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Designs and delivers enterprise AI solutions using LLMs, agents, RAG, and cloud platforms; advises clients on AI strategy, governance, and implementation while building reusable AI frameworks.
Senior Architect designs Databricks-based big-data pipelines and AI/ML systems, guiding clients in healthcare, finance, and utilities to productionize GenAI and analytics workloads.
Lead AI-driven business transformations for private-equity portfolio companies, designing strategies and roadmaps that turn AI into measurable revenue growth, cost savings, and enterprise value.
Senior Cybersecurity Architect at a consulting firm, designing AI-enabled and agentic SOC modernization strategies for clients—spanning SIEM/SOAR platform architecture, detection engineering, tooling rationalization, and governance across SIEM, SOAR, XDR, and automation technologies.
Designs and maintains data pipelines and BI systems for DoorDash, integrating SevenRooms data and building AI infrastructure to support company-wide decision-making using tools like DBT, Looker, BigQuery, and Python.
About Trustly At Trustly, we're building a smarter, faster, and more secure financial future by revolutionizing the world of payments. As a global leader in Open Banking Payments, we are establishing Pay by Bank as…
Rithum™ is the world’s most trusted commerce network, accelerating how brands, suppliers, and retailers work together to deliver seamless e-commerce experiences. We provide an unmatched platform for brands and…
Camunda is the enterprise platform for agentic orchestration , enabling organizations to coordinate AI agents, people, and systems across complex, end-to-end business processes. With built-in governance, auditability,…
Senior DevOps engineer building and operating Kubernetes-based platforms, streaming systems, and observability stacks that power DoubleVerify's real-time ad-verification infrastructure at massive scale.
We are seeking a Software Architect to define and lead the technical vision for Apple's next-generation Finance Technology Platform. This is a platform-defining technical authority role, responsible for designing…
Company description Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally enabled state, both in the way they work and the way they serve their customers.…
Descripción del trabajo Lea el resumen de esta oportunidad para comprender qué habilidades, incluidas las habilidades interpersonales relevantes y el dominio de paquetes de software, se requieren. Build the Data and…
Why Keyrus, Why Now! Keyrus is an international group of 2,800 consultants and experts across 28 countries, built on a single conviction: AI does not transform businesses. Architected intelligence does. For more than…
Job Description: Employer: DWS Group Title: Lead Engineer – Data Platform Location: Madrid About DWS: Today, markets face a whole new set of pressures – but also a whole lot of opportunity too. Opportunity to innovate…
Free day to volunteer Your responsibilities and tasks The Industrial Data Engineer is responsible for designing, developing, and maintaining scalable data pipelines, databases, and analytics platforms that support…
Summary of the Role: As Product Engineer (Full Stack) at Maze, you’ll be the technical force behind our customer-facing product experience, owning the complete stack from UI to API while moving at startup velocity.…
OpenTeams is hiring a full-stack platform engineer to build an AI platform: API-first backend services (workflow orchestration, data ingestion, evaluation, identity federation) plus analyst-facing web consoles built on those same public APIs. Core stack includes Python/TypeScript/Go, a component-based frontend (React/Vue/Svelte), REST/GraphQL, OIDC/SAML/PKI auth, containers, and relational databas
Builds and operates the core services of a containerized, API-first AI platform — workflow orchestration, data ingest, model serving with policy enforcement, usage accounting, and audit logging — deployable across cloud, dedicated, and classified environments. Day-to-day work centers on Python or Go, Kubernetes/EKS, AWS, and Terraform/Helm.
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