legacy platforms.

• Rapid change: Keeping tools and controls current.

• Adoption: Building trust and practical use.

WHAT KIND OF PROFILE ARE WE LOOKING FOR?

You have a:

Minimum Education

• Bachelor’s or master’s degree in computer science, Software Engineering, Data Science, Artificial Intelligence or a related field, or equivalent proven experience.

Experience

• Minimum 3 to 5 years building and operating software or automation in production, of which at least 18 months shipping LLM-based or agentic systems with real users.

• Demonstrated work on evaluations, tracing and incident handling for AI or automation systems.

• Experience in the banking, microfinance or another regulated Sector is an advantage.

Training Requirements

• Evidence of recent, hands-on learning in agentic AI, AI security and responsible-AI governance (for example ISO/IEC 42001, ISO/IEC 27001 or NIST AI RMF awareness).

• Microsoft Power Platform or Azure certification (for example PL-200, PL-400, AI-102) and an AWS certification are advantages.

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