Agentic AI & Enterprise Architecture, Madrid

Ascendion; Madrid; Presencial; EUR 80.000 - 120.000; Jornada completa

Descripción de la vacante

A leading technology solutions provider seeks an experienced professional to lead enterprise architecture initiatives and design AI-powered operating models. The role requires extensive experience in technology consulting and managing large-scale digital transformations. Proven expertise in cloud platforms and AI/ML technologies is essential for driving successful outcomes. This position is based in Madrid, Spain.

Formación

• 15+ years in enterprise architecture, solution design, and technology consulting.
• 5+ years leading large-scale digital transformations (500+ person organizations).
• 3+ years hands-on experience with AI/ML platforms and Agentic AI implementations.

Responsabilidades

• Design and implement Agentic AI-powered operating models.
• Lead enterprise architecture initiatives across complex organizations.
• Design end-to-end solution architectures spanning various technologies.
• Lead C-level engagements for digital transformation strategies.

Conocimientos

Agentic AI

AWS

Azure

GCP

Kubernetes

Docker

CI/CD

Python

Java

JavaScript

C#

Descripción del empleo

Agentic AI & Enterprise Architecture

Key Responsibilities

1. Agentic AI Operating Model Design

• Design and implement Agentic AI-powered operating models for large-scale enterprise transformations
• Architect human‑AI collaboration frameworks and Digital Delivery Worker ecosystems
• Create Centers of Excellence (CoE) for AI‑Native delivery practices and governance
• Define organizational structures, role definitions, and capability models for AI‑augmented teams
• Establish metrics frameworks for measuring productivity in human‑AI collaborative environments

2. Enterprise Solution Architecture

• Lead enterprise architecture initiatives across complex, multi‑domain organizations
• Design end‑to‑end solution architectures spanning UI, backend, data platforms, and AI services
• Architect cloud‑native solutions on AWS, Azure, or GCP with focus on scalability and resilience
• Understanding of modern data architectures including data lakes, lakehouses, real‑time streaming, and AI/ML pipelines
• Establish architectural governance, standards, and best practices across technology stacks

3. Engineering Delivery Excellence

• Design and optimize Software Development Life Cycle (SDLC) processes for AI‑Native delivery
• Architect CI/CD pipelines, DevSecOps practices, and automated quality gates
• Lead technical due diligence and solution validation for complex transformation programs
• Mentor engineering teams on modern development practices and architectural patterns
• Drive adoption of platform engineering and developer experience optimization

4. Strategic Consulting Transformation

• Lead C‑level engagements for digital transformation and AI adoption strategies
• Conduct organizational assessments and design target state operating models
• Create business cases and ROI models for large‑scale technology transformations
• Facilitate workshops and design thinking sessions with senior stakeholders
• Develop transformation roadmaps with clear milestones, dependencies, and success criteria

Required Qualifications

1. Experience Background

• 15+ years in enterprise architecture, solution design, and technology consulting
• 5+ years leading large‑scale digital transformations (500+ person organizations)
• 3+ years hands‑on experience with AI/ML platforms and Agentic AI implementations
• Proven track record establishing Centers of Excellence and operating model transformations
• Experience across Banking, Financial Services, or Technology sectors

2. Technical Expertise

a. Cloud Infrastructure

• Expert‑level proficiency in AWS, Azure, or GCP cloud platforms
• Deep understanding of Kubernetes, Docker, microservices architecture
• Experience with Infrastructure as Code (Terraform, CloudFormation, ARM templates)
• Knowledge of cloud security, compliance frameworks (SOC2, PCI‑DSS, GDPR)

b. Data Analytics

• Expertise in modern data architecture patterns (Data Mesh, Data Fabric, Lakehouse)
• Proficiency with data platforms (Snowflake, Databricks, AWS Redshift, Azure Synapse)
• Experience with real‑time streaming (Kafka, Kinesis, Event Hubs)
• Knowledge of data governance, lineage, and quality frameworks

c. AI Machine Learning

• Hands‑on experience with Agentic AI platforms and multi‑agent orchestration
• Proficiency in LLM integration, prompt engineering, and RAG architectures
• Understanding of MLOps, model lifecycle management, and AI governance
• Experience with AI/ML platforms (Azure AI, AWS SageMaker, Google AI Platform)

d. Software Engineering

• Proficiency in multiple programming languages (Python, Java, JavaScript, C#)
• Deep understanding of API design, event‑driven architecture, and integration patterns
• Experience with modern frontend frameworks (React, Angular, Vue.js)
• Knowledge of database technologies (SQL, NoSQL, Graph databases)

e. Leadership Consulting Skills

• Executive presence with ability to influence C‑level stakeholders
• Proven ability to lead cross‑functional teams of 20+ members

Key Skills Summary

• Agentic AI
• AWS, Azure, GCP
• Kubernetes, Docker
• CI/CD
• Python, Java, JavaScript, C#