20 publicaciones de empleo destacadas de lead ai architect en md (¡Están contratando!)

Senior AI Architect - Microsoft Technologies (relocation to the Netherlands)
EPAM Systems, Inc. —Madrid, Madrid provincia
- Azure
- DevOps
- AWS
- Programa de recomendación
- Plan de pensiones
1d
SAP AI Consultant | Multiple Modules | All Levels (1+ Years Experience)
Accenture —Madrid, Madrid provincia
- Jornada completa
- Ventas
- Inglés
- Máster
9d
AI Builder, Emerging Talent - Hebrew Market
Salesforce —Madrid, Madrid provincia
- Jornada completa
- Informática
- Ventas
- Inglés
Lead Consultant – AECO Technical Advisory
Autodesk —Madrid, Madrid provincia
- De 53.000 € a 77.000 € al año
- Jornada completa
- Español
- Inglés
- Habilidades de presentación
Global People Analytics Lead
Holcim —Madrid, Madrid provincia
- Español
- Microsoft Excel
- Inglés
- Plan de pensiones
Data & AI Engineering Lead
ENGIE —Madrid, Madrid provincia
- SQL
- AWS
- Machine learning
14d
AI Builder, Emerging Talent - Polish Market
Salesforce —Madrid, Madrid provincia
- Jornada completa
- Informática
- Ventas
- Inglés
Configurable Materials Master Data Domain Lead
Dormakaba Group —Madrid, Madrid provincia
- Jornada completa
- Informática
- Sistemas ERP
- Inglés
Lead, GTM Finance & Strategy
Duetto Research —Madrid, Madrid provincia
- Teletrabajo
- Google Suite
- Microsoft Excel
- Salesforce
Solicitud rápida
Lead Engineer - Copado Labs
Copado —Madrid, Madrid provincia
- Jornada completa
- Salesforce
- DevOps
- APIs
Solicitud rápida
Senior Machine Learning / AI Engineer
Chegg —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Oficina
- Máster
- SQL
AI Manager Technology Advisor
Kyndryl —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Español
- Azure
- Informática
Senior Technical Project Manager - Martech
Wunderman Thompson MAP —Madrid, Madrid provincia
- CRM software
- Oficina
- AWS
QA Engineer (Senior)
Xe —Alcobendas, Madrid provincia
- De 55.000 € a 65.000 € al año
- Jornada completa
- Trabajo híbrido
- Sistema operativo Windows
- SQL
- AWS
Solicitud rápida
Data & AI Strategy Data Science Analyst
Accenture —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Inglés
- Oficina
Lead Middleware Systems administration
Kyndryl —Madrid, Madrid provincia
- Jornada completa
- Azure
- DevOps
- Sistema operativo Windows
Travel & Expenses Manager
DDN —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Hotel
- Negociación
Solicitud rápida
Platform Domain Architect
Sanoma Media —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Español
- Azure
- Informática
Product Owner, Services
Univeris —Madrid, Madrid provincia
- De 30.000 € a 35.000 € al año
- Jornada completa
- Trabajo híbrido
- Español
- Inglés
- Oficina
Senior Product Systems Architect – GridBeats Substation Monitoring
GE Vernova —Madrid, Madrid provincia
- Jornada completa
- Azure
- Informática
- Inglés

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Senior AI Architect - Microsoft Technologies (relocation to the Netherlands)

EPAM Systems, Inc. -
Madrid, Madrid provincia

Solicitar ahora

Detalles del empleo

Hace 1 día

Beneficios

Programa de recomendación
Plan de pensiones

Cualificaciones

CI/CD
Azure
DevOps
Kernel
AWS
PostgreSQL
Terraform
SharePoint
GitHub
Cloud
Manufactura
Inteligencia artificial
SDLC

Descripción completa del empleo

We're looking for a Senior AI Architect to join our team in the Netherlands in a hybrid working mode. In this role, you will help clients design and scale production-grade AI platforms and solutions on Microsoft Azure. You will work at the intersection of enterprise architecture, cloud-native engineering, GitHub-enabled software delivery and responsible AI adoption.

This position focuses on shaping large-scale AI transformation programs that connect business outcomes with practical architecture design. You will engage in areas such as Azure AI platforms, copilots, RAG, agentic systems, governance, observability, evaluation, security and Responsible AI practices.

Unlike roles centered on proofs of concept, this opportunity involves delivering enterprise-grade AI systems embedded into real workflows, including engineering productivity, knowledge retrieval, automation and AI-enabled delivery. The challenges go beyond basic API calls and span AI-native software engineering, GitHub Copilot integration, secure architectures, FinOps and governance at scale.

You will collaborate with architects, engineers, Microsoft/GitHub specialists and client leadership teams to drive secure and governed AI adoption.

Responsibilities

Define target-state architectures for AI platforms, assistants, RAG systems, agents, AI gateways and AI-native engineering workflows
Lead architecture discovery, maturity assessments, technical roadmaps, platform decisions and delivery governance
Design Azure-first architectures using Microsoft Foundry, Azure OpenAI, Azure AI Search, Azure API Management, AKS, Azure Functions, Application Insights, Azure Monitor, Key Vault, Microsoft Entra ID, Cosmos DB, PostgreSQL and Microsoft Fabric where applicable
Design AI-native engineering systems using GitHub Copilot, GitHub Enterprise, GitHub Advanced Security, agent-ready repositories, secure pull-request practices and AI-assisted delivery patterns
Design harnesses around AI systems, including agent instructions, tool contracts, MCP integrations, retrieval grounding, evaluation suites, telemetry, cost controls, policy controls and human approval gates
Define governance and operational frameworks for Responsible AI, security, identity, FinOps and observability
Translate business outcomes into target architecture, executive narratives, platform decisions and delivery governance across client leadership, architecture, engineering and security teams
Facilitate workshops, hackathons and enablement sessions focused on AI adoption, Copilot integration and engineering excellence
Convert practical experience into reusable patterns, accelerators and architectural blueprints
Mentor architects and engineers and contribute to presales and solution design initiatives

Requirements

10+ years in solution architecture, cloud platforms or platform engineering
Strong experience with enterprise AI, GenAI, agentic systems, RAG and AI-native engineering
Proficiency with Microsoft Azure and modern cloud-native architecture
Knowledge of GitHub workflows (CI/CD, DevOps, IaC) and secure engineering practices
Track record of moving AI initiatives beyond PoC to enterprise-grade production environments
Hands-on capability to validate prototypes, review code and guide engineering decisions
Ability to explain how to make AI useful in production, not just impressive in a demo
Capability to design platform architecture, governance models, adoption plans and AI delivery workflows
Confidence working across enterprise realities, leveraging Azure and GitHub pragmatically
Strong communication skills with both executives and technical stakeholders

Nice to have

Experience with GitHub Copilot Enterprise adoption, AI-native SDLC transformation, GitHub Actions and GitHub Advanced Security
Familiarity with agent frameworks such as Semantic Kernel, LangChain, LangGraph, AutoGen, LlamaIndex, CrewAI or similar
Knowledge of Microsoft 365 Copilot, Copilot Studio, Microsoft Graph, Teams, SharePoint or Power Platform integration
Understanding of AI gateways, model routing, semantic caching, model abstractions, usage telemetry and AI FinOps
Background in enterprise infrastructure with Terraform/IaC, Kubernetes/AKS, CI/CD and secure API gateway practices
Awareness of agent reliability and security techniques, including workflow state, recovery, tool-permission boundaries, evaluation gates, prompt-injection defense, audit trails, rollback mechanisms and human approval workflows
Familiarity with compliance and governance standards such as GDPR, EU AI Act readiness or ISO/IEC 42001
Experience in regulated industries such as finance, healthcare, energy, retail, manufacturing or public sector
Knowledge of other AI ecosystems, including AWS Bedrock, Google Vertex AI, Databricks, Snowflake, Anthropic, OpenAI API or Hugging Face

We offer

26 paid holiday days
Pension plan scheme
Disability insurance (WGA Shortfall insurance)
Long-term disability insurance (WIA Top up insurance)
EPAM Employee Stock Purchase Plan (ESPP)
Commuting to work - costs reimbursement
Laptop + corporate simcard + corporate mobile device (subject to certain eligibility requirements)
Bike lease
Employee Assistance Program
Corporate Programs including Employee Referral Program with rewards
Learning and development opportunities including in-house training and coaching, professional certifications, and courses

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Refina tu búsqueda

lead ai architect empleos en md

Senior AI Architect - Microsoft Technologies (relocation to the Netherlands)

SAP AI Consultant | Multiple Modules | All Levels (1+ Years Experience)

AI Builder, Emerging Talent - Hebrew Market

Lead Consultant – AECO Technical Advisory

Global People Analytics Lead

Data & AI Engineering Lead

AI Builder, Emerging Talent - Polish Market

Configurable Materials Master Data Domain Lead

Lead, GTM Finance & Strategy

Lead Engineer - Copado Labs

Senior Machine Learning / AI Engineer

AI Manager Technology Advisor

Senior Technical Project Manager - Martech

QA Engineer (Senior)

Data & AI Strategy Data Science Analyst

Lead Middleware Systems administration

Travel & Expenses Manager

Platform Domain Architect

Product Owner, Services

Senior Product Systems Architect – GridBeats Substation Monitoring

Quiero recibir la alerta de empleo más reciente de lead ai architect en md

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