AI Platform Architect

We are a leading company in digital transformation, constantly evolving and at the forefront of technology. We were born to drive real change through innovation and sustainable development, with the mission of delivering value to our clients and empowering our talent.

• Design and evolution of the Corporate AI Platform: Define, build, and evolve a platform that allows teams to develop, deploy, and operate AI systems and agents autonomously, securely, and traceably.

• AI Platform Architecture: Design the components for model access and mediation, usage governance, cost control, and observability capabilities over the organization's technological ecosystem.

• Agentic Systems Design: Define agent architectures based on advanced orchestration, context management, tool integration, and RAG patterns for various corporate use cases.

• Harness Engineering: Design and build execution environments for AI agents, guaranteeing isolation, appropriate permissions, verifiability, and reproducibility of results.

• AI Governance and Security: Define technical controls and supervision mechanisms that ensure regulatory compliance, traceability, and risk management in the use of generative models and agents.

• AI Integration into the SSDLC: Incorporate AI capabilities within the development lifecycle through DevOps best practices, CI/CD, Kubernetes, and Infrastructure as Code.

• Architecture and Construction: Actively participate in both the architectural definition and the implementation of the solution, ensuring consistency between design and execution.

• Multidisciplinary Collaboration: Work together with architecture, engineering, security, platform, and development teams to drive the adoption of AI capabilities at an enterprise scale.

• Product Orientation: Manage the platform as an internal product, understanding its users' needs and continuously evolving it to maximize its adoption and business value.

Additionally, we will highly value if you have experience and/or knowledge in:

• Knowledge of the regulatory framework related to AI and the financial sector: EU AI Act, DORA, third-party risk management, and model providers.

• Experience in MLOps or LLMOps, including deployment of proprietary or self-hosted models, fine-tuning, and artifact management.

• Experience in multiple technological environments within the corporate ecosystem (Cloud, On-Premise, and Mainframe).

• Knowledge of integrating AI capabilities on Mainframe environments and legacy systems.

• Experience driving the adoption of AI tools for developers at an organizational level.

• Advanced knowledge of Kubernetes, observability, cloud platforms, and distributed architectures.

• Experience working with agile methodologies.

• Previous experience in banking or highly regulated environments.

We are knowmad mood!

At least 5 years of experience in Technical Architecture, Platform Engineering, or AI Architecture roles, participating in the design and implementation of corporate artificial intelligence platforms.

• Solid experience in hybrid environments, both Cloud (Azure, AWS, or GCP) and On-Premise (Kubernetes, VMware), with a vision for complex enterprise architectures.

• Experience in the design and implementation of self-service AI platforms, including AI Gateway, credential management, model routing, quota control, and cost optimization.

• Advanced knowledge of agentic architectures, including agent orchestration, context management, tool integration (MCP, Function Calling), and RAG patterns.

• Experience in Harness Engineering, designing secure, traceable, and reproducible execution environments for AI agents.

• Knowledge of AI model governance and lifecycle, quality assessment, traceability, and control of the use of approved models.

• Experience in AI-applied security: prompt injection, protection against data leaks, execution isolation, and management of associated risks.

• Knowledge of observability, monitoring, and economic control of model and agent consumption.

• Experience integrating AI capabilities within the software development lifecycle through CI/CD, IaC, and Kubernetes.

• Ability to work in a team and effective communication with architecture, platform, development, security, and business teams.

• We will especially value previous experience in banking environments or highly regulated sectors.

And with us, you will enjoy:

✅Permanent contract

✅Hybrid model: 3 days of remote work and 2 days in person in Madrid (Alcalá area)

✅In-house training and access to certifications ♻Check out our calendar here:

https://www.knowmadmood.com/en/talent/training

✅Flexible compensation plan (health insurance, transport, childcare vouchers, restaurant cards)

✅Brand ambassador program through our referral plan

Refer your friends and earn extra rewards!

✅Events, meetups, techdays, talks... and much more!

✅ 26 days of annual leave (22 vacation days, 2 personal days, and 24 and 31 December as company holidays by default)

✅ Working hours: 8:30 to 18:00 (Monday to Thursday) and 8:00 to 15:00 on Fridays, with an intensive summer schedule from July to August from 8:00 to 15:00.

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At knowmad mood, we are committed to equal opportunities and respect for diversity. We apply our Equality Plan and the principle of non-discrimination in all our recruitment processes.