Every year, we help hundreds of thousands of people find rewarding jobs in the ever-changing world of work. We understand the importance of a job in peoples lifes and we want to help them find work that feels good. And we’ll help them continue to grow as their needs and ambitions change. At Randstad, our value comes from our people and that is why we put them first. We are proud of our learning culture and career architecture framework that encourages ours team to develop both personally and professionally. We believe that talent grows when presented with opportunity and this is why we encourage our people to think beyond their role. We have created a culture that enables talent to flourish, encouraging entrepreneurship, fostering team spirit, and continually building mutual trust. We are seeking a Senior Expert with technical depth to own the architecture, design, and implementation of high-complexity RAG and Agentic AI solutions integrated with enterprise middleware with a robust microservices ecosystem. This role bridges the gap between cutting-edge AI research and robust, scalable enterprise applications, ensuring technical standards and innovation align with business strategy. key responsibilities and scope Lead the high-level design of AI agents and orchestration layers using frameworks like LangChain or LlamaIndex to solve complex business problems. Direct the development and optimization of Retrieval-Augmented Generation pipelines, ensuring efficient embeddings, vector search, and retrieval workflows. Oversee the integration of AI components into enterprise orchestration layers and business systems via secure RESTful APIs and microservices. Act as the ultimate technical escalation point, fixing complicated errors and resolving complex integration issues within the AI workload. Implement and champion technical standards, methods, and best practices for AI code quality, testing, and documentation across projects. Advise senior leadership on the feasibility and complexity of new AI products, influencing the development roadmap to meet technology strategies. Establish frameworks for evaluating, benchmarking, and monitoring models using standard metrics and observability tools. Lead project-based teams through the full development lifecycle of high-complexity AI software or infrastructure deliverables. Partner with Product, DevOps, Security, and Data teams to ensure end-to-end delivery of complex AI-enabled platforms. Identify quality and security risks in AI architectures and ensure compliance with enterprise policies and OWASP standards. Foster a development culture that supports creativity and rapid prototyping while maintaining high-quality, predictable delivery. required skills & experience 15+ years in software engineering with a proven specialized expertise in designing solutions of high complexity and scale in distributed architectures. In-depth proficiency in Python (FastAPI, PyTorch, TensorFlow) or Java (Spring Boot) for enterprise-grade application development. Hands-on experience in LLM orchestration (LangChain, LlamaIndex) & vector databases along with knowledge in RESTful API development and integrating AI/ML services into complex middleware and web platforms. Ability to convert complex technical information into compelling business context for non-technical stakeholders. Proficiency in data architecture, RDBMS, and managing data pipelines for production-grade model deployment. Strong understanding of MLOps, containerized deployments (Docker/Kubernetes), CI/CD pipelines, and cloud computing (AWS/Azure/GCP). Deep understanding of OAuth2, JWT, and security protocols required for enterprise AI applications. Master’s degree in Computer Science, Software Engineering, or a related field, or equivalent high-level experience. preferred experience Proven experience building orchestrated AI workflows or multi-agent systems in a production environment. Practical experience with managed platforms such as GCP Vertex AI, AWS Bedrock, or Azure OpenAI. Experience in MLOps, model lifecycle management, and cost optimization for high-scale AI workloads. History of working with event-driven systems or integrating AI features into legacy enterprise applications. Active contributions to open-source AI/ML projects or custom developer toolkits. leadership competencies Ability to guide others and set the direction for a job discipline without needing direct management authority. Strong negotiation and relationship management skills to align technical delivery with customer and business objectives. Strong analytical skills with the ability to work independently in the most complex, dynamic situations. A self-driven passion for staying updated on rapidly evolving trends in AI frameworks and orchestration technologies. Passion for building high-performing teams and commitment to fostering a diverse and equitable environment, valuing different perspectives to drive innovation Why Join Us Lead platforms that combine foundations (enterprise products) with modern capabilities (AI Agents, LLMs) Influence engineering culture, architecture, and tooling evolution Work with experienced teams and a forward-looking tech roadmap Opportunity to build systems that scale both technically and organizationally Is this the job for you? We would love to hear from you! Please apply directly to the role and we will get in touch with you. In the accelerating world of work, we offer unparalleled opportunities. Staffing, recruitment, selection, business development, HR, IT, marketing & communications, legal or finance - wherever your talent takes you, you'll find the perfect match in a job at Randstad. To know. To serve. To trust. Striving for perfection. Simultaneous promotion of all interests. Our core values, established in the company's early days, guide our behavior and represent the foundation of our culture. At Randstad, we aim to provide our employees with meaningful rewards and fair remuneration in order to strengthen their ties with the company, while encouraging outperformance. Remuneration is based on real outcomes also taking external market developments into account. We also encourage our employees to participate in Randstad's success via our employee Share Purchase Plan. Randstad is a champion of equity around the world. We believe this helps us build a more agile, productive, and innovative workforce that reflects our talent and client base, and the society in which we work. We believe in our employees and their ability to become leaders. We provide ample opportunities for employees to further develop their leadership skills, to acquire and build a global mindset, and to effectively manage and leverage cultural differences.

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