AI Solutions Architect
A role for people who turn business needs into solid, viable and sustainable AI solutions.
About the role
At WATA Factory we are looking for an AI Solutions Architect to translate the needs of the business areas into a target artificial intelligence architecture. Your mission will be to make sure solutions can be properly implemented, integrated and operated in the existing technology environment.
You will work side by side with technical AI profiles so that what is designed is technically implemented, integrated into the IT architecture and evolves sustainably in real-world environments.
Hybrid working, with the option to work remotely from Spain. Salary depending on experience and qualifications.
Your tasks
Designing end-to-end architectures for artificial intelligence solutions and projects
Selecting suitable platforms, tools, technology stacks and frameworks, including environments such as Azure, AWS, on-premise infrastructure, SAP BTP, hybrid architectures and solutions based on intelligent assistants, agents and language models
Defining APIs, microservices and integrations with existing systems, such as ERP, CRM, MES or other corporate systems
Evaluating and selecting model hosting and operation technologies, including container-based environments and model lifecycle management tools
Supporting the build-up of AI infrastructures and technology stacks, defining good operating practices such as CI/CD for models, MLOps and AI solution operations
Ensuring the compatibility of AI solutions with the existing application and data architecture, including corporate systems, data platforms and enterprise management systems
Assessing the performance, scalability, latency, data volume and security requirements of AI solutions
Building in security, privacy, data governance and regulatory compliance from the design stage, including access management, handling of sensitive data, anonymisation, encryption and GDPR compliance
Defining the operating model of AI solutions, including responsibilities, maintenance and operational effort
Identifying technology trends in artificial intelligence, assessing their strategic and technical relevance and integrating them into the technology architecture where they add value
Working in coordination with Data Engineers, Product Owners, and security, infrastructure and support teams, ensuring the technical consistency of solutions
Collaborating with AI Leads, AI Trainers and other stakeholders, aligning technical decisions with the overall artificial intelligence strategy
Taking part in the creation and validation of proofs of concept and prototypes, including their initial technical implementation
Carrying out technical feasibility analyses of artificial intelligence solutions
Supporting the operation and evolution of AI solutions in production, taking part in their deployment and maintenance together with the technical teams
The profile we’re looking for
We don’t expect you to match this list 100%. We value practical experience and a willingness to learn more.
Experience designing artificial intelligence solution architectures
Experience working with technology platforms, stacks and tools for AI solutions
Experience defining APIs, microservices and integrations with existing corporate systems
Experience working with model operation and hosting technologies, including container-based environments and model lifecycle management
Practical knowledge of MLOps, CI/CD for models and operating AI solutions
Ability to assess solutions in terms of performance, scalability, security and real-world operation
Ability to translate business needs into viable technical solutions
Genuine interest in the evolution of artificial intelligence and its technology trends, and in applying them in business environments
Ability to work with technical and business teams in complex environments
Fluent English (essential) and German desirable
What we offer
Permanent contract
Stability from the start to build teams and projects for the long term.
Private health insurance
Private medical insurance included, to look after your wellbeing in and outside work.
Training and technical culture
Technical workshops, internal sessions and room to experiment with new tools before taking them to production.
AI applied to real work
We use AI for documentation, testing and automation, always with human oversight and technical judgement.
European context
Direct collaboration with clients and international teams in real production environments.
Continuous learning
Technical training, internal workshops and shared knowledge as a natural part of everyday work.
Operational flexibility
Autonomy to organise your work with responsibility, focus and personal balance.
Senior teams
Close work with experienced people and shared technical decisions.
Real projects in production
Systems that need stability, continuous evolution and technical decisions with real impact.
This is WATA Factory
Spaces designed for collaborating, sharing knowledge and working close to the product.
Interested?
If you think this role is a good fit for you, we’d love to meet you.
Applying for: AI Solutions Architect
How the process works
We try to keep the process clear, quick and free of unnecessary steps.
01
We review your profile
We read every application carefully. If it fits the role, we’ll get in touch
02
Language check
Depending on the position, we’ll hold a short interview in English, German or both to confirm the required level
03
Technical chat
A technical conversation focused on real experience, decisions and problem solving
04
Final Feedback
Whether or not we move forward, you’ll get a clear and transparent answer.
The whole process usually takes between 2 and 3 weeks.