Senior, Expert
We are knowmad mood!
We are a leading company in digital transformation, constantly evolving and at the forefront of technology. We were born to provoke real change through innovation and sustainable development, with the mission of providing value to clients and boosting our talent.
Composed of more than 3,000 creative, digital, and innovative people connected to a purpose and capable of generating connections with people from all over the world. A responsible, flexible team with a high capacity to adapt to the needs of our clients and the market, while providing value, vision, creativity, expertise, professionalism, and passion for technology in each project.
The values that guide our direction and lead us towards excellence are collaboration, innovation, commitment, fun, and trust.
What do we value?
Experience of at least 2 years as an AI Architect and/or Solutions Architect in complex technological environments.
Experience in the design and definition of architectures for Generative Artificial Intelligence solutions applied to the software development lifecycle.
Presales capability: design of technical solutions, estimation, identification and management of risks, technical documentation, and defense of proposals before clients.
Solid knowledge in modern software architectures: Hexagonal Architecture, SOLID principles, microservices and nanoservices oriented architectures, Serverless, and Event-Driven Architectures (EDA).
Extensive experience in 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.
Security knowledge 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-scale language models (LLMs), including parameter optimization and costs associated with model use.
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.
Teamwork capacity, technical leadership, positive attitude, and excellent communication with clients and multidisciplinary teams.
Sensitivity for innovation, creativity, and adoption of new technologies.
What would your functions be?
Definition of AI Architectures: Design technical architectures for Generative Artificial Intelligence solutions applied to the software development lifecycle, ensuring scalability, security, and technological sustainability.
Technical Leadership in Generative AI Services: Act as a technical reference within the AI Hub, promoting the adoption of good practices, architectural standards, and innovative solutions for clients and internal teams.
Solution Design and Presales: Participate in presales activities by performing technical designs, estimations, risk analysis, documentation, and presentation of technological proposals.
Architecture and System Integration: Design solutions based on APIs, distributed services, event-driven architectures, and cloud environments, ensuring efficient integration between platforms and applications.
Application of Generative AI to Software Development: Define and implement AI-assisted development strategies using tools such as GitHub Copilot, Claude Code, or Codex, optimizing development and delivery processes.
Definition and Optimization of LLM-based Solutions: Design, adjust, 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: Promote quality standards, good architectural practices, and development processes that ensure the technical excellence of implemented solutions.
Multidisciplinary Collaboration: Work jointly with development, business, operations, and architecture teams to identify improvement opportunities and define innovative technological solutions.
Innovation Drive: Evaluate emerging technologies, agentic platforms, and new Generative AI capabilities to incorporate them into the service offering and accelerate clients' digital transformation.
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.
Integration 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 presales processes and preparing 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 Generative Artificial Intelligence.
And with us you can enjoy:
✅Permanent contract ✅100% REMOTE ✅Internal training and access to certifications ♻Check our calendar here: https://www.knowmadmood.com/es/talento/formacion ✅Flexible remuneration plan (medical insurance, transport, nursery tickets, restaurant tickets) ✅Ambassador of our brand, through our friend plan Recommend your friends and get an extra! ✅Events, meetups, techdays, talks... and much more! ✅26 days off (22 days vacation, 2 days free disposal and Dec 24 and 31 holidays by default) ✅Schedule: 8:30 a.m. to 6 p.m. (flexible) Mon-Thurs and Fri 8 a.m. to 3 p.m. and Intensive Summer July and August from 8 a.m. to 3 p.m.
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In 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 selection processes.
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