AI Solution Architect (m/w/d)
IBM
AI Solution Architect (m/w/d)
Job Description
AI Solution Architect (m/w/d)
📋 Job Overview
As an AI Solution 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 including Software and Red Hat. This role requires deep technical expertise in system engineering, cloud architectures, and AI technologies to drive innovation for clients globally.
📍 Location: Multiple Locations (Remote/Hybrid)
💼 Career Level: Professional
🎯 Key Responsibilities
- Design and implement cognitive/AI solutions across multiple platforms
- Create technical solution architecture for business problems
- Lead development, integration, and testing of solutions
- Collaborate with client stakeholders and internal partners to understand business problems and requirements
- Transform detailed solutions (architectures) for clients
- Select complementary analytics components for solution blueprints
- Account for performance architecture and engineering of cognitive/AI systems
✅ 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
- Thorough understanding of content formats, representations, data sources, content management systems, and interfaces
🛠️ Required Skills
- System engineering
- Cloud architectures
- Probabilistic and stochastic systems
- System decomposition
- System synthesis
- Cognitive/AI technology
- Content formats and representations
- Data sources
- Content management systems
- Interfaces
- Analytics components
- Performance architecture
- Engineering of cognitive/AI systems
- IBM Software
- Red Hat
🎁 Benefits & Perks
- Flexible working patterns
- Continuous learning and development opportunities
- Supportive environment for personal and professional growth
- Equal-opportunity employment
Locations
- Multiple Locations, India (Remote)
Salary
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 and stochastic systemsintermediate
- System decompositionintermediate
- System synthesisintermediate
- Cognitive/AI technologyintermediate
- Content formats and representationsintermediate
- Data sourcesintermediate
- Content management systemsintermediate
- Interfacesintermediate
- Analytics componentsintermediate
- Performance architectureintermediate
- Engineering of cognitive/AI systemsintermediate
- IBM Softwareintermediate
- Red Hatintermediate
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)
- Thorough understanding of content formats, representations, data sources, content management systems, and interfaces (experience)
Responsibilities
- Design and implement cognitive/AI solutions across multiple platforms
- Create technical solution architecture for business problems
- Lead development, integration, and testing of solutions
- Collaborate with client stakeholders and internal partners to understand business problems and requirements
- Transform detailed solutions (architectures) for clients
- Select complementary analytics components for solution blueprints
- Account for performance architecture and engineering of cognitive/AI systems
Benefits
- general: Flexible working patterns
- general: Continuous learning and development opportunities
- general: Supportive environment for personal and professional growth
- general: Equal-opportunity employment
Tags & Categories
Answer 10 quick questions to check your fit for AI Solution Architect (m/w/d) @ IBM.
Related Books and Jobs
AI Solution Architect (m/w/d)
IBM
AI Solution Architect (m/w/d)
Job Description
AI Solution Architect (m/w/d)
📋 Job Overview
As an AI Solution 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 including Software and Red Hat. This role requires deep technical expertise in system engineering, cloud architectures, and AI technologies to drive innovation for clients globally.
📍 Location: Multiple Locations (Remote/Hybrid)
💼 Career Level: Professional
🎯 Key Responsibilities
- Design and implement cognitive/AI solutions across multiple platforms
- Create technical solution architecture for business problems
- Lead development, integration, and testing of solutions
- Collaborate with client stakeholders and internal partners to understand business problems and requirements
- Transform detailed solutions (architectures) for clients
- Select complementary analytics components for solution blueprints
- Account for performance architecture and engineering of cognitive/AI systems
✅ 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
- Thorough understanding of content formats, representations, data sources, content management systems, and interfaces
🛠️ Required Skills
- System engineering
- Cloud architectures
- Probabilistic and stochastic systems
- System decomposition
- System synthesis
- Cognitive/AI technology
- Content formats and representations
- Data sources
- Content management systems
- Interfaces
- Analytics components
- Performance architecture
- Engineering of cognitive/AI systems
- IBM Software
- Red Hat
🎁 Benefits & Perks
- Flexible working patterns
- Continuous learning and development opportunities
- Supportive environment for personal and professional growth
- Equal-opportunity employment
Locations
- Multiple Locations, India (Remote)
Salary
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 and stochastic systemsintermediate
- System decompositionintermediate
- System synthesisintermediate
- Cognitive/AI technologyintermediate
- Content formats and representationsintermediate
- Data sourcesintermediate
- Content management systemsintermediate
- Interfacesintermediate
- Analytics componentsintermediate
- Performance architectureintermediate
- Engineering of cognitive/AI systemsintermediate
- IBM Softwareintermediate
- Red Hatintermediate
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)
- Thorough understanding of content formats, representations, data sources, content management systems, and interfaces (experience)
Responsibilities
- Design and implement cognitive/AI solutions across multiple platforms
- Create technical solution architecture for business problems
- Lead development, integration, and testing of solutions
- Collaborate with client stakeholders and internal partners to understand business problems and requirements
- Transform detailed solutions (architectures) for clients
- Select complementary analytics components for solution blueprints
- Account for performance architecture and engineering of cognitive/AI systems
Benefits
- general: Flexible working patterns
- general: Continuous learning and development opportunities
- general: Supportive environment for personal and professional growth
- general: Equal-opportunity employment
Tags & Categories
Answer 10 quick questions to check your fit for AI Solution Architect (m/w/d) @ IBM.
Related Books and Jobs