AI Architect

Company Description

Alter Solutions Portugal is an IT Consultancy Company, promoter of Digital Transformation, part of the Alter Solutions Group, created in 2006, in Paris.
 

In 2022, Alter Solutions joined the act digital group, constituting a global community of talent in Technology, with presence in thirteen countries: Germany, Belgium, Brazil, Canada, United States of America, Mexico, Morocco, Spain, France, Luxembourg, Poland, Portugal and Serbia. Also in 2023, we were certified as a Great Place to Work©.
 

In Portugal, we partner with over 120 clients and a team of over 500 people, working in projects for industries as diverse as banking, insurance, transportation, aviation, energy, and telecom.
 

Headquarters of the Nearshore IT center, Alter Solutions Portugal has a dedicated team of around 30 specialized professionals, integrated into projects with several internationally renowned clients.

Job Description

Job description:

The Technology Architecture team plays a key role driving the technology landscape and it's responsible for ensuring that its technological strategy meets the challenges of the department.

The Technology Architecture team operates in this dynamic, international, bilingual English-French environment.

Main Tasks:

• Advise and guide on AI strategy and solutions;
• Prepare appropriate oral and written communications on AI related topics for technical and senior management audiences;                                         
• Contribute to the assessment of initiatives which require the need of Artificial Intelligence;
• Contribute, mentor, lead and advise Artificial Intelligence initiatives from a technical and governance standpoint;                                              
• Ensure coherence between IA processing requirements and corresponding infrastructure capacity, leveraging on monitoring and other sources;                                                  
• Contribute to the respect of Responsibility, Ethical, Efficiency and Security principles on AI;                                                      
• Critical thinking to challenge technical designs and solutions, while applying a mature enterprise architect approach;
• Competitive Intelligence in product and solution selection among different providers and identify key differentiator factors.                                                    

Qualifications

Technical Skills:

• Solid knowledge and experience on Artificial Intelligence topics (ML, LLM, GenAI, RAG, VectorDB, ...) and projects;
• Knows and understands the differences between the different LLMs, which is best solution for a given Use Case;                                                    
• Proven Technology Architect expertise - experience in several programming languages, knowledge around architecture patterns and principles, DevSecOps, etc.;                                                       
• Expertise on Cloud Solutions, KaaS, IaaS and PaaS hosting solutions;                                                       
• Ability to understand the scope and purpose of an application and propose/guide the team to comply with the adequate principles, guidelines and patterns;
• Abstract and Analytical Thinking in order to assess if a technical design meets the organization standards;                                      
• Ability to synthesize, organize and present reports to Management.                                                         

Language Skills:

• English (read, spoken, written) 

Soft Skills:

• Process and Results Oriented                  
• Autonomous, organized and delivery-focused with attention to detail                               
• Proactive taking own initiative to detect and highlight risk and propose remediation                                
• Great communication skills
• Ability to create vision in others                                         
• Multi-cultural and multi-location Experience
• Team Player                    

Additional Information:                        

• This mission is to be performed in a hybrid working model, with two days per week at the office;
• The candidate should be able to commute to the office always when necessary.