Top Tech Jobs & Startup Jobs

Lead enterprise AI delivery from discovery through implementation, designing secure Azure-based platforms involving LLMs, agents, RAG, orchestration, integrations, governance, and evaluation. Guide architecture, define AI and deterministic logic boundaries, lead technical workshops, support engineers with hands-on guidance, and translate business needs into actionable delivery plans.

Analyze customer bases, churn, lifecycle metrics, and campaign performance; create segmentation models, clusters, dashboards, and automated reports. Build and optimize data queries, extraction routines, pipelines, and models, then communicate actionable insights and recommendations to technical and business stakeholders. The role requires SQL, Python, CRM and digital marketing analytics, segmentation techniques, and data visualization skills.

Lead enterprise AI delivery and solution architecture for a secure Azure-based platform. Responsibilities include designing agentic workflows, RAG and knowledge retrieval, enterprise integrations, security and governance controls, AI evaluation, and human oversight. The role combines client-facing discovery and technical workshops with architectural leadership, hands-on engineering guidance, code reviews, and implementation planning. Candidates need strong enterprise AI experience, Azure expertise, software architecture knowledge, and the ability to integrate LLM capabilities with deterministic application logic.

Designs and implements production-grade AI agents and generative AI capabilities in Azure environments. Responsibilities include LLM integration, RAG and context retrieval, prompt engineering, structured outputs, tool calling, agent orchestration, guardrails, evaluation frameworks, golden datasets, automated quality testing, backend/API development, enterprise integrations, and ensuring AI security, observability, scalability, and reliability.

Coordinate Microsoft marketing projects across stakeholders, agencies, and delivery teams. Manage intake, planning, timelines, KPIs, SLAs, budgets, tracking, meetings, issue resolution, measurement plans, reporting, and lead uploads. Advise marketers on campaign processes, tools, governance, and services while identifying performance trends and efficiencies. The role requires fluent Dutch and English, client-facing project experience, marketing events experience, strong Microsoft Office skills, and legal authorization to work in the Netherlands.

Design and implement production-grade AI agents and generative AI services in Azure environments. Responsibilities include LLM integration, RAG and context retrieval, prompt engineering, structured outputs, tool calling, agent orchestration, guardrails, evaluation frameworks, golden datasets, automated quality testing, backend/API development, and enterprise-system integration. The role also contributes to AI security, observability, reliability, scalability, and technical implementation decisions alongside architects and engineers.

Leads enterprise commerce solution architecture, platform selection, replatforming, integrations, mobile and omnichannel strategy, business-case development, demonstrations, proposals, and client pitches. Builds trusted relationships with senior stakeholders, translates technology decisions into commercial value, and ensures solutions can transition effectively into delivery. The role spans Adobe Commerce, Salesforce Commerce Cloud, Shopify, composable architectures, ERP, data, order management, analytics, cloud, and emerging AI-enabled commerce.

Lead enterprise commerce solution architecture across platforms including Adobe Commerce, Salesforce Commerce Cloud, Shopify, HCL, and composable MACH solutions. Engage senior clients, run discovery workshops, design integrations across commerce, mobile, ERP, data, and back-office systems, and build business cases tied to commercial outcomes. Lead platform selection, replatforming, proposals, pitches, demonstrations, proofs of concept, and delivery handovers while shaping new business and partner opportunities.

Lead complex digital and eCommerce projects from initiation through delivery while overseeing software release planning, governance, deployment readiness, and post-release improvement. Manage scope, budgets, resources, risks, dependencies, stakeholder communications, and project reporting. Coordinate development, QA, DevOps, infrastructure, business, and third-party teams across development, testing, pre-production, and production environments.

Supports Mazda’s enterprise MarTech technology strategy, roadmap, CDP, CRM, personalization, taxonomy, audience segmentation, governance, and measurement initiatives. Translates business priorities into requirements, use cases, workstream plans, and recommendations. Coordinates stakeholders and agency partners, facilitates workshops, supports platform and governance decisions, and connects technology activity to measurable business outcomes. The role also mentors strategy resources and contributes reusable frameworks and thought leadership. Requires at least four days per week in-office with travel to Mazda and partner locations as needed.