Technical Delivery Consultant – AI and Data Solutions

As the institutional representative of over 45 million businesses in more than 170 countries, the International Chamber of Commerce operates with a core mission to “make business work for everyone, every day, everywhere”. We act as the primary voice of the real economy in a range of intergovernmental organisations – from the World Trade Organization to the UN climate process – championing the needs of local business in global decision making. The convening power of our global network enables us to set rules and standards that facilitate over $17 trillion dollars in trade each year – as well as providing tailored products and digital services that directly address the real challenges faced by businesses operating internationally. We also provide the world's premier private global dispute resolution services, leveraging ICC's unique independence, integrity, and expertise.

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Mission and scope of services

We are seeking an independent Technical Delivery consultant to provide senior technical expertise across the design, implementation and evolution of AI-enabled products and shared technology capabilities.

Working alongside product managers, business experts and technical teams, you will contribute to translating business priorities into robust technical solutions while supporting delivery across AI, Digital and Data workstreams. You will combine modern AI engineering knowledge with enterprise architecture, product delivery and solution design expertise, contributing hands-on throughout the delivery lifecycle—from Discovery and Feasibility through implementation, release and operational readiness.

Core focus areas for the role are:

• Technical leadership for AI-enabled product delivery
• AI solution architecture and technical design
• AI platform and data platform evolution
• Enterprise integration and reusable technical capabilities
• Technical governance, quality and security
• Delivery support across AI, Digital and Data streams

Your responsibilities will include:

Technical strategy and solution design

• Develop technical solution approaches for AI-enabled products aligned with business objectives, requirements and conceptual product designs.
• Contribute to Discovery, Feasibility and Planning activities by assessing technical feasibility, architecture options, delivery considerations and implementation approaches.
• Translate business and product requirements into scalable technical architectures.
• Recommend solution patterns, reusable capabilities and technology approaches across AI, Digital and Data domains.
• Contribute to technology roadmaps supporting both product initiatives and shared platform evolution.
• Provide recommendations regarding technical risks, dependencies, trade-offs and implementation sequencing.

AI product architecture and delivery

• Lead detailed technical and architectural design activities during the Design phase of product delivery.
• Contribute to architecture decisions covering AI services, application architecture, integrations, APIs and data flows.
• Support implementation of AI-enabled solutions throughout development, testing and release activities.
• Facilitate technical coordination across AI, Digital and Data delivery streams.
• Contribute to solution quality by reviewing technical designs, implementation approaches and architecture consistency.
• Support Release Readiness activities, including technical validation, security considerations and operational readiness.
• Contribute to operational handover and technical documentation required for sustainable product operation.

AI platform and shared technology capabilities

• Contribute to the evolution of ICC's AI and Data Platform and shared digital capabilities.
• Design reusable technical components, integration patterns and platform services supporting multiple AI products.
• Recommend approaches for enterprise integration, API management and interoperability.
• Support technical governance, architecture standards and platform consistency across initiatives.
• Contribute to data architecture, metadata, security and platform scalability considerations.
• Advise on adoption of emerging AI technologies where appropriate.

AI engineering and technical excellence

• Contribute hands-on technical expertise during implementation of AI-enabled solutions.
• Design AI solution architectures incorporating large language models, retrieval systems, AI agents and orchestration frameworks where appropriate.
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