Agentic Platform Architect
Itransition
La Unión, Spain
15 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
EnglishJob location
Remote
La Unión, Spain
Tech stack
API
Artificial Intelligence
Amazon Web Services (AWS)
Computing Platforms
User Authentication
Azure
Cloud Engineering
Computer Security
Continuous Integration
Distributed Systems
Identity and Access Management
Software Engineering
Google Cloud Platform
Enterprise Software Applications
Cloud Platform System
Large Language Models
Generative AI
Kubernetes
Infrastructure Automation Frameworks
Virtual Agents
Devsecops
Microservices
Job description
- Define and govern the end-to-end architecture of the enterprise Agentic AI platform
- Design the AI Gateway and model access architecture
- Define identity, authentication, authorization, and token management patterns for AI agents
- Establish platform governance, security guardrails, and responsible AI controls
- Define the Agentic SDK, orchestration framework, and reusable engineering standards
- Design knowledge management, memory, and Retrieval-Augmented Generation (RAG) architecture
- Define observability, evaluation, monitoring, and quality assurance frameworks for AI agents
- Design agent deployment, release, and lifecycle management processes
- Drive platform adoption by establishing architecture standards, best practices, and governance
- Provide technical leadership and collaborate with engineering teams to ensure consistent implementation of architectural decisions
Requirements
- 12+ years of overall experience in software engineering, platform engineering, or enterprise technology
- Proven experience in platform architecture and designing enterprise-scale cloud-native platforms
- Strong knowledge of microservices architecture, API-led integration, and distributed systems
- Hands-on experience with public cloud platforms (AWS, Azure, or Google Cloud)
- Solid understanding of security architecture, identity and access management, and enterprise security best practices
- Experience with DevSecOps, CI/CD pipelines, and infrastructure automation
- Experience designing AI/ML or Generative AI platforms in enterprise environments
- Strong understanding of Large Language Models (LLMs), AI agents, orchestration frameworks, and Retrieval-Augmented Generation (RAG)
- Experience establishing architecture standards, governance models, and reusable platform capabilities
- Excellent stakeholder management, communication, and technical leadership skills
- Professional English, both written and spoken
Nice to have
- Cloud architecture certifications (AWS, Azure, or Google Cloud)
- Experience working in large-scale distributed engineering organizations
Benefits & conditions
- Projects for such clients as PayPal, Wargaming, Xerox, Philips, Adidas and Toyota
- Competitive compensation that depends on your qualification and skills
- Career development system with clear skill qualifications
- Flexible working hours aligned to your schedule
- Options to work remotely
- Corporate medical insurance covering services of private and public medical centers
- English courses online
- Corporate parties and events for employees and their children
- Internal conferences, workshops and meetups for learning and experience sharing
- Gym membership compensation
- 5 days of paid sick leave per year with no obligation to submit a sick-leave certificate