Head of Technology — AISHA Technologies Ltd

AISHA (AI supported Healthcare Assistant) is an advanced AI healthcare assistant designed to deliver personalized, accessible, and intelligent healthcare experiences to users across Africa and beyond. AISHA leverages cutting-edge natural language processing, clinical decision support, and machine learning to provide real-time health guidance, symptom assessment, medication management, and care coordination — bridging the gap between patients and quality healthcare services.

The Head of Technology is a senior leadership role responsible for driving the full technology vision, architecture, and execution of the AISHA platform. This individual will lead a cross-functional engineering and AI team, oversee the design and scalability of the platform, ensure regulatory and data compliance, and translate product vision into robust, secure, and high-performing technical systems. The ideal candidate combines deep technical expertise in AI/ML and health technology with strong people leadership and a passion for impact-driven innovation.

1. Technology Strategy & Vision

• Define and execute AISHA's technology roadmap in alignment with product and business objectives.

• Lead architectural decisions across the AI, backend, frontend, and data layers of the platform.

• Stay ahead of emerging technologies in AI, health tech, and conversational agents, integrating relevant advances into AISHA.

• Advise executive leadership on technology investments, infrastructure, and capability building.

• Oversee development and continuous improvement of AISHA's core AI models — including NLP, symptom checker, diagnostic reasoning, and health recommendation engines.

• Collaborate closely with the Product team to translate user needs and clinical requirements into technical specifications.

• Drive LLM integration, fine-tuning, and responsible AI deployment practices.

• Ensure AI outputs are clinically appropriate, bias-mitigated, and explainable.

• Recruit, manage, and mentor a high-performing team of engineers, AI/ML researchers, and data scientists.

• Establish engineering best practices including agile delivery, code review, CI/CD pipelines, and documentation standards.

• Foster a culture of innovation, ownership, and technical excellence within the team.

• Manage vendor relationships and third-party integrations (e.g., EHR systems, telehealth APIs, payment gateways).

• Own the platform's infrastructure, ensuring high availability, scalability, and performance.

• Ensure AISHA meets all applicable data privacy regulations including NDPR (Nigeria Data Protection Regulation), HIPAA principles, and relevant health data governance frameworks.

• Lead cybersecurity strategy, risk management, and incident response protocols.

• Oversee cloud infrastructure (AWS/GCP/Azure) and ensure cost-effective resource management.

• Work closely with clinical advisors, product managers, and business leads to ensure technology serves health outcomes.

• Represent technology in board presentations, investor meetings, and partner discussions.

• Collaborate with the Regulatory and Legal team to ensure platform compliance with Nigerian and international health tech standards.

• Bachelor’s degree in Computer Science, Software Engineering, Electrical/Electronic Engineering, or a related field. (Required)

• Master’s degree in Artificial Intelligence, Health Informatics, or an MBA with a technology focus. (Preferred)

Experience

• Minimum of 8 years of progressive experience in software/product engineering, with at least 3 years in a senior technical leadership role.

• Demonstrated experience building and scaling AI-powered or data-driven products — healthtech experience is a strong advantage.

• Proven track record of leading end-to-end product technology delivery from MVP to growth stage.

• Experience working in or with African markets; understanding of low-bandwidth and mobile-first user environments is a plus.

• Strong proficiency in Python, and/or JavaScript/TypeScript; familiarity with Go or Rust is a plus.

• Deep expertise in machine learning frameworks (TensorFlow, PyTorch) and LLM orchestration tools (LangChain, OpenAI API, Anthropic API, etc.).

• Proficient in cloud platforms (AWS, GCP, or Azure), containerization (Docker/Kubernetes), and micro services architecture.

• Experience with FHIR, HL7, or other health data interoperability standards is an advantage.

• Familiarity with vector databases, RAG pipelines, and AI agent frameworks.

• Exceptional leadership and team-building skills with the ability to inspire and manage diverse technical teams.

• Strong strategic thinking balanced with hands-on technical credibility.

• Excellent communication skills — ability to translate complex technical concepts for non-technical stakeholders.

• High sense of ownership, accountability, and mission alignment with improving healthcare access.

• Competitive compensation and equity participation.

• Opportunity to build and lead technology at the intersection of AI and healthcare in one of Africa’s fastest-growing markets.

• Flexible hybrid work arrangement.

• Access to continuous learning resources, AI research communities, and industry conferences.

• A mission-driven team passionate about expanding access to quality healthcare through technology.