Senior Integration Architect at SGS

Madrid, Community of Madrid, Spain -

Full Time

Start Date

Immediate

Expiry Date

14 May, 26

Salary

0.0

Posted On

13 Feb, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Agentic AI, AI-Driven Automation, Enterprise Architecture, Technical Leadership, Product Ownership, Delivery Ownership, AI Agents, APIs, Event-Driven Architectures, Microsoft Copilot Studio, Azure AI Services, Azure OpenAI, API Management, Governance, Standards Definition, Stakeholder Influence

Industry

Professional Services

Description

Company Description SGS is the world’s leading Testing, Inspection and Certification company. We operate a network of over 2,500 laboratories and business facilities across 115 countries, supported by a team of over 100,000 dedicated professionals. With more than 145 years of service excellence, we combine the precision and accuracy that define Swiss companies to help organizations achieve the highest standards of quality, compliance and sustainability. Job Description The Senior Integration Architect will be a key member of the Global Architecture and Technology Team. The role is responsible for defining and driving the adoption of Agentic AI and AI-driven automation across the organization. This role combines enterprise-level architectural ownership with hands-on technical leadership and product/delivery owning, working on and supporting delivery teams in complex initiatives involving AI agents, APIs and event-driven architectures. The focus is on simplicity, sustainability, agility and innovation at scale. Agentic AI & Intelligent Automation Leadership Define and promote Agentic AI and AI-enabled integration architectures across the organization Lead the design of AI agent workflows, orchestration patterns and multi-agent systems Actively support delivery teams by: Leading AI-driven initiatives, intervening in complex technical challenges and contributing hands-on when required Drive the adoption of Microsoft Copilot Studio, including: Agent design and configuration, management and orchestration of agent flows and integration of agents with enterprise systems, APIs and events Design and deliver PoCs and solutions leveraging Azure AI services, including Azure OpenAI and related tooling Identify opportunities where Agentic AI can enhance or replace traditional integration and automation approaches Act as a technical reference and mentor for AI-enabled solutions within the Global Architecture community Qualifications Hold a Degree, Master’s, or PhD in Computer Science, or equivalent experience Real proved experience in agentic projects, including designing disruptive platforms and defining governance and guidelines Proactive, innovative and result-driven mindset: able ande experienced leading initiatives, drive delivery, influence stakeholders, and generate, create, and implement ideas that add value across the organization Knowledge of API Management, and Event-Driven Architectures (EDA) Translate complex business needs into practical technical solutions Lead and define governance, standards, and guidelines for projects Fluent communicator in English Additional Information Why SGS? Join a globally recognized and stable company, a leader in the Testing, Inspection, and Certification (TIC) industry. Enjoy a flexible schedule and a hybrid work model Access continuous learning opportunities through SGS University and Campus. Collaborate in a multinational environment with colleagues from various continents. Benefit from a comprehensive benefits platform. Apply Now: At SGS, we are committed to fostering an open, friendly, and supportive culture that thrives on teamwork. We value diversity and provide endless opportunities to learn, grow your expertise, and fulfill your potential. Apply now to join our motivated and dynamic team!

Responsibilities

The Senior Integration Architect will define and drive the adoption of Agentic AI and AI-driven automation across the organization, leading the design of AI agent workflows and multi-agent systems. This role involves actively supporting delivery teams by leading AI-driven initiatives, intervening in complex technical challenges, and driving the adoption of tools like Microsoft Copilot Studio.