Lisboa/Porto/Madrid/Barcelona/Timestamp UK(Fully Remote)
Timestamp Group aggregates several leading Portuguese IT solutions and services companies around the concepts of excellence and knowledge sharing. We are committed to technological leadership, based on the quality of our service and technological solutions, supported by continuous training and certification.
Design and implement end-to-end generative Al solution architectures that meet business requirements and adhere to industry best practices.
Translate complex business challenges into scalable, secure, and cost-efficient architectures leveraging generative Al technologies.
Evaluate and select appropriate frameworks and architectural patterns to ensure performance, scalability, and maintainability.
Develop prototypes and proof-of-concepts to validate architectural decisions and demonstrate business value.
Ensure Al solutions comply with ethical standards, governance frameworks, and regulatory requirements, embedding responsible Al practices into the architecture.
Provide technical leadership and mentorship to engineering and data science teams, ensuring alignment with architectural principles.
Stay abreast of emerging trends in GenAl design patterns, agentic frameworks, orchestration tools, and MCP (Model Context Protocol) to inform strategic and architectural decisions.
Communicate complex architectural concepts to technical and non-technical stakeholders effectively.
Generative Al architecture knowledge, including design patterns, solution blueprints, and best practices for enterprise adoption.
Expertise in cloud platforms (especially AWS) with experience designing solutions using services such s SageMaker, Bedrock, vector databases, etc.
Familiarity with MCP (Model Context Protocol) and its role in extensible, standardized agentic systems.
Strong ability to assess, select, and integrate generative Al models, orchestration frameworks, and agentic approaches into enterprise solutions.
Awareness of ethical considerations, governance frameworks, and responsible Al design, especially in generative use cases.
Minimum 5 years in Al/ML solution architecture, with at least 1 year focused on generative Al solution design and delivery.
Proven track record designing and delivering enterprise-grade Al systems on AWS or other major cloud platforms.
Bachelor’s or master’s degree in computer science, Data Science, Engineering, or a related field.
Relevant certifications (e.g., AWS Certified Solutions Architect, AWS Certified Machine Learning - Specialty, Google Professional Machine Learning Engineer) are a plus.
+ 5 YEARS
• Health insurance
• Flexibility in organizational routine
• Training and certifications
• Employee Support Program (in 5 areas, including psychology)
• Birthday and seniority gifts
• Monthly Happy Hour
• Benefits portal with attractive offers
Join us to challenge complexity with Intelligence!
We are an equal opportunity employer and welcome applications from all qualified individuals, regardless of race, ethnicity, religion, gender, sexual orientation, disability, age, or other protected status.
For more information about our Statement on Diversity, Equality, and Inclusion (DEI)