Senior Technology Architect- AI architect

• This position will be primarily responsible for liaising with clients and key internal stakeholders. Demonstrate technical proficiency in various stages of data projects (requirements definition solution construction data architecture design etc.). Plays a key role in creating highlevel data architecture and design artifacts. Overview of data management standards and governance validation of development processes and part of a learning culture where teamwork and collaboration are encouraged excellence is rewarded and diversity is valued.
  

• Assisting clients and providing thought leadership in data and analytics
  
• Understand functional and nonfunctional requirements to define the overall data management system architecture
  
• Demonstrate compelling business value to customers with data architecture/solutions that align with business scenarios
  
• Collaborate with internal stakeholders to outline data management standards guidelines management principles and policies in line with client requirements
  
• Document data flow from production to consumption and outline data integration techniques
  
• Specify access methods that align with data compliance regulations and requirements
  
• Creating a data reference architecture and framework
  
• Presales activities proposal creation presentations to customers
  

Requirements

• 
  
• 12
  
• 10 AI
  

• 8 AI/ML/DL /
  
• 5
  
• 
  
• 
  
• 
  
• 
  

• A bachelors degree from an accredited educational institution or an equivalent foreign qualification
  
• At least her 12 years experience in information technology
  
• At least 10 years of experience in AI design data architecture and solutions
  

• At least 8 years of experience in AI/ML/DL models data architecture/solution design skills data management and data governance
  
• 5 years of experience in data and analytics domain
  
• Excellent verbal and written communication skills
  
• Software development lifecycle experience
  
• Ability to work as a team in a multistakeholder environment
  
• Experience and desire to work in a global delivery environment
  

• This position will be primarily responsible for liaising with clients and key internal stakeholders. Demonstrate technical proficiency in various stages of data projects (requirements definition, solution construction, data architecture, design, etc.). Plays a key role in creating high-level data architecture and design artifacts. Overview of data management standards and governance, validation of development processes, and part of a learning culture where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is valued.
  

• Assisting clients and providing thought leadership in data and analytics
  
• Understand functional and non-functional requirements to define the overall data management system architecture
  
• Demonstrate compelling business value to customers with data architecture/solutions that align with business scenarios
  
• Collaborate with internal stakeholders to outline data management standards, guidelines, management principles and policies in line with client requirements
  
• Document data flow from production to consumption and outline data integration techniques
  
• Specify access methods that align with data compliance, regulations, and requirements
  
• Creating a data reference architecture and framework
  
• Pre-sales activities, proposal creation, presentations to customers
  

Requirements

• 
  
• 12
  
• 10 AI
  

• 8 AI/ML/DL /
  
• 5
  
• 
  
• 
  
• 
  
• 
  

• A bachelors degree from an accredited educational institution or an equivalent foreign qualification
  
• At least her 12 years experience in information technology
  
• At least 10 years of experience in AI design, data architecture, and solutions
  

• At least 8 years of experience in AI/ML/DL models, data architecture/solution design skills, data management, and data governance
  
• 5+ years of experience in data and analytics domain
  
• Excellent verbal and written communication skills
  
• Software development lifecycle experience
  
• Ability to work as a team in a multi-stakeholder environment
  
• Experience and desire to work in a global delivery environment