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 technology.
📍 Location: Multiple Locations (Remote/Hybrid)
💼 Career Level: Professional
🎯 Key Responsibilities
- Design and implement cognitive/AI solutions
- 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
- Cover the full information path from source to knowledge base and from input to processing content in Cognitive Computing/AI solutions
✅ 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
- Leadership
- Collaboration
- Technical expertise in AI and cognitive computing
- Understanding of hybrid cloud
- Knowledge of IBM's technology platforms including Software and Red Hat
- Creativity and innovation
- Ability to challenge the norm and investigate new ideas
🎁 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
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
- Leadershipintermediate
- Collaborationintermediate
- Technical expertise in AI and cognitive computingintermediate
- Understanding of hybrid cloudintermediate
- Knowledge of IBM's technology platforms including Software and Red Hatintermediate
- Creativity and innovationintermediate
- Ability to challenge the norm and investigate new ideasintermediate
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
- Design and implement cognitive/AI solutions
- 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
- Cover the full information path from source to knowledge base and from input to processing content in Cognitive Computing/AI solutions
Benefits
- general: Flexible working patterns
- general: Continuous learning and development opportunities
- general: Supportive environment for personal and professional growth
- general: Equal-opportunity employment
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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 technology.
📍 Location: Multiple Locations (Remote/Hybrid)
💼 Career Level: Professional
🎯 Key Responsibilities
- Design and implement cognitive/AI solutions
- 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
- Cover the full information path from source to knowledge base and from input to processing content in Cognitive Computing/AI solutions
✅ 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
- Leadership
- Collaboration
- Technical expertise in AI and cognitive computing
- Understanding of hybrid cloud
- Knowledge of IBM's technology platforms including Software and Red Hat
- Creativity and innovation
- Ability to challenge the norm and investigate new ideas
🎁 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
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
- Leadershipintermediate
- Collaborationintermediate
- Technical expertise in AI and cognitive computingintermediate
- Understanding of hybrid cloudintermediate
- Knowledge of IBM's technology platforms including Software and Red Hatintermediate
- Creativity and innovationintermediate
- Ability to challenge the norm and investigate new ideasintermediate
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
- Design and implement cognitive/AI solutions
- 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
- Cover the full information path from source to knowledge base and from input to processing content in Cognitive Computing/AI solutions
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 Architect (m/w/d) @ IBM.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs