AI Acceleration Lead

Vacancy Notice 1491

INTERPOL is the world’s largest international police organization, with 196 Member Countries. Created in 1923, it facilitates cross-border police co-operation, and supports and assists all organizations, authorities, and services whose mission is to prevent or combat international crime. 

INTERPOL strives to achieve a diverse and inclusive workforce and welcomes applications from individuals with diverse backgrounds, experiences, and perspectives. To achieve our Diversity goals, we encourage applications from women and nationals of under/unrepresented member countries who are passionate about our mission. INTERPOL’s recruitment process is merit-based hence all hiring decisions are made considering the applicant’s qualifications and the needs of the Organization.

Job Title: AI Acceleration Lead  
Reporting To: Head of Department - IT Transformation and Automation

Location: Lyon
Type of contract: Fixed-term Contract
Duration (in months): 36.00
Grade: 4   
Number of post: 1
Level of Security screening:  Enhanced
Deadline for application: 22 February 2026

Conditions applying for all candidates

Only professional experience for which candidates can provide official proof of employment will be considered. Candidates could be requested to provide copies of such official documents prior to interviews/test.

* Subsequent extension to this post will be subject to the terms of the Organization’s Staff Manual, to satisfactory performance and to availability of funds.

Tests/interviews in connection to this selection procedure will take place approximately 2/3 weeks after the deadline for applications. Applicants are kindly requested to plan their availability during this period accordingly, in case they are short-listed.

​Selected candidates will be expected to report for duty approximately one to three months after receiving an offer of employment at the latest.

This selection exercise may be used to generate a reserve list of suitable candidates that may be used to address Organization's similar staffing needs in the future.

Within the Information and Communication Technology (ICT) Executive Directorate/Corporate Product, and reporting to the Head of Department - IT Transformation and Automation and the Artificial Intelligence (AI) Acceleration Lead is responsible for accelerating the adoption of AI capabilities across ICT products by participating directly in product squads to design, prototype, and deliver initial AI-enabled features.

The incumbent contributes hands-on to backend, retrieval, prompt logic, and user interface development, ensuring effective integration with the Organization’s AI and Data Platform.
The role provides technical enablement, proposes improvements to architectural approaches when required, and transfers knowledge to ensure squads can autonomously maintain and evolve AI capabilities.

Duty 1: Squad Participation for AI Feature Delivery

• Participate directly in product squads as an embedded AI specialist to accelerate the design, prototyping, and delivery of AI-enabled product features.
• Contribute hands-on to the development of AI components including backend logic, retrieval and prompt integration, and user interface elements required to expose AI features in the product.
  Collaborate closely with developers, architects, designers, and product managers to ensure that AI-powered user experiences are coherent, intuitive, secure, and aligned with product objectives.
  Ensure that initial AI features released to production have strong functional and UX foundations upon which squads can independently build and iterate.

Duty 2: Hands-On AI Prototyping, Solution Development and UI Implementation

• Design and implement functional prototypes and target AI components—such as prompt logic, retrieval integration flows, generation workflows, and supporting application logic—required for product-specific AI capabilities.
• Develop both backend and User Interface (UI)/User Experience (UX) elements for AI-enabled features, ensuring effective user interactions, contextual rendering of AI outputs, validation mechanisms, and robust error handling.
• Leverage the Organization’s AI and Data Platform capabilities to build complete end-to-end solutions and refine them iteratively using realistic operational scenarios.
• Optimize technical and user-experience dimensions of AI features (quality, safety, latency, clarity, usability, and cost) while ensuring alignment with platform constraints and technology standards.

Duty 3: AI Integration Support and Technical Enablement

• Guide product squads in effectively integrating AI features with backend services provided by the AI and Data Platform.
• Configure product-level retrieval logic, data flows, prompts, and generation patterns using standardized platform capabilities.
• Support squads in maturing prototypes into production-ready implementations, ensuring maintainability, quality, and adherence to engineering practices.

Duty 4: Architecture, Quality and Security Alignment

• Design AI-enabled solutions in coordination with Solution Architects to ensure scalability, interoperability, and alignment with established architectural principles.
• Apply AI-specific quality and safety evaluation methods in coherence with DevOps, Quality Assurance (QA), data governance, and security frameworks.
• Ensure solutions operate securely and responsibly when interacting with organizational data and platform services.
• Identify situations where existing architectural principles or standards are not fit for purpose in the context of AI delivery and proactively challenge these constraints by proposing well-justified alternatives or improvements in collaboration with architecture leadership.

Duty 5: Knowledge Transfer and Squad Upskilling

• Document patterns, prompts, evaluation methods, retrieval configurations, and UI implementations developed for AI features.
• Provide targeted coaching and structured handover to empower product squads to autonomously maintain, improve, and expand AI capabilities after initial delivery.

Duty 6: Cross-Squad AI Acceleration and Best Practices

• Develop reusable guidance, prompt libraries, configuration templates, retrieval-integration patterns, and evaluation frameworks that promote coherent and high-quality AI delivery across ICT.
• Share lessons learned, contribute to internal communities of practice, and foster consistent AI engineering standards across squads.

Duty 7: Continuous Improvement and Platform Feedback Loop

• Maintain a continuous feedback loop with the AI and Data Platform team by reporting integration challenges, usage patterns, performance findings, and emerging product needs.
• Contribute practical insights that help inform the evolution of backend AI services and supporting platform capabilities.

Duty 8: Change Management and Adoption Enablement

• Support product teams in preparing user-facing documentation, training material, and adoption guidance for AI-enabled features.
• Collect user feedback, assess initial functional impact, and support iterative improvements to maximize safe and effective adoption of AI capabilities.

Duty 9: Other Duties

• Perform any other related tasks as required by the hierarchy.

Education and qualification required:

• 3-4 years’ University education in Computer Science, Engineering, Artificial Intelligence, or a closely related field.
• Minimum of 5 years’ experience in software engineering or AI engineering, including hands-on implementation in production systems.
• Certifications in AI engineering, cloud services, data science, frontend development, or relevant emerging technologies are considered an asset.
• Proven experience in Large Language Models (LLM) integration, retrieval-augmented generation, vector-based search, or similar AI architectures.
• Demonstrated experience in UI development for interactive, assistive, or generative AI features.
• Experience of collaborating within Agile product squads and working across multidisciplinary teams.
• Experience participating in or guiding architectural discussions is an asset.
• Experience in international or public-sector organizations is an asset.

languages:

• Fluency in English is required.
• Proficiency in French or another language of the Organization would be an asset.

SPECIAL Abilities required:

• Strong knowledge of AI integration patterns, including Retrieval-Augmented Generation (RAG), prompt engineering, and model orchestration.
• Practical experience with modern frontend frameworks (e.g., Angular, React, Vue).
• Strong backend engineering skills (e.g., Python, Node.js, Java or equivalent).
• Understanding of secure software development, data protection, and responsible AI principles.
• Ability to diagnose and optimize end-to-end AI workflows (quality, safety, latency, cost).
• Strong problem-solving abilities with capacity to challenge architectural constraints when required.

Special aptitudes required:

• Personal and professional maturity.
• Ability to maintain objectivity and apply inductive reasoning.
• Ability to work persistently and under pressure.
• Excellent interpersonal and multicultural communication skills.
• Initiative, creativity, and intellectual curiosity.
• Strong organizational and documentation skills.
• Ability to develop and maintain professional networks.
• Excellent listening and collaboration abilities.