AI Architect (m/w/d)
IBM
AI Architect (m/w/d)
Job Description
AI Architect (m/w/d)
📋 Job Overview
As an AI Architect at IBM Consulting, you will design and implement cognitive/AI solutions across multiple platforms, leading the development, integration, and testing of these solutions. You will collaborate with clients and internal teams to transform business problems into detailed technical architectures, leveraging IBM's technology platforms to drive innovation and adoption of new technologies for a global clientele.
📍 Location: Multiple Locations (Remote/Hybrid)
💼 Career Level: Professional
🎯 Key Responsibilities
- Designing and implementing cognitive/AI solutions
- Creating technical solution architecture for business problems
- Leading development, integration, and testing of solutions
- Collaborating with client stakeholders and internal partners to understand business problems and requirements
- Transforming detailed solutions into architectures for clients
- Selecting complementary analytics components for solution blueprints
- Accounting for performance architecture and engineering of cognitive/AI systems
- Covering the full information path from source to knowledge base and from input to processing content
✅ Required Qualifications
- Deep understanding of system engineering principles
- Knowledge of cloud architectures
- Familiarity with probabilistic and stochastic systems
- Experience with system decomposition techniques
- Understanding of system synthesis using cognitive/AI technology
- Familiarity with commonly used technology suites
- Thorough understanding of content formats, representations, data sources, content management systems, and interfaces
🛠️ Required Skills
- System engineering
- Cloud architectures
- Probabilistic systems
- Stochastic systems
- System decomposition
- System synthesis
- Cognitive/AI technology
- Analytics components
- Performance architecture
- Engineering
- Content formats
- Data sources
- Content management systems
- Interfaces
- Collaboration
- Leadership
- Technical expertise
- Innovation
- Problem-solving
- Creativity
🎁 Benefits & Perks
- Flexible working patterns
- Career growth and development opportunities
- An environment that embraces unique skills and experience
- Encouragement to be courageous and experiment
- Continuous trust and support
- An inclusive environment for all personal or professional backgrounds
Locations
- Multiple Locations, India (Remote)
Salary
Estimated Salary Rangemedium confidence
2,500,000 - 4,200,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- System engineeringintermediate
- Cloud architecturesintermediate
- Probabilistic systemsintermediate
- Stochastic systemsintermediate
- System decompositionintermediate
- System synthesisintermediate
- Cognitive/AI technologyintermediate
- Analytics componentsintermediate
- Performance architectureintermediate
- Engineeringintermediate
- Content formatsintermediate
- Data sourcesintermediate
- Content management systemsintermediate
- Interfacesintermediate
- Collaborationintermediate
- Leadershipintermediate
- Technical expertiseintermediate
- Innovationintermediate
- Problem-solvingintermediate
- Creativityintermediate
Required Qualifications
- Deep understanding of system engineering principles (experience)
- Knowledge of cloud architectures (experience)
- Familiarity with probabilistic and stochastic systems (experience)
- Experience with system decomposition techniques (experience)
- Understanding of system synthesis using cognitive/AI technology (experience)
- Familiarity with commonly used technology suites (experience)
- Thorough understanding of content formats, representations, data sources, content management systems, and interfaces (experience)
Responsibilities
- Designing and implementing cognitive/AI solutions
- Creating technical solution architecture for business problems
- Leading development, integration, and testing of solutions
- Collaborating with client stakeholders and internal partners to understand business problems and requirements
- Transforming detailed solutions into architectures for clients
- Selecting complementary analytics components for solution blueprints
- Accounting for performance architecture and engineering of cognitive/AI systems
- Covering the full information path from source to knowledge base and from input to processing content
Benefits
- general: Flexible working patterns
- general: Career growth and development opportunities
- general: An environment that embraces unique skills and experience
- general: Encouragement to be courageous and experiment
- general: Continuous trust and support
- general: An inclusive environment for all personal or professional backgrounds
Tags & Categories
AI Architect (m/w/d)
IBM
AI Architect (m/w/d)
Job Description
AI Architect (m/w/d)
📋 Job Overview
As an AI Architect at IBM Consulting, you will design and implement cognitive/AI solutions across multiple platforms, leading the development, integration, and testing of these solutions. You will collaborate with clients and internal teams to transform business problems into detailed technical architectures, leveraging IBM's technology platforms to drive innovation and adoption of new technologies for a global clientele.
📍 Location: Multiple Locations (Remote/Hybrid)
💼 Career Level: Professional
🎯 Key Responsibilities
- Designing and implementing cognitive/AI solutions
- Creating technical solution architecture for business problems
- Leading development, integration, and testing of solutions
- Collaborating with client stakeholders and internal partners to understand business problems and requirements
- Transforming detailed solutions into architectures for clients
- Selecting complementary analytics components for solution blueprints
- Accounting for performance architecture and engineering of cognitive/AI systems
- Covering the full information path from source to knowledge base and from input to processing content
✅ Required Qualifications
- Deep understanding of system engineering principles
- Knowledge of cloud architectures
- Familiarity with probabilistic and stochastic systems
- Experience with system decomposition techniques
- Understanding of system synthesis using cognitive/AI technology
- Familiarity with commonly used technology suites
- Thorough understanding of content formats, representations, data sources, content management systems, and interfaces
🛠️ Required Skills
- System engineering
- Cloud architectures
- Probabilistic systems
- Stochastic systems
- System decomposition
- System synthesis
- Cognitive/AI technology
- Analytics components
- Performance architecture
- Engineering
- Content formats
- Data sources
- Content management systems
- Interfaces
- Collaboration
- Leadership
- Technical expertise
- Innovation
- Problem-solving
- Creativity
🎁 Benefits & Perks
- Flexible working patterns
- Career growth and development opportunities
- An environment that embraces unique skills and experience
- Encouragement to be courageous and experiment
- Continuous trust and support
- An inclusive environment for all personal or professional backgrounds
Locations
- Multiple Locations, India (Remote)
Salary
Estimated Salary Rangemedium confidence
2,500,000 - 4,200,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- System engineeringintermediate
- Cloud architecturesintermediate
- Probabilistic systemsintermediate
- Stochastic systemsintermediate
- System decompositionintermediate
- System synthesisintermediate
- Cognitive/AI technologyintermediate
- Analytics componentsintermediate
- Performance architectureintermediate
- Engineeringintermediate
- Content formatsintermediate
- Data sourcesintermediate
- Content management systemsintermediate
- Interfacesintermediate
- Collaborationintermediate
- Leadershipintermediate
- Technical expertiseintermediate
- Innovationintermediate
- Problem-solvingintermediate
- Creativityintermediate
Required Qualifications
- Deep understanding of system engineering principles (experience)
- Knowledge of cloud architectures (experience)
- Familiarity with probabilistic and stochastic systems (experience)
- Experience with system decomposition techniques (experience)
- Understanding of system synthesis using cognitive/AI technology (experience)
- Familiarity with commonly used technology suites (experience)
- Thorough understanding of content formats, representations, data sources, content management systems, and interfaces (experience)
Responsibilities
- Designing and implementing cognitive/AI solutions
- Creating technical solution architecture for business problems
- Leading development, integration, and testing of solutions
- Collaborating with client stakeholders and internal partners to understand business problems and requirements
- Transforming detailed solutions into architectures for clients
- Selecting complementary analytics components for solution blueprints
- Accounting for performance architecture and engineering of cognitive/AI systems
- Covering the full information path from source to knowledge base and from input to processing content
Benefits
- general: Flexible working patterns
- general: Career growth and development opportunities
- general: An environment that embraces unique skills and experience
- general: Encouragement to be courageous and experiment
- general: Continuous trust and support
- general: An inclusive environment for all personal or professional backgrounds
Tags & Categories