Senior Generative AI Architect

At least 2 years of experience as an AI Architect__S

• Experience in the design and definition of architectures for Generative Artificial Intelligence solutions applied to the software development lifecycle.

• Pre-sales capability: design of technical solutions, preparation of estimates, identification and management of risks, technical documentation, and defense of proposals before clients.

• Solid knowledge of modern software architectures: Hexagonal Architecture, SOLID principles, microservices and nanoservices oriented architectures, Serverless, and Event-Driven Architectures (EDA).

• Extensive experience in the design and development of software architectures on Cloud environments (AWS, Azure, Google Cloud Platform).

• Experience working with APIs, SOAP/REST Web Services, API Management, and strategies for transforming monolithic architectures to microservices.

• Knowledge of security applied to enterprise architectures: authentication, authorization, identity management, OAuth, JWT, SAML, and related technologies.

• Experience in Generative Artificial Intelligence, Prompt Engineering, Context Engineering, and Large Language Models (LLMs), including parameter optimization and costs associated with model usage.

• Experience in AI-assisted development tools such as GitHub Copilot, Claude Code, or Codex.

• Knowledge of relational and non-relational databases (MySQL, Oracle, MongoDB, Redis, among others).

• General knowledge of frontend architectures based on technologies such as Angular, React, and other Javascript frameworks.

• Ability to work in a team, technical leadership, positive attitude, and excellent communication with clients and multidisciplinary teams.

• Sensitivity toward innovation, creativity, and the adoption of new technologies.

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

• Agentic platforms from cloud providers such as AWS, Azure, or Google Cloud.

• Enterprise architecture frameworks such as TOGAF.

• Architecture and design of complex technological ecosystems.

• DevOps tools and methodologies, Continuous Integration and Continuous Delivery (CI/CD).

• Software quality processes and technological governance.

• Experience in agile development methodologies.

• Previous experience participating in pre-sales processes and the preparation of technical proposals.

• Ability to communicate with technical and business profiles at different organizational levels.

• Cloud Certifications (AWS, Azure, or Google Cloud).

• Experience leading innovation and technological transformation initiatives based on

And with us, you will enjoy:

✅Permanent contract

✅ 100% REMOTE

✅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.

We are knowmad mood!

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.

Made up of more than 3,000 creative, digital, and innovative people connected by a shared purpose and capable of building connections with people around the world. A responsible, flexible team with a high capacity to adapt to the needs of our clients and the market, while delivering value, vision, creativity, expertise, professionalism, and passion for technology in every project.

The values that guide our direction and lead us toward excellence are collaboration, innovation, commitment, fun, and trust.

• Definition of AI Architectures: Design technical architectures for Generative Artificial Intelligence solutions applied to the software development lifecycle, guaranteeing scalability, security, and technological sustainability.

• Generative AI Services Technical Leadership:__SJ_HTML

• Solution Design and Pre-Sales:__SJ_HTML

• Systems Architecture and Integration: Design solutions based on APIs, distributed services, event-oriented architectures, and cloud environments, guaranteeing efficient integration between platforms and applications.

• Generative AI Application to Software Development:__SJ_

• Definition and Optimization of LLM-Based Solutions: Design, fine-tune, and optimize solutions supported by large language models, applying Prompt Engineering and Context Engineering techniques to maximize their performance and business value.

• Technological Governance and Software Quality: Drive quality standards, architectural best practices, and development processes that guarantee the technical excellence of the implemented solutions.

• Multidisciplinary Collaboration:

• Driving Innovation: Evaluate emerging technologies, agentic platforms, and new Generative AI capabilities to incorporate them into the service offering and accelerate the digital transformation of clients.