Agentic AI & Enterprise Architecture

Empresa: Ascendion
Provincia: Madrid
Población:  Madrid
Descripción: 
Key Responsibilities

1. Agentic AI and 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 and 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 either of AWS, Azure, and 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 and 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 and 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 and 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 and Infrastructure
– Expert-level proficiency in either of 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 and 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 and 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 and Consulting Skills
– Executive presence with ability to influence C-level stakeholders
– Proven ability to lead cross-functional teams of 20+ members
Tecnologías: Agentic AI,AWS, Azure, GCP, Kubernetes, Docker,CI/CD, Python, Java, JavaScript, C#
Tipo de Contrato: 
A determinar
Salario: Sin especificar
Experiencia: 
Funciones: Inteligencia Artificial/Machine Learning
Formación mínima: 
Ingeniero Superior
Descubre más: https://www.tecnoempleo.com/agentic-ai-enterprise-architecture-ascendion/agentic-ai-aws/rf-5c2c1c02f27dd3d7b543


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