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 Development Manager to lead the architecture and delivery of a large-scale enterprise project, orchestrating the integration of Agentic AI and RAG (Retrieval-Augmented Generation) pipelines into a robust microservices ecosystem. This role blends technical leadership, people management, and delivery ownership, for a team delivering a suite of software solutions, including the integration of innovative, scalable, and secure AI-driven features into the enterprise ecosystem.job responsibilitieskey responsibilities and scopeSupervise the design, development, testing, and maintenance of software solutions and middleware integrations using Java/J2EE and AI integration to satisfy complex user requirements.Lead and provide direction to professional developers and tech leads, ensuring the appropriate structures and tools are in place to deliver excellence.Own performance and compensation management, technical development, and coaching for a diverse team of junior, intermediate, and senior professionals.Guide the team on microservices, REST APIs, and distributed systems, design and implementation of AI agents and orchestration layers while ensuring adherence to professional standards and engineering best practices.Manage software quality functions by monitoring metrics such as defect rates and leaked defects, identifying areas for process improvement.Drive a culture of innovation by encouraging the use of AI tools for code quality and testing where appropriate to enhance engineering efficiency.Own incident management and root cause analysis for AI workloads, ensuring production readiness and reliability and operational excellence across all platforms.Partner with Product, DevOps, Security, and Data teams to ensure seamless end-to-end delivery of integrated platforms.Identify quality and security risks in solution architectures, translating function policies into measurable team goals.required skills & experience15+ years in software engineering with a proven track record of leading multiple engineering teams through complex delivery cycles.Hands-on experience in Python or Java, Spring Boot, REST APIs, messaging, and distributed architectures in a microservices environment.Strong conceptual understanding of LLM frameworks (LangChain, LlamaIndex), RAG pipelines, and vector databases.Experience integrating AI/ML services via APIs into web applicationsSolid understanding of RDBMS, and data management principles for enterprise systems and performance tuningExperience in MLOps, cloud (AWS/Azure/GCP), Docker, and CI/CD pipelines, containerized deployments using Docker and KubernetesIn-depth knowledge of security best practices, including OAuth2, JWT, OWASP, and regulatory compliance.Exceptional ability to communicate complex technical concepts to both technical and non-technical stakeholders across the organization.preferred experienceExperience building large-scale or SaaS platforms and the deployment of production-grade AI agents and multi-agent systems.Familiarity with managed services such as GCP Vertex AI, AWS Bedrock, or Azure OpenAIExperience building data pipelines or event-driven systems for AI featuresExposure to managing projects involving React UI/frontend integration with backend microservices.Experien ce with cloud cost optimization and reliability engineeringContributions to open-source AI/ML projects or a history of driving innovation through rapid prototypingleadership competenciesAbility to align engineering efforts with business goals, making high-impact decisions on project funding and technology prioritizationClear communication across technical and non-technical stakeholders, ability to resolve conflicts within dynamic, fast-paced environmentsFull accountability for quality, security, and reliability, with a focus on long-term technical excellence of the team.A self-driven mindset with a passion for staying updated on the latest trends in AI, LLMs, and orchestration technologies.Passion for building high-performing teams and commitment to fostering a diverse and equitable environment, valuing different perspectives to drive innovationWhy Join UsLead platforms that combine foundations (enterprise products) with modern capabilities (AI Agents, LLMs)Influence engineering culture, architecture, and tooling evolutionWork with experienced teams and a forward-looking tech roadmapOpportunity to build systems that scale both technically and organizationallyIs 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.
