Senior Low Code AI Developer - Microsoft / Azure AI - UN Agency

NTT DATA Europe & Latam

Valencia

On-site

EUR 70,000 - 90,000

Full time

3 days ago
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Job summary

NTT DATA is seeking a senior Low Code AI Developer to join the team onsite in Valencia for a UN Agency project. The consultant assumes responsibility for developing AI Agents that directly add value to UN´s vision and deliver against the organisations mandate.

Design and deploy AI agents using Microsoft Copilot Studio, Azure OpenAI Studio, and Azure AI Foundry, integrate AI into business workflows, and ensure ethical AI with agile methods and telemetry tools to optimize performance and impact.

Qualifications

  • Master's degree in computer science or related field with two years of relevant professional experience, or;
  • University degree in the above fields with four year of relevant professional experience.
  • Hands-on experience developing and deploying AI agents using low-code/no-code tools such as Microsoft Copilot Studio, Power Apps, and Azure AI Studio, with a focus on real-world business use cases.
  • Proven experience integrating AI capabilities into business workflows using the Microsoft Power Platform and Azure AI services.
  • Strong practical knowledge of Microsoft Azure, particularly services supporting AI development, orchestration, data access (e.g., Azure AI Foundry, Azure Functions, Logic Apps, Azure Data Lake).
  • Demonstrated ability to troubleshoot and maintain low-code AI solutions, including multi-agent systems or coordinated agents in enterprise environments.

Responsibilities

  • Design and Deploy Low-Code AI Agents: Build tailored AI agents using Microsoft Copilot Studio, Azure OpenAI Studio, and Azure AI Foundry to address specific business challenges especially lightweight, high-value use cases where rapid automation can drive immediate impact.
  • Maximise Use of Microsoft AI Capabilities: Stay at the forefront of Microsoft's evolving AI feature set, proactively integrating new capabilities into existing solutions and workflows to enhance usability, productivity, and automation potential.
  • Develop and Maintain a Scalable Multi-Agent Architecture: Lead the creation and upkeep of low-code, multi-agent frameworks that support internal reuse, integration, and coordinated agent behaviour across the organisation.
  • Embed AI in Business Workflows: Collaborate with business process owners and solution architects to seamlessly integrate AI agents into existing workflows, ensuring ease of use, measurable value, and alignment with operational goals.
  • Ensure Compliance and Responsible AI Practices: Develop and deploy AI agents in line with the organization's standards on data protection, security, and ethical AI, promoting trust and accountability in every solution delivered.
  • Iterate and Optimise Agents Based on Feedback: Use agile methods, user testing, and telemetry tools such as Azure Monitor to iteratively refine agents for performance, reliability, and user satisfaction.
  • Translate Operational Needs into Agent Concepts: Work across teams to identify problems and opportunities that can be addressed through intelligent agents, translating these into practical, scalable solutions that meet real-world needs.

Skills

Low-code AI
Agent development
Business workflow integration
Agile methods
Troubleshooting

Education

Master's degree in CS or related field
Bachelor's degree with 4 years experience

Tools

Microsoft Copilot Studio
Power Apps
Azure AI Studio
Azure AI Foundry
Power Automate
Power Virtual Agents

Job description

NTT DATA is looking for a senior Low Code AI Developer to join the team onsite in Valencia for a UN Agency. The consultant assumes responsibility for developing AI Agents that directly add value to UN´s vision and deliver against the organisations mandate.

Key Responsibilities:
  • Design and Deploy Low-Code AI Agents: Build tailored AI agents using Microsoft Copilot Studio, Azure OpenAI Studio, and Azure AI Foundry to address specific business challenges especially lightweight, high-value use cases where rapid automation can drive immediate impact.
  • Maximise Use of Microsoft AI Capabilities: Stay at the forefront of Microsoft's evolving AI feature set, proactively integrating new capabilities into existing solutions and workflows to enhance usability, productivity, and automation potential.
  • Develop and Maintain a Scalable Multi-Agent Architecture: Lead the creation and upkeep of low-code, multi-agent frameworks that support internal reuse, integration, and coordinated agent behaviour across the organisation.
  • Embed AI in Business Workflows: Collaborate with business process owners and solution architects to seamlessly integrate AI agents into existing workflows, ensuring ease of use, measurable value, and alignment with operational goals.
  • Ensure Compliance and Responsible AI Practices: Develop and deploy AI agents in line with the organization's standards on data protection, security, and ethical AI, promoting trust and accountability in every solution delivered.
  • Iterate and Optimise Agents Based on Feedback: Use agile methods, user testing, and telemetry tools such as Azure Monitor to iteratively refine agents for performance, reliability, and user satisfaction.
  • Translate Operational Needs into Agent Concepts: Work across teams to identify problems and opportunities that can be addressed through intelligent agents, translating these into practical, scalable solutions that meet real-world needs.
Required Skills and Experience:
  • Master's degree in computer science or a related field from an accredited academic institution with two years of relevant professional experience, or;
  • University degree in the above fields with four year of relevant professional experience.
  • Hands-on experience developing and deploying AI agents using low-code/no-code tools such as Microsoft Copilot Studio, Power Apps, and Azure AI Studio, with a focus on real-world business use cases.
  • Hands-on experience developing and deploying AI agents using low-code/no-code tools such as Microsoft Copilot Studio, Power Apps, and Azure AI Studio, with a focus on real-world business use cases.
  • Proven experience integrating AI capabilities into business workflows using the Microsoft Power Platform (Power Automate, Power Apps, Power Virtual Agents) and Azure AI services (e.g., Azure OpenAI, Cognitive Services).
  • Strong practical knowledge of Microsoft Azure, particularly services supporting AI development, orchestration, data access (e.g., Azure AI Foundry, Azure Functions, Logic Apps, Azure Data Lake).
  • Demonstrated ability to troubleshoot and maintain low-code AI solutions, including multi-agent systems or coordinated agents in enterprise environments.
  • Experience collaborating with business users and external partners to co-design, test, and refine AI agents and automation tools aligned to operational goals.
  • Background in software or application development, with familiarity in Power Platform development, prompt engineering, and citizen-developer enablement being a distinct advantage.
  • Technical Acumen: Strong practical knowledge of AI/ML concepts, algorithms, and development frameworks, with the ability to translate technical specifications into functional code.
  • Platform Support: Ability to effectively manage, support, and troubleshoot AI platforms, particularly multi-agent systems, ensuring their stability and performance.
  • Problem-Solving: Strong analytical and creative thinking skills to diagnose technical issues and develop effective solutions for complex user needs or temporary operational requirements.
  • Communication: Ability to articulate technical concepts clearly to diverse stakeholders and collaborate effectively with both technical and non-technical teams.
  • Collaboration: Strong interpersonal skills for working effectively with business users, low-code developers, and managed services partners.
  • Adaptability: Ability to quickly learn new technologies and adapt to evolving project requirements in a dynamic environment.
  • Technical Alignment: Capability to review technical aspects of outsourced work to ensure consistency and alignment with internal standards.
  • Risk Awareness: Basic understanding of technical risks in AI development and deployment.
Languages:
  • English: Professional proficiency (written and spoken).
  • Working knowledge of French and/or Spanish is an advantage.

NTT DATA is a multinational consultancy company, employing over 200.000 professionals world-wide. Within the International Institutions we have framework contracts with European Institutions like: European Commission; European Parliament; European Court of Auditors; Europol; NATO; Court of Justice; EPO; European Council, United Nations, etc.

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